A Framework for Customizable Multi-User Teleoperated Control
| Autor: | Jie Ying Wu, Peter Kazanzides, Gregory S. Fischer, Adnan Munawar, Russell H. Taylor |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Robot kinematics
Control and Optimization Supervisor Computer science Mechanical Engineering Autonomous agent Biomedical Engineering Input device Robot end effector Computer Science Applications law.invention Human-Computer Interaction Artificial Intelligence Control and Systems Engineering Human–computer interaction law Teleoperation Robot Computer Vision and Pattern Recognition Haptic technology |
| Zdroj: | IEEE Robotics and Automation Letters. 6:3256-3263 |
| ISSN: | 2377-3774 |
| DOI: | 10.1109/lra.2021.3062604 |
| Popis: | Traditional teleoperation (leader/follower) systems primarily focus on one operator controlling one remote robot, but as robots become ubiquitous, there is an increasing need for multiple operators, including autonomous agents, to collaboratively control multiple robots. However, existing teleoperation frameworks do not inherently support the variety of possible collaborations, such as multiple operators, each with an input device (leader), controlling a robot and camera or different degrees of freedom of a single robot (follower). The same concept applies to teleoperating robots in a simulation environment through physical input devices. In this letter, we extend our novel simulation framework that is capable of incorporating multiple input devices asynchronously with a real-time dynamic simulation to incorporate a customizable shared control. For this purpose, we have identified and implemented a sufficient set of coordinate frames to encapsulate the pairing of multiple leaders, followers and cameras in a shared asynchronous manner with force feedback. We demonstrate the utility of this framework in accelerating user training, ease of learning, and enhanced task completion times through shared control by a supervisor. |
| Databáze: | OpenAIRE |
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