Humanola
Learning Adaptive Neural Teleoperation for Humanoid Robots: From Inverse Kinematics to End-to-End Control
Humanola founder Sanjar Atamuradov published an open research paper on arXiv proposing a learning-based neural teleoperation framework that replaces the conventional inverse-kinematics plus PD-controller pipeline with reinforcement-learning policies mapping VR controller inputs directly to robot joint commands.
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