Weakly-Supervised Learning for Multimodal Human Activity Recognition in Human-Robot Collaboration Scenarios
Clemens Pohlt,Thomas Schlegl,Sven Wachsmuth,Clemens Pohlt,Thomas Schlegl,Sven Wachsmuth
The ability to synchronize expectations among human-robot teams and understand discrepancies between expectations and reality is essential for human-robot collaboration scenarios. To ensure this, human activities and intentions must be interpreted quickly and reliably by the robot using various modalities. In this paper we propose a multimodal recognition system designed to detect physical interac...
