3 accepted papers
Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires an agent to follow language instructions to reach a target in unseen, 3D environments. A powerful VLN-CE agent requires two crucial abilities during cross-modal planning: spatial reasoning to explore towards the target locat
Guiding visually impaired individuals (VI) walking along planned paths is essential for enabling independent long-distance mobility. Current reactive approaches only correct deviations after they occur. These methods ignore VI's walking dynamics (e.g., reaction latency and heading drift), resulting
"The recent technique of Model-Based Reinforcement Learning learns to make decisions by building a world model about the dynamics of the environment. The world model learning requires extensive interactions with the real environment. Therefore, several innovative approaches such as APV proposed to u…