Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement Learning
Full-sized humanoid robot capabilities have grown exponentially in recent years, aiming towards general-purpose deployment in human environments. A popular control method used by manufacturers utilizes Virtual Reality for upper-body teleoperation and Reinforcement Learning for lower-body balance and locomotion control. As a result, a single remote operator can see, manipulate, and navigate about a real, distant physical environment. This powerful control stack is often relegated to expensive full-sized robots, many of which are inaccessible to the research community. Miniature humanoids are mo
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- PossiblePossibly related (embedding) · 62%UK startup Humanoid launches reinforcement learning system to improve robot manipulation - Robotics & Automation News →
- PossiblePossibly related (embedding) · 50%Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity - The Robot Report →
- PossiblePossibly related (embedding) · 48%Researchers Create Faster, Cheaper Way to Teach a Humanoid Robot to Walk Over Real-World Terrain - Georgia Institute of Technology →
- FuzzySimilar title/name (fuzzy) · 59%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.73): “Towards Miniature Humanoid Tele-Loco-Manipulation Using Virt” ≈ “aymericdamien/TopDeepLearning””
- LinkedLinked via arxiv author · 85%Nicolas Kosanovic →
“Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement Learning”
- LinkedLinked via arxiv author · 85%Jordan Dowdy →
“Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement Learning”
- LinkedLinked via arxiv author · 85%Jean Chagas Vaz →
“Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement Learning”