- Queenstown Central Region (Singapore) Singapore
Working Location
Job Description
Responsibilities
The research project focuses on developing real2sim2real learning and control methodologies for acquiring robust dexterous manipulation skills in complex, content-rich environments.
The research engineer is expected to contribute to the following key aspects:
a) Design simulation-based skill learning and optimization methods for contact-rich dexterous manipulation, integrating differentiable simulation, trajectory optimization, reinforcement learning, and/or imitation learning to efficiently acquire transferable manipulation policies under complex physical constraints and diverse task conditions.
b) Develop sim-to-real adaptation and closed-loop skill refinement approaches that leverage multimodal sensory feedback, including vision, tactile, and proprioceptive information, to bridge the simulation-to-reality gap and continuously improve manipulation performance in the real world.
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