LHMP 2021, Part 4: Invited talk by Lihui Wang (KTH)
3rd Workshop on Long-term Human Motion Prediction (LHMP)
Part 4: Invited talk by Lihui Wang (KTH)
Human-robot collaboration has attracted increasing attentions in recent years, both in academia and in industry. For example, in human-robot collaborative assembly, robots are often required to dynamically change their pre-planned trajectories to collaborate with human operators in a shared workspace. However, industrial robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, human motion prediction is crucial for both collision avoidance and proactive assistance to humans, in addition to multi-modal robot control. Deep learning is used for classification, recognition and context awareness identification. Within the context, this presentation provides an overview as well as technical treatment on motion prediction for human-robot collaboration. Remaining challenges and future directions will also be highlighted.
IEEE International Conference on Robotics and Automation (ICRA),
May 31, 2021
https://motionpredictionicra2021.gith...