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Imperative learning: A self-supervised neural-symbolic learning framework for robot autonomy
Data-driven methods such as reinforcement and imitation learning have achieved
remarkable success in robot autonomy. However, their data-centric nature still hinders them …
remarkable success in robot autonomy. However, their data-centric nature still hinders them …
iWalker: Imperative Visual Planning for Walking Humanoid Robot
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 …
designed for humans, have been deemed crucial for the basis of general AI agents. When …
iKap: Kinematics-aware Planning with Imperative Learning
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 …
reliably executed. Recently, vision-to-planning systems have garnered increasing attention …