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Progress and prospects of the human–robot collaboration
Recent technological advances in hardware design of the robotic platforms enabled the implementation of various control modalities for improved interactions with humans and unstructured environments. An important application area for the integration of robots with such advanced interaction capabilities is human–robot collaboration. This aspect represents high socio-economic impacts and maintains the sense of purpose of the involved people, as the robots do not completely replace the humans from the work process. The research community’s recent surge of interest in this area has been devoted to the implementation of various methodologies to achieve intuitive and seamless human–robot-environment interactions by incorporating the collaborative partners’ superior capabilities, e.g. human’s cognitive and robot’s physical power generation capacity. In fact, the main purpose of this paper is to review the state-of-the-art on intermediate human–robot interfaces (bi-directional), robot control modalities, system stability, benchmarking and relevant use cases, and to extend views on the required future developments in the realm of human–robot collaboration.
Journal Article
New development in robot vision
\"The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.\"--back cover.
Book
Review of Autonomous Path Planning Algorithms for Mobile Robots
Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles, play an increasingly important role in people’s work and lives. Path planning and obstacle avoidance are the core technologies for achieving autonomy in mobile robots, and they will determine the application prospects of mobile robots. This paper introduces path planning and obstacle avoidance methods for mobile robots to provide a reference for researchers in this field. In addition, it comprehensively summarizes the recent progress and breakthroughs of mobile robots in the field of path planning and discusses future directions worthy of research in this field. We focus on the path planning algorithm of a mobile robot. We divide the path planning methods of mobile robots into the following categories: graph-based search, heuristic intelligence, local obstacle avoidance, artificial intelligence, sampling-based, planner-based, constraint problem satisfaction-based, and other algorithms. In addition, we review a path planning algorithm for multi-robot systems and different robots. We describe the basic principles of each method and highlight the most relevant studies. We also provide an in-depth discussion and comparison of path planning algorithms. Finally, we propose potential research directions in this field that are worth studying in the future.
Journal Article
Surface polishing by industrial robots: a review
With the rapid development of modern industry, the surface of workpieces is becoming increasingly complex, and workpieces present the trend of small personalized batches. Robot polishing has become one of the required precision machining methods because of their excellent flexibility, ample working space, and strong maneuverability. Therefore, this paper reviews a series of precision machining methods based on robotic technology. First of all, the seven aspects of the operating principle of industrial robot polishing system like robot polishing force control technology, robot polishing trajectory planning, robot polishing path planning, robot teaching programming technology, robot polishing vibration control, multi-robot polishing control technology, and commercial robotic polishing systems, have been carried on in detailed by discussion and analysis. Secondly, researches on the basic architecture of the polishing robot are concluded by two aspects as researches on structure classification of the polishing robot and design of robot polishing end-effector. Finally, the study of robot polishing and future work are summarized.
Journal Article
Human-robot interaction : safety, standardization, and benchmarking
\"This book provides a comprehensive introduction to human robot interaction, with a focus on safety, standardization, and benchmarking. Featuring contributions from leading experts, the book presents state-of-the-art research and includes real-world applications and use cases. It explores industrial robotics, service robotics, and medical robotics, and features chapters on safety approaches for human robot interaction including physical interactions, collaboration in tasks, work space sharing, human aware motion planning, and existing standards and guidelines\"-- Provided by publisher.
Book
Augmented Reality for Robotics: A Review
Augmented reality (AR) is used to enhance the perception of the real world by integrating virtual objects to an image sequence acquired from various camera technologies. Numerous AR applications in robotics have been developed in recent years. The aim of this paper is to provide an overview of AR research in robotics during the five year period from 2015 to 2019. We classified these works in terms of application areas into four categories: (1) Medical robotics: Robot-Assisted surgery (RAS), prosthetics, rehabilitation, and training systems; (2) Motion planning and control: trajectory generation, robot programming, simulation, and manipulation; (3) Human-robot interaction (HRI): teleoperation, collaborative interfaces, wearable robots, haptic interfaces, brain-computer interfaces (BCIs), and gaming; (4) Multi-agent systems: use of visual feedback to remotely control drones, robot swarms, and robots with shared workspace. Recent developments in AR technology are discussed followed by the challenges met in AR due to issues of camera localization, environment mapping, and registration. We explore AR applications in terms of how AR was integrated and which improvements it introduced to corresponding fields of robotics. In addition, we summarize the major limitations of the presented applications in each category. Finally, we conclude our review with future directions of AR research in robotics. The survey covers over 100 research works published over the last five years.
Journal Article
Switchable constraints for robust simultaneous localization and mapping and satellite-based localization
Simultaneous Localization and Mapping (SLAM) has been a long-standing research problem in robotics. This resource describes the problem of a robot mapping an unknown environment, while simultaneously localising in it with the help of the incomplete map. This book summarises the foundations of factor graph-based SLAM techniques. It explains the problem of data association errors before introducing the novel idea of Switchable Constraints.
BOOK
Emotional Attachment, Performance, and Viability in Teams Collaborating with Embodied Physical Action (EPA) Robots
Although different types of teams increasingly employ embodied physical action (EPA) robots as a collaborative technology to accomplish their work, we know very little about what makes such teams successful. This paper has two objectives: the first is to examine whether a team's emotional attachment to its robots can lead to better team performance and viability; the second is to determine whether robot and team identification can promote a team's emotional attachment to its robots. To achieve these objectives, we conducted a between-subjects experiment with 57 teams working with robots. Teams performed better and were more viable when they were emotionally attached to their robots. Both robot and team identification increased a team's emotional attachment to its robots. Results of this study have implications for collaboration using EPA robots specifically and for collaboration technology in general.
Journal Article