Multi-robot navigation is the task of finding trajectories for a team of...
The hierarchy of global and local planners is one of the most commonly
u...
We propose a novel method for joint estimation of shape and pose of rigi...
We introduce an on-ground Pedestrian World Model, a computational model ...
Multi-agent path planning (MAPP) is the problem of planning collision-fr...
We introduce a novel learning-based method for view birdification, the t...
Multi-agent path planning (MAPP) in continuous spaces is a challenging
p...
We introduce view birdification, the problem of recovering ground-plane
...
We present Neural A*, a novel data-driven search algorithm for path plan...
This work presents a deep reinforcement learning framework for interacti...
Forecasting human activities observed in videos is a long-standing chall...