Robotics Researcher, Manipulation
Singapore, Singapore, Singapore
SGD 60K-108K (estimate) Mid-level Full Time
Tasks
- Build grasp planning and contact rich control pipelines
- Contribute to open-source releases
- Design data collection and teleoperation infrastructure
- Develop manipulation policies for dexterous task execution
- Diagnose failure modes on hardware and improve
- Integrate manipulation with perception and autonomy pipeline
- Train manipulation policies with imitation learning and reinforcement learning
Perks/Benefits
Skills/Tech-stack
C plus plus | Contact Rich Control | Control Theory | Data collection | DeepLearning | Grasp Planning | Imitation Learning | JAX | Motion Planning | PyTorch | Python | Reinforcement Learning | Robotics | Teleoperation
Education
N/A
Roles
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