Imperative learning: A self-supervised neural-symbolic learning framework for robot autonomy

C Wang, K Ji, J Geng, Z Ren, T Fu, F Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Data-driven methods such as reinforcement and imitation learning have achieved
remarkable success in robot autonomy. However, their data-centric nature still hinders them …

iWalker: Imperative Visual Planning for Walking Humanoid Robot

X Lin, Y Huang, T Fu, X **ong, C Wang - arxiv preprint arxiv:2409.18361, 2024 - arxiv.org
Humanoid robots, with the potential to perform a broad range of tasks in environments
designed for humans, have been deemed crucial for the basis of general AI agents. When …

iKap: Kinematics-aware Planning with Imperative Learning

Q Li, Z Chen, H Zheng, H He, S Su, J Geng… - arxiv preprint arxiv …, 2024 - arxiv.org
Trajectory planning in robotics aims to generate collision-free pose sequences that can be
reliably executed. Recently, vision-to-planning systems have garnered increasing attention …