Job Summary

• The role focuses on developing sophisticated control algorithms specifically for bipedal locomotion and manipulation tasks.
• Candidates will train Reinforcement Learning policies in simulation environments and deploy them onto physical hardware.
• The position requires conducting sim-to-real transfer studies and analyzing gait and kinematics telemetry data.

Matching Summary

Skills & Requirements

Key Requirements

• Strong background in Model Predictive Control
• Extensive robotic simulation environment experience
• Familiarity with modern RL frameworks

Work Rights