Senior Staff/ Principal Research Scientist – Dexterous Manipulation
XPENG, Shenzhen, China
What you will do
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Design, implement, and deploy advanced manipulation algorithms for humanoid robot dexterous hands, spanning teleoperation, force control, and reinforcement learning.
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Develop and maintain high-fidelity simulation environments for robot kinematics, dynamics, sensor emulation, and physical interaction.
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Research and innovate on state-of-the-art reinforcement learning algorithms to solve complex robotic manipulation tasks.
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Diagnose and tackle core technical challenges that arise during specific robot task execution.
What you need
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M.S. or Ph.D. in Robotics, Computer Science, Artificial Intelligence, or a related field.
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Strong foundation in robot dynamics, kinematics, and optimal control, with excellent mathematical skills.
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