Result description
In this work, we propose novel algorithms to deal with the problem of the motion coordination and task planning for multirobot systems under complex high-level missions and human input. The proposed algorithms allow for a human to influence the behaviour of the multi-robot system through task assignment and direct dynamic interaction. In addition, reinforcement learning is implemented to allow the robot to learn the human intention. The obtained results can be applied in settings where there is a direct interaction with robots and human, e.g., service robots.
Addressing target audiences and expressing needs
Our needs are
- Collaboration
Target audiences
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
Result Maturity
3 – R&D Technology Development (TRL 3-5) See the diagram
Result submitted to Horizon Results Platform by KUNGLIGA TEKNISKA HOEGSKOLAN
