With the increasing prevalence of robots in daily life, it is crucial to...
Emergence of massive dynamic objects will diversify spatial structures w...
Dynamic state representation learning is an important task in robot lear...
Navigation in dense crowds is a well-known open problem in robotics with...
COVID-19 pandemic has become a global challenge faced by people all over...
We explore how to enable machines to model 3D shapes like human modelers...
Deep reinforcement learning has great potential to acquire complex, adap...
We present a novel algorithm (DeepMNavigate) for global multi-agent
navi...
Combining deep neural networks with reinforcement learning has shown gre...
We aim to enable a mobile robot to navigate through environments with de...
In this paper, we present a robotic navigation algorithm with natural
la...
In this paper, we present a decentralized sensor-level collision avoidan...
Navigation is an essential capability for mobile robots. In this paper, ...
Developing a safe and efficient collision avoidance policy for multiple
...