Description
Robotics have been extensively applied for many practical applications, e.g., manufacturing, agriculture, ocean exploration, etc. To increase the performance of robots for these applications, concepts of human-robot interaction/collaboration and multiple collaborative robots have been extensively studied. However, robotics working in uncertain and unstructured environment will inevitably encounter unanticipated situations during their operation because of the effects of model uncertainties and environmental disturbances, which reduce the resilience and safety of the system. In addition, physical constraints on control efforts, states and safety boundaries limit the flexibilities of the design of control inputs. In this talk, we will present our new findings on digital twins with human-in-the-loop and learning methods for safety critical control for robotics systems subject to physical constraints (i.e., input saturation, working space constraints, obstacle avoidance, etc) to increase the response and safety of the system. Applications of safety critical control for physical human-robot collaboration (pHRI), mobile robots, and multiple collaborative autonomous underwater vehicles (AUVs) will be discussed.| Period | 07 Feb 2025 |
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| Event title | 10th ACIS International Conference on Big Data, Cloud Computing, and Data Science (BCD 2025-Winter) |
| Event type | Conference |
| Degree of Recognition | International |