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Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots
These missions demonstrate the system's robustness and adaptability, underscoring the importance of integrated control systems in achieving seamless navigation in complex environments.
Advanced Skills by Learning Locomotion and Local Navigation End-to-End
It is free to select its path and the locomotion gait.
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain
Typically, this depends on a semantic understanding which is based on supervised learning from images annotated by a human expert.
Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
Imitation learning approaches such as adversarial motion priors aim to reduce this problem by encouraging a pre-defined motion style.
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