As robots become increasingly capable of manipulation and long-term auto...
The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at...
Learning dynamics models accurately is an important goal for Model-Based...
Classical autonomous navigation systems can control robots in a
collisio...
This paper presents a self-supervised Learning from Learned Hallucinatio...
While current autonomous navigation systems allow robots to successfully...
We propose a vision-based reinforcement learning (RL) approach for
close...
While classical autonomous navigation systems can typically move robots ...
Classical navigation systems typically operate using a fixed set of
hand...
Recent advancements in Learning from Human Feedback present an
effective...
In reinforcement learning (RL), sparse rewards are a natural way to spec...
A body of recent work has focused on constructing a variational family o...