Effective use of camera-based vision systems is essential for robust
per...
In this paper, we focus on the problem of integrating Energy-based Model...
Efficient and reliable generation of global path plans are necessary for...
Many Imitation and Reinforcement Learning approaches rely on the availab...
Model predictive control (MPC) schemes have a proven track record for
de...
Decision making under uncertainty is critical to real-world, autonomous
...
To perform complex tasks, robots must be able to interact with and manip...
We consider the problems of learning forward models that map state to
hi...