Subjects -> COMPUTER SCIENCE (Total: 2313 journals)
    - ANIMATION AND SIMULATION (33 journals)
    - ARTIFICIAL INTELLIGENCE (133 journals)
    - AUTOMATION AND ROBOTICS (116 journals)
    - CLOUD COMPUTING AND NETWORKS (75 journals)
    - COMPUTER ARCHITECTURE (11 journals)
    - COMPUTER ENGINEERING (12 journals)
    - COMPUTER GAMES (23 journals)
    - COMPUTER PROGRAMMING (25 journals)
    - COMPUTER SCIENCE (1305 journals)
    - COMPUTER SECURITY (59 journals)
    - DATA BASE MANAGEMENT (21 journals)
    - DATA MINING (50 journals)
    - E-BUSINESS (21 journals)
    - E-LEARNING (30 journals)
    - ELECTRONIC DATA PROCESSING (23 journals)
    - IMAGE AND VIDEO PROCESSING (42 journals)
    - INFORMATION SYSTEMS (109 journals)
    - INTERNET (111 journals)
    - SOCIAL WEB (61 journals)
    - SOFTWARE (43 journals)
    - THEORY OF COMPUTING (10 journals)

AUTOMATION AND ROBOTICS (116 journals)                     

Showing 1 - 113 of 113 Journals sorted alphabetically
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 10)
ACM Transactions on Human-Robot Interaction     Open Access   (Followers: 3)
Advanced Robotics     Hybrid Journal   (Followers: 28)
Advances in Computed Tomography     Open Access   (Followers: 2)
Advances in Image and Video Processing     Open Access   (Followers: 24)
Advances in Robotics & Automation     Open Access   (Followers: 11)
American Journal of Robotic Surgery     Full-text available via subscription   (Followers: 7)
Annual Review of Control, Robotics, and Autonomous Systems     Full-text available via subscription   (Followers: 9)
Artificial Life and Robotics     Hybrid Journal   (Followers: 17)
Augmented Human Research     Hybrid Journal  
Automated Software Engineering     Hybrid Journal   (Followers: 9)
Automatic Control and Information Sciences     Open Access   (Followers: 4)
Automation and Remote Control     Hybrid Journal   (Followers: 5)
Autonomous Agents and Multi-Agent Systems     Hybrid Journal   (Followers: 9)
Autonomous Robots     Hybrid Journal   (Followers: 11)
Biocybernetics and Biological Engineering     Full-text available via subscription   (Followers: 4)
Biological Cybernetics     Hybrid Journal   (Followers: 10)
Biomimetic Intelligence and Robotics     Open Access  
Cognitive Robotics     Open Access   (Followers: 4)
Computational Intelligence and Neuroscience     Open Access   (Followers: 18)
Computer-Aided Design     Hybrid Journal   (Followers: 9)
Construction Robotics     Hybrid Journal   (Followers: 4)
Current Robotics Reports     Hybrid Journal   (Followers: 4)
Cybernetics & Human Knowing     Full-text available via subscription   (Followers: 3)
Cybernetics and Systems Analysis     Hybrid Journal  
Cybernetics and Systems: An International Journal     Hybrid Journal   (Followers: 1)
Design Automation for Embedded Systems     Hybrid Journal   (Followers: 4)
Digital Zone : Jurnal Teknologi Informasi Dan Komunikasi     Open Access  
Drone Systems and Applications     Open Access   (Followers: 1)
Electrical Engineering and Automation     Open Access   (Followers: 9)
Facta Universitatis, Series : Automatic Control and Robotics     Open Access   (Followers: 1)
Foundations and Trends® in Robotics     Full-text available via subscription   (Followers: 4)
Frontiers in Neurorobotics     Open Access   (Followers: 6)
Frontiers in Robotics and AI     Open Access   (Followers: 8)
GIScience & Remote Sensing     Open Access   (Followers: 58)
IAES International Journal of Robotics and Automation     Open Access   (Followers: 5)
IEEE Robotics & Automation Magazine     Full-text available via subscription   (Followers: 69)
IEEE Robotics and Automation Letters     Hybrid Journal   (Followers: 9)
IEEE Transactions on Affective Computing     Hybrid Journal   (Followers: 23)
IEEE Transactions on Audio, Speech, and Language Processing     Hybrid Journal   (Followers: 16)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 71)
IEEE Transactions on Cybernetics     Hybrid Journal   (Followers: 16)
IEEE Transactions on Intelligent Vehicles     Hybrid Journal   (Followers: 2)
IEEE Transactions on Medical Robotics and Bionics     Hybrid Journal   (Followers: 5)
IEEE Transactions on Neural Networks and Learning Systems     Hybrid Journal   (Followers: 54)
IEEE Transactions on Robotics     Hybrid Journal   (Followers: 71)
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews     Hybrid Journal   (Followers: 16)
IET Cyber-systems and Robotics     Open Access   (Followers: 2)
IET Systems Biology     Open Access   (Followers: 1)
Industrial Robot An International Journal     Hybrid Journal   (Followers: 2)
Intelligent Control and Automation     Open Access   (Followers: 6)
Intelligent Service Robotics     Hybrid Journal   (Followers: 2)
International Journal of Adaptive, Resilient and Autonomic Systems     Full-text available via subscription   (Followers: 3)
International Journal of Advanced Pervasive and Ubiquitous Computing     Full-text available via subscription   (Followers: 4)
International Journal of Advanced Robotic Systems     Full-text available via subscription   (Followers: 1)
International Journal of Agent Technologies and Systems     Full-text available via subscription   (Followers: 4)
International Journal of Ambient Computing and Intelligence     Full-text available via subscription   (Followers: 3)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 3)
International Journal of Applied Evolutionary Computation     Full-text available via subscription   (Followers: 3)
International Journal of Artificial Life Research     Full-text available via subscription  
International Journal of Automation and Control     Hybrid Journal   (Followers: 11)
International Journal of Automation and Control Engineering     Open Access   (Followers: 5)
International Journal of Automation and Logistics     Hybrid Journal   (Followers: 3)
International Journal of Automation and Smart Technology     Open Access   (Followers: 3)
International Journal of Bioinformatics Research and Applications     Hybrid Journal   (Followers: 14)
International Journal of Biomechatronics and Biomedical Robotics     Hybrid Journal   (Followers: 2)
International Journal of Cyber Behavior, Psychology and Learning     Full-text available via subscription   (Followers: 7)
International Journal of Humanoid Robotics     Hybrid Journal   (Followers: 6)
International Journal of Imaging & Robotics     Full-text available via subscription   (Followers: 3)
International Journal of Intelligent Information Technologies     Full-text available via subscription   (Followers: 1)
International Journal of Intelligent Machines and Robotics     Hybrid Journal   (Followers: 3)
International Journal of Intelligent Mechatronics and Robotics     Full-text available via subscription   (Followers: 5)
International Journal of Intelligent Robotics and Applications     Hybrid Journal  
International Journal of Intelligent Systems Design and Computing     Hybrid Journal   (Followers: 1)
International Journal of Intelligent Unmanned Systems     Hybrid Journal   (Followers: 3)
International Journal of Machine Consciousness     Hybrid Journal   (Followers: 7)
International Journal of Machine Learning and Cybernetics     Hybrid Journal   (Followers: 31)
International Journal of Machine Learning and Networked Collaborative Engineering     Open Access   (Followers: 11)
International Journal of Mechanisms and Robotic Systems     Hybrid Journal   (Followers: 2)
International Journal of Mechatronics and Automation     Hybrid Journal   (Followers: 5)
International Journal of Robotics and Automation     Full-text available via subscription   (Followers: 8)
International Journal of Robotics and Control     Open Access   (Followers: 3)
International Journal of Robotics Applications and Technologies     Full-text available via subscription   (Followers: 1)
International Journal of Robotics Research     Hybrid Journal   (Followers: 15)
International Journal of Space-Based and Situated Computing     Hybrid Journal   (Followers: 2)
International Journal of Synthetic Emotions     Full-text available via subscription  
International Journal of Tomography & Simulation     Full-text available via subscription   (Followers: 1)
Journal of Automation and Control     Open Access   (Followers: 9)
Journal of Biomechanical Engineering     Full-text available via subscription   (Followers: 12)
Journal of Computer Assisted Tomography     Hybrid Journal   (Followers: 2)
Journal of Control & Instrumentation     Full-text available via subscription   (Followers: 19)
Journal of Control, Automation and Electrical Systems     Hybrid Journal   (Followers: 11)
Journal of Intelligent and Robotic Systems     Hybrid Journal   (Followers: 6)
Journal of Intelligent Learning Systems and Applications     Open Access   (Followers: 4)
Journal of Physical Agents     Open Access   (Followers: 1)
Journal of Robotic Surgery     Hybrid Journal   (Followers: 3)
Journal of Robotics     Open Access   (Followers: 6)
Jurnal Otomasi Kontrol dan Instrumentasi     Open Access  
Machine Translation     Hybrid Journal   (Followers: 12)
Proceedings of the ACM on Human-Computer Interaction     Hybrid Journal   (Followers: 2)
Results in Control and Optimization     Open Access   (Followers: 5)
Revista Iberoamericana de Automática e Informática Industrial RIAI     Open Access  
ROBOMECH Journal     Open Access   (Followers: 1)
Robotic Surgery : Research and Reviews     Open Access   (Followers: 1)
Robotica     Hybrid Journal   (Followers: 5)
Robotics and Autonomous Systems     Hybrid Journal   (Followers: 19)
Robotics and Biomimetics     Open Access   (Followers: 1)
Robotics and Computer-Integrated Manufacturing     Hybrid Journal   (Followers: 7)
Science Robotics     Full-text available via subscription   (Followers: 11)
Soft Robotics     Hybrid Journal   (Followers: 5)
Universal Journal of Control and Automation     Open Access   (Followers: 2)
Unmanned Systems     Hybrid Journal   (Followers: 4)
Wearable Technologies     Open Access   (Followers: 4)

           

Similar Journals
Journal Cover
Current Robotics Reports
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Online) 2662-4087
Published by Springer-Verlag Homepage  [2468 journals]
  • Perception for Humanoid Robots

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      Abstract: Purpose of Review The field of humanoid robotics, perception plays a fundamental role in enabling robots to interact seamlessly with humans and their surroundings, leading to improved safety, efficiency, and user experience. This scientific study investigates various perception modalities and techniques employed in humanoid robots, including visual, auditory, and tactile sensing by exploring recent state-of-the-art approaches for perceiving and understanding the internal state, the environment, objects, and human activities. Recent Findings Internal state estimation makes extensive use of Bayesian filtering methods and optimization techniques based on maximum a-posteriori formulation by utilizing proprioceptive sensing. In the area of external environment understanding, with an emphasis on robustness and adaptability to dynamic, unforeseen environmental changes, the new slew of research discussed in this study have focused largely on multi-sensor fusion and machine learning in contrast to the use of hand-crafted, rule-based systems. Human robot interaction methods have established the importance of contextual information representation and memory for understanding human intentions. Summary This review summarizes the recent developments and trends in the field of perception in humanoid robots. Three main areas of application are identified, namely, internal state estimation, external environment estimation, and human robot interaction. The applications of diverse sensor modalities in each of these areas are considered and recent significant works are discussed.
      PubDate: 2023-11-28
       
  • Recent Developments in Self-Assembling Multi-Robot Systems

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      Abstract: Purpose of Review This review studies recent developments towards the physical design and control of self-assembling multi-robot systems. Recent Findings A wide range of novel robotic systems have been developed lately, for potential applications in terrestrial, aquatic, and aerospace environments. They increasingly make use of connectors which enable modules to join with each other at arbitrary points instead of discrete locations. Although the majority of contemporary algorithms are shape-driven, an increased focus on task-driven algorithms is observed. Summary Self-assembling multi-robot systems allow the same set of robots to adopt specific morphologies for different tasks. The requirements for robots to be able to connect to each other, locomote, and communicate have led to a wide range of physical designs realising different trade-offs. While algorithms are validated extensively in simulation, only a small portion are yet tested on real robotic platforms. Future research should investigate the real-world application of these systems, possibly aided by the introduction of standardised and open hardware.
      PubDate: 2023-11-24
       
  • Multi-Contact Activities by Humanoids

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      Abstract: Purpose of review The purpose of this review is to clarify the problems and discuss the recent research to achieve multi-contact activities by humanoid robots from the viewpoint of contact planning, motion planning, and motion control. We also provide a brief discussion about the future perspective to improve the capability of humanoid robots in real-world applications. Recent findings Multi-contact activities by humanoids are required when they work in unstructured environments such as large-scale manufacturing. To achieve them, recent works improve the computational efficiency of contact planners in the global search for a feasible contact sequence and tackle the problem of coupled kinematics and dynamics of the robot in whole-body motion planning. Combining them with the real-time controller to compensate for unexpected disturbances, humanoid robots have achieved complex multi-contact activities in the real world. Summary Since it is computationally expensive to plan multi-contact motion with non-coplanar contact and acyclic contact transitions from scratch, we decompose the framework for multi-contact activities into contact planning, motion planning, and motion control. Then, we investigate the problems and overview the recent efforts to solve them in each component. Finally, we summarize the current achievements and discuss future directions to improve the capability of multi-contact activities by humanoids.
      PubDate: 2023-11-18
       
  • Blockchain and Emerging Distributed Ledger Technologies for Decentralized
           Multi-robot Systems

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      Abstract: Purpose of Review: Distributed ledger technologies (DLTs), particularly blockchain, are paving the way to securing and managing distributed and large-scale systems of autonomous agents. We look into how these technologies are moving out of the lab and into the real world within the robotics field. Recent Findings: Despite the scalability and real-world applicability concerns, new solutions have emerged that show resilience to intermittent connectivity, as well as scalable solutions for managed or permissioned networks. Summary: We present a review on the various use cases that different DLTs can support in multi-robot systems. We argue that the majority of the work to date on open and permissionless blockchains is only applicable to a subset of robotics use cases, with novel DLT architectures and permissioned blockchains driving adoption across industrial and more mature application scenarios.
      PubDate: 2023-09-29
       
  • Bioinspired Soft Robotics: State of the Art, Challenges, and Future
           Directions

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      Abstract: Purpose of Review This review provides an overview of the state of the art in bioinspired soft robotics by examining advancements in actuation, functionality, modeling, and control. Recent Findings Recent research into actuation methods, such as artificial muscles, has expanded the functionality and potential use of bioinspired soft robots. Additionally, the application of finite dimensional models has improved computational efficiency for modeling soft continuum systems, and garnered interest as a basis for controller formulation. Summary Bioinspiration in the field of soft robotics has led to diverse approaches to problems in a range of task spaces. In particular, new capabilities in system simplification, miniaturization, and untethering have each contributed to the field’s growth. There is still significant room for improvement in the streamlining of design and manufacturing for these systems, as well as in their control.
      PubDate: 2023-09-21
       
  • Modeling and Simulation of Dynamics in Soft Robotics: a Review of
           Numerical Approaches

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      Abstract: Purpose of review In this review, we briefly summarize the numerical methods commonly used for the nonlinear dynamic analysis of soft robotic systems. The underlying mechanical principles as well as the geometrical treatment tailored for soft robots are introduced with particular emphasis on one-dimensional models. Additionally, the review encompasses three-dimensional frameworks, available simulation packages, and various types of interaction models, shedding light on the design, actuation, motion control, and internal and external forces of soft robots. Recent findings Reduced-order models can offer high efficiency in characterizing nonlinear deformations, allowing convenient tailoring based on specific structural and material configurations. For pursuing high simulation accuracy and detailed mechanics, the finite element method proves to be a valuable tool through numerous off-the-shelf platforms. Furthermore, machine learning has emerged as a promising tool to effectively address the challenges within the mechanics community. Summary A wide range of kinematic and dynamic numerical models is available for simulating the behaviors of soft robots, offering exceptional adaptability to different geometries and structures based on existing modeling theories and numerical solution algorithms. However, the trade-off between computational complexity and simulation accuracy remains a challenge in achieving fast, accurate, and robust control of soft robots in complex environments.
      PubDate: 2023-08-19
      DOI: 10.1007/s43154-023-00105-z
       
  • Formal Modelling for Multi-Robot Systems Under Uncertainty

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      Abstract: Purpose of Review To effectively synthesise and analyse multi-robot behaviour, we require formal task-level models which accurately capture multi-robot execution. In this paper, we review modelling formalisms for multi-robot systems under uncertainty and discuss how they can be used for planning, reinforcement learning, model checking, and simulation. Recent Findings Recent work has investigated models which more accurately capture multi-robot execution by considering different forms of uncertainty, such as temporal uncertainty and partial observability, and modelling the effects of robot interactions on action execution. Other strands of work have presented approaches for reducing the size of multi-robot models to admit more efficient solution methods. This can be achieved by decoupling the robots under independence assumptions or reasoning over higher-level macro actions. Summary Existing multi-robot models demonstrate a trade-off between accurately capturing robot dependencies and uncertainty, and being small enough to tractably solve real-world problems. Therefore, future research should exploit realistic assumptions over multi-robot behaviour to develop smaller models which retain accurate representations of uncertainty and robot interactions; and exploit the structure of multi-robot problems, such as factored state spaces, to develop scalable solution methods.
      PubDate: 2023-08-15
      DOI: 10.1007/s43154-023-00104-0
       
  • Human-Robot Teaming: Grand Challenges

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      Abstract: Purpose of Review Current real-world interaction between humans and robots is extremely limited. We present challenges that, if addressed, will enable humans and robots to collaborate fluently. Recent Findings Humans and robots have unique advantages best leveraged in Human-Robot Teams. However, human and robot collaboration is challenging, and creating algorithmic advances to support teaming requires careful consideration. Prior research on Human-Robot Interaction, Multi-Agent Robotics, and Human-Centered Artificial Intelligence is often limited in scope or application due to unique challenges in combining humans and robots into teams. Identifying the key challenges that apply to a broad range of Human-Robot Teaming applications allows for a focused and collaborative development of a future toward a world where humans and robots can work together in every layer of society. Summary In order to realize the potential of Human-Robot Teaming while avoiding potential societal harm, several key challenges must be addressed: (1) Communication, (2) Modeling Human Behavior, (3) Long-Term Interaction, (4) Scalability, (5) Safety, (6) Privacy, (7) Ethics, (8) Metrics and Benchmarking, (9) Human Social and Psychological Wellbeing.
      PubDate: 2023-08-08
      DOI: 10.1007/s43154-023-00103-1
       
  • Koopman Operators for Modeling and Control of Soft Robotics

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      Abstract: Purpose of Review We review recent advances in algorithmic development and validation for modeling and control of soft robots leveraging the Koopman operator theory. Recent Findings We identify the following trends in recent research efforts in this area. (1) The design of lifting functions used in the data-driven approximation of the Koopman operator is critical for soft robots. (2) Robustness considerations are emphasized. Works are proposed to reduce the effect of uncertainty and noise during the process of modeling and control. (3) The Koopman operator has been embedded into different model-based control structures to drive the soft robots. Summary Because of their compliance and nonlinearities, modeling and control of soft robots face key challenges. To resolve these challenges, Koopman operator-based approaches have been proposed, in an effort to express the nonlinear system in a linear manner. The Koopman operator enables global linearization to reduce nonlinearities and/or serves as model constraints in model-based control algorithms for soft robots. Various implementations in soft robotic systems are illustrated and summarized in the review.
      PubDate: 2023-07-03
      DOI: 10.1007/s43154-023-00099-8
       
  • Communication for Underwater Robots: Recent Trends

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      Abstract: Purpose of Review Underwater robot communication – both between underwater robots and between other nodes and stations out of the water – is essential for intelligent cooperative behaviors and for enabling high-impact applications such as ocean monitoring and exploration, surveillance, and pollution cleaning. This paper surveys recent literature on underwater communication with a specific focus on underwater robots and their autonomy with the objective of identifying recent research trends, open challenges, and future directions. Recent Findings From out-of-the-water communication, underwater communication presents unique challenges, including low bandwidth of the communication channel and the lack of reliable communication infrastructure. Current research has looked at reducing the cost of the devices, designing more realistic communication models, and including those models in robot planning. Summary While current efforts have made progress on underwater communication systems for supporting robotics autonomy, reliable communication for long-term operations remains an open problem. Exciting research directions, including but not limited to simpler communication configuration, selective information sharing, and graceful recovery, emerge from this survey, which can contribute towards heterogeneous robotic systems that can be deployed for the exploration of the underwater world.
      PubDate: 2023-06-30
      DOI: 10.1007/s43154-023-00100-4
       
  • Resiliency in Space Autonomy: a Review

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      Abstract: Purpose of Review: The article provides an extensive overview on the resilient autonomy advances made across various missions, orbital or deep-space, that captures the current research approaches while investigating the possible future direction of resiliency in space autonomy. Recent Findings: In recent years, the need for several automated operations in space applications has been rising, that ranges from the following: spacecraft proximity operations, navigation and some station keeping applications, entry, decent and landing, planetary surface exploration, etc. Also, with the rise of miniaturization concepts in spacecraft, advanced missions with multiple spacecraft platforms introduce more complex behaviours and interactions within the agents, which drives the need for higher levels of autonomy and accommodating collaborative behaviour coupled with robustness to counter unforeseen uncertainties. This collective behaviour is now referred to as resiliency in autonomy. As space missions are getting more and more complex, for example applications where a platform physically interacts with non-cooperative space objects (debris) or planetary bodies coupled with hostile, unpredictable, and extreme environments, there is a rising need for resilient autonomy solutions. Summary Resilience with its key attributes of robustness, redundancy and resourcefulness will lead toward new and enhanced mission paradigms of space missions.
      PubDate: 2023-03-16
      DOI: 10.1007/s43154-023-00097-w
       
  • Machine Ethics and Cognitive Robotics

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      Abstract: Purpose of Review There is much debate in machine ethics about the most appropriate way to introduce ethical reasoning capabilities into robots and other intelligent autonomous machines (IAMs). The main problem is that hardwiring intelligent and cognitive robots with commands not to cause harm or damage is not consistent with the notions of autonomy and intelligence. Also, such hardwiring does not leave robots with any course of action if they encounter situations for which they are not programmed or where some harm is caused no matter what course of action is taken. Recent Findings Recent developments in intelligent autonomous vehicle standards have led to the identification of different levels of autonomy than can be usefully applied to different levels of cognitive robotics. In particular, the introduction of ethical reasoning capability can add levels of autonomy not previously envisaged but which may be necessary if fully autonomous robots are to be trustworthy. But research into how to give IAMs an ethical reasoning capability is a relatively under-explored area in artificial intelligence and robotics. This review covers previous research approaches involving case-based reasoning, artificial neural networks, constraint satisfaction, category theory, abductive logic, inductive logic, and fuzzy logic. Summary This paper reviews what is currently known about machine ethics and the way that cognitive robots as well as IAMs in general can be provided with an ethical reasoning capability. A new type of metric-based ethics appropriate for robots and IAMs may be required to replace our current concept of ethical reasoning being largely qualitative in nature.
      PubDate: 2023-02-28
      DOI: 10.1007/s43154-023-00098-9
       
  • Perception for Underwater Robots

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      Abstract: Purpose of Review The purpose of this review is to survey recent work in the area of perception for underwater robots. We consider problems such as object-level identification and classification, Simultaneous Localization and Mapping (SLAM), and 3D reconstruction. Our goal is to understand the current state of the art, how old shortcomings have been addressed, and the new issues introduced by recent work. Recent Findings We consider findings in several key areas. In vision, lower-cost consumer-grade cameras have been employed to perform mapping of large-scale areas. In sonar imaging, we find major steps forward in terms of reconstruction quality, with datasets for semantic labeling still incomplete. In bathymetry, we find many mature and robust systems. Lastly, in side-scan sonar we find a budding research area, with much promise ahead and some impressive initial work. Summary We break our survey down by sensor modality and consider three key areas; object-level identification and classification, SLAM, and 3D reconstruction.
      PubDate: 2022-10-24
      DOI: 10.1007/s43154-022-00096-3
       
  • Reproducibility in Human-Robot Interaction: Furthering the Science of HRI

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      Abstract: Purpose of Review To discuss the current state of reproducibility of research in human-robot interaction (HRI), challenges specific to the field, and recommendations for how the community can support reproducibility. Recent Findings As in related fields such as artificial intelligence, robotics, and psychology, improving research reproducibility is key to the maturation of the body of scientific knowledge in the field of HRI. The ACM/IEEE International Conference on Human-Robot Interaction introduced a theme on Reproducibility of HRI to their technical program in 2020 to solicit papers presenting reproductions of prior research or artifacts supporting research reproducibility. Summary This review provides an introduction to the topic of research reproducibility for HRI and describes the state of the art in relation to the HRI 2020 Reproducibility theme. As a highly interdisciplinary field that involves work with technological artifacts, there are unique challenges to reproducibility in HRI. Biases in research evaluation and practice contribute to challenges in supporting reproducibility, and the training of researchers could be changed to encourage research reproduction. The authors propose a number of solutions for addressing these challenges that can serve as guidelines for the HRI community and related fields.
      PubDate: 2022-10-22
      DOI: 10.1007/s43154-022-00094-5
       
  • Robots in Healthcare: a Scoping Review

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      Abstract: Purpose of Review Robots are increasingly being adopted in healthcare to carry out various tasks that enhance patient care. This scoping review aims to establish the types of robots being used in healthcare and identify where they are deployed. Recent Findings Technological advancements have enabled robots to conduct increasingly varied and complex roles in healthcare. For instance, precision tasks such as improving dexterity following stroke or assisting with percutaneous coronary intervention. Summary This review found that robots have played 10 main roles across a variety of clinical environments. The two predominant roles were surgical and rehabilitation and mobility. Although robots were mainly studied in the surgical theatre and rehabilitation unit, other settings ranged from the hospital ward to inpatient pharmacy. Healthcare needs are constantly evolving, as demonstrated by COVID-19, and robots may assist in adapting to these changes. The future will involve increased telepresence and infrastructure systems will have to improve to allow for this.
      PubDate: 2022-10-22
      DOI: 10.1007/s43154-022-00095-4
       
  • A Survey of Underwater Human-Robot Interaction (U-HRI)

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      Abstract: Purpose of Review This review provides an overview of the current state of the art in Underwater Human-Robot Interaction (U-HRI), which is an area that is quite different from standard Human-Robot Interaction (HRI). This is due to several reasons. First of all, there are the particular properties of water as a medium, e.g., the strong attenuation of radio-frequency (RF) signals or the physics of underwater image formation. Second, divers are bound to special equipment, e.g., the breathing apparatus, which makes, for example, speech recognition challenging, if not impossible. Third, typical collaborative marine missions primarily requires a high amount of communication from the diver to the robot, which accordingly receives a lot of attention in U-HRI research. Recent Findings The use of gestures for diver-to-robot communication has turned out to be a quite promising approach for U-HRI as gestures are already a standard form of communication among divers. For the gesture front-ends, i.e., the part dealing with the machine perception of individual signs, Deep Learning (DL) has become to be a very prominent tool. Summary Human divers and marine robots have many complementary skills. There is hence a large potential for U-HRI. But while there is some clear progress in the field, the full potential of U-HRI is far from being exploited, yet.
      PubDate: 2022-09-23
      DOI: 10.1007/s43154-022-00092-7
       
  • Review on Needle Insertion Haptic Simulation

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      Abstract: Purpose of Review This short review updates an exhaustive one written by Correa et al. in 2019 about haptic training simulation on needle insertion in the medical field. Recent Findings Latest works refine well-known models and enhance setups and methods to facilitate generically getting experimental data. Summary We provide a complementary focus on device specifications and recent models to render this specific haptic feedback on computer-based simulators. Assessment approaches and the issues encountered when introducing such simulators into curricula are also discussed. FEM-based approaches still do not permit real-time computation but hybrid approaches as proposed by Wittek et al. in 2020 may become a good compromise. Nonetheless, psychophysical studies should be performed to determine the haptic fidelity of the various approaches found in the literature, and embed them efficiently in medical curricula. This would permit to delay the necessary final hands-on training on patients that raises ethical issues.
      PubDate: 2022-09-17
      DOI: 10.1007/s43154-022-00093-6
       
  • A Critical Review of Communications in Multi-robot Systems

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      Abstract: Purpose of Review This review summarizes the broad roles that communication formats and technologies have played in enabling multi-robot systems. We approach this field from two perspectives: of robotic applications that need communication capabilities in order to accomplish tasks, and of networking technologies that have enabled newer and more advanced multi-robot systems. Recent Findings Through this review, we identify a dearth of work that holistically tackles the problem of co-design and co-optimization of robots and the networks they employ. We also highlight the role that data-driven and machine learning approaches play in evolving communication pipelines for multi-robot systems. In particular, we refer to recent work that diverges from hand-designed communication patterns, and also discuss the “sim-to-real” gap in this context. Summary We present a critical view of the way robotic algorithms and their networking systems have evolved, and make the case for a more synergistic approach. Finally, we also identify four broad Open Problems for research and development, while offering a data-driven perspective for solving some of them.
      PubDate: 2022-08-22
      DOI: 10.1007/s43154-022-00090-9
       
  • Recent Advances in AI for Navigation and Control of Underwater Robots

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      Abstract: Purpose of Review The goal of this paper is to review current developments in the area of underwater robotics regarding the use of AI, especially in model learning, robot control, perception and navigation as well as manipulation. Recent Findings AI technologies and advanced control techniques are finding their way into robotics systems to deal with complex and challenging conditions and to equip them with higher levels of autonomy. Summary Although AI techniques and concepts are already a focus area in research on autonomous underwater systems, broad adoption to commercial systems is still in its infancy. Nonetheless, major advances have been done in recent years, especially on integrating different capabilities (perception, navigation, advanced control) in a single system and with first approaches on interaction and autonomous manipulation.
      PubDate: 2022-08-19
      DOI: 10.1007/s43154-022-00088-3
       
  • Autonomous Underwater Manipulation: Current Trends in Dynamics, Control,
           Planning, Perception, and Future Directions

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      Abstract: Purpose of Review Research in underwater manipulation has mostly focused on solving individual parts of the manipulation challenge; however, we believe a systemic approach needs to be taken to achieve full autonomy. With this survey, we aim to provide a review of the different dynamic modeling, control, motion planning, and perception methodologies presented in the literature, and, more importantly, we intend to highlight the necessary steps that need to be taken to achieve fully autonomous underwater manipulation. Recent Findings Achieving autonomous manipulation in underwater environments is a complex and multi-disciplinary challenge. Recent works have focused on moving from simulation-based environments to experimental validation of the proposed methods. Furthermore, the advancements of machine learning have been making an impact in the underwater manipulation, data-driven strategies playing a central role in the last years developments. Summary We present an overview of the current trends in the area of autonomous underwater manipulation. First, we provide a review of state-of-the-art algorithms developed in the area of dynamic modeling, control, motion planning, and perception. Second, we discuss the limitations of the current systems and present possible avenues to obtain robust autonomous manipulation.
      PubDate: 2022-07-27
      DOI: 10.1007/s43154-022-00089-2
       
 
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