3 accepted papers
Zero-shot object navigation is a challenging task for home-assistance robots. This task emphasizes visual grounding, commonsense inference and locomotion abilities, where the first two are inherent in foundation models. But for the locomotion part, most works still depend on map-based planning appro…
Multi-task learning is an important problem in reinforcement learning. Training multiple tasks together brings benefits from the shared useful information across different tasks and often achieves higher performance compared to single-task learning. However, it remains unclear how parameters in the
Recently, learning-based approaches show promising results in navigation tasks. However, the poor generalization capability and the simulation-reality gap prevent a wide range of applications. We consider the problem of improving the generalization of mobile robots and achieving sim-to-real transfer…