Recent years have seen significant progress in the realm of robot autono...
One of the outstanding challenges for the widespread deployment of robot...
We present a multi-agent decision-making framework for the emergent
coor...
The ability to accurately predict the opponent's behavior is central to ...
Predictive models are effective in reasoning about human motion, a cruci...
Jointly achieving safety and efficiency in human-robot interaction (HRI)...
Real-time, guaranteed safe trajectory planning is vital for navigation i...
Motivated by the lack of systematic tools to obtain safe control laws fo...
There has been an increasing interest in using neural networks in closed...
Inspired by the success of imitation and inverse reinforcement learning ...