Master Thesis

Simultaneous Multi-Agent Schedduling and Motion Planning for Human-Robot Teams

Work default illustration

Supervisor/s

Information

  • If you are interested in the proposal, please contact with the supervisors.

Description

The aim of this thesis is to implement a multi-agent planner to perform simultaneous scheduling and motion planning over space and time-constrained human-robot team tasks. In particular, the student is expected to develop a Monte-Carlo Tree Search (MCTS) or PRMs to improve over some of the shortcomings of the current RRT approach.

The work is under the scope of the following projects:

  • SOCIAL PIA: Cooperative Social PIA model for Cybernetics Avatars (Moonshot Research and Development Program) (web)