- Robotic platforms such as humanoids, magnetically-levitated robots, and vertical takeoff and landing (VTOL) unmanned aerial vehicles (UAVs) pose unique and open control challenges, requiring integrated learning and adaptive strategies, precise path following and coordinated control to reliably execute desired actions.
- Heterogeneous teams, particularly those with a variety of complementary capabilities and the inclusion of human team members, require complex planning methods to optimize the deployment of robots and to meet unified system-level goals.
- Major advances in perception are needed to free typical robotic applications from the confines of known, safe environments, and to better understand both robot and human motion in real-time.
- As the complexity of multi-robot systems expands, effective human-robot interaction must be thoroughly explored, to maximize information transfer and better align operator intent with autonomous robot operation.
Answers to questions about the robustness and interoperability of multiple robots within these research themes can only be properly explored with the advanced facilities operated by the RoboHub.
This facility can faithfully recreate real-world scenarios for multiple robots, which is essential if the existing theoretical algorithms for multi-robot systems are to be rigorously implemented, tested, improved, and commercialized.
For more information, choose which of the four RoboHub research themes you would like to know more about: