Controls and Robot Learning Engineer
Tasks
- Analyze system dynamics
- Apply imitation learning for dynamic systems
- Apply reinforcement learning for control algorithms
- Build robot state and control input propagation models
- Create models for onboard control
- Develop control laws for base vehicle and automated arms
- Evaluate autonomous system performance
- Implement model predictive control
- Perform system identification and modeling
- Simulate complex construction robot dynamics
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computed Torque | Control Systems | Direct Kinematics | Embedded Systems | Hydraulic systems | Imitation Learning | Impedance control | Inverse kinematics | Linear control | MPC | Model Predictive | Model-Predictive Control | Nonlinear Control | Optimization | Pose Estimation | Predictive control | Python | Real Time | Real-time Systems | Reinforcement Learning | Robot Kinematics | Rust | System Identification | Time Systems | Vehicle dynamics
Education
Regions
Countries
States
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