- Queenstown Central Region (Singapore) Singapore
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
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.
Peringatan Penting
Jangan pernah kongsikan maklumat bank atau kad kredit anda semasa memohon pekerjaan. Elakkan membuat sebarang pembayaran atau mengisi survey yang tidak berkaitan. Jika ada yang mencurigakan, sila laporkan iklan pekerjaan ini segera.