Robotics Software Engineer, Sensor-Based Control and Robot Learning
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The role
Develop and integrate advanced control strategies and ML policies within a real-time robot control stack.
Drive the deployment of visual servoing and force-control skills for dexterous, contact-rich assembly tasks.
Implement sensor fusion and time synchronization algorithms for multi-modal, sensor-based robot control.
Own the full experimentation cycle: run trials on industrial hardware and collect high-quality training data.
Propose and build modular components for kinematics, state estimation, and control stacks to improve robustness.
Analyze logs and telemetry to identify failure modes and influence the technical roadmap, while optimizing real-time performance of learned manipulation models.
Drive the deployment of visual servoing and force-control skills for dexterous, contact-rich assembly tasks.
Implement sensor fusion and time synchronization algorithms for multi-modal, sensor-based robot control.
Own the full experimentation cycle: run trials on industrial hardware and collect high-quality training data.
Propose and build modular components for kinematics, state estimation, and control stacks to improve robustness.
Analyze logs and telemetry to identify failure modes and influence the technical roadmap, while optimizing real-time performance of learned manipulation models.
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