Web- learning models of robots, tasks or environments - learning deep hierarchies or levels of representations, from sensor and motor representations to task abstractions - learning of plans and control policies by imitation and reinforcement learning - integrating learning with control architectures WebApr 15, 2024 · Robot-assisted rehabilitation has been a promising solution to improve motor learning of neurologically impaired patients. State-of-the-art control strategies are typically limited to the ignorance of heterogeneous motor capabilities of poststroke patients and therefore intervene suboptimally. In this article, we propose a control framework for robot …
Giving High School Students More Control Over Their Learning
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Learning Robot Control - MIT Media Lab
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