About this Research Topic
Tele-operation systems have been extensively studied in the literature and used in various robotic applications, such as in surgery, search and rescue, and construction. However, most traditional tele-operation systems adopt a leader-follower paradigm, where the tele-operated robot follows the human’s movement and its controller design focuses on the stability and transparency of bilateral communication. This does not leverage the robot’s autonomy and imposes cognitive and physical loads on the human operator, especially in repetitive and tedious tasks. Conversely, if the robot’s strengths such as local sensing and accurate, fast execution capabilities are fully utilized, the human’s control effort can be reduced while simultaneously increasing task efficiency and performance.
In shared control between a human and a robot, many interaction scenarios arise wherein the robot must make its own decisions to plan its movement. These decisions range from when the robot should follow the human, when it should not, and could possibly extend to active conflicts between the two. The designer must also be aware of how the human adapts to the robot’s behavior, and how the latter’s design should incorporate such human motor adaptation.
In this Research Topic, we invite researchers and practitioners in relevant fields to address these challenging issues. Due to various application domains of tele-operation systems and the interdisciplinary nature of human-robot interaction, we are interested in both application-specific solutions and general frameworks that can be applied to different scenarios. We are also looking forward to works that focus on particular parts of tele-operation systems that have the potential to improve human-robot shared control e.g., sensors to detect human operator’s motion intent. Through the collective effort in this Research Topic, we aim to address the limitations of current tele-operation systems, and thus increase their efficiency, reduce human load and expand their applications.
Original research works that are related to shared control for tele-operation systems are welcome. Specific topics include but are not limited to:
• applications of tele-operation, e.g. surgery, construction, search and rescue
• human motion intent recognition
• human behavior modelling
• human motor control
• human-robot interface design
• human-robot collaboration
• shared control
In shared control between a human and a robot, many interaction scenarios arise wherein the robot must make its own decisions to plan its movement. These decisions range from when the robot should follow the human, when it should not, and could possibly extend to active conflicts between the two. The designer must also be aware of how the human adapts to the robot’s behavior, and how the latter’s design should incorporate such human motor adaptation.
In this Research Topic, we invite researchers and practitioners in relevant fields to address these challenging issues. Due to various application domains of tele-operation systems and the interdisciplinary nature of human-robot interaction, we are interested in both application-specific solutions and general frameworks that can be applied to different scenarios. We are also looking forward to works that focus on particular parts of tele-operation systems that have the potential to improve human-robot shared control e.g., sensors to detect human operator’s motion intent. Through the collective effort in this Research Topic, we aim to address the limitations of current tele-operation systems, and thus increase their efficiency, reduce human load and expand their applications.
Original research works that are related to shared control for tele-operation systems are welcome. Specific topics include but are not limited to:
• applications of tele-operation, e.g. surgery, construction, search and rescue
• human motion intent recognition
• human behavior modelling
• human motor control
• human-robot interface design
• human-robot collaboration
• shared control
Keywords: Shared Control, Tele-Operation, Physical Human-Robot Interaction, Human-Robot Collaboration
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
