机器人全栈算法实习生(Robotics Full-Stack Algorithm Engineer)
Tasks
- Build learning control models
- Collaborate with System Engineering teams
- Create robot data collection systems
- Design and implement control modules
- Design and implement perception modules
- Design and implement planning modules
- Develop end to end learning from perception to action
- Identify system performance bottlenecks
- Implement manipulation policy learning
- Implement reinforcement learning
- Implement state estimation
- Integrate and deploy algorithms in real world scenarios
- Propose and validate system improvement plans
- Run simulation and testing
Perks/Benefits
- N/A
Skills/Tech-stack
Behavior Cloning | C++ | Cloud processing | Computer Vision | Control | Dagger | Data collection | Diffusion Models | Diffusion Policy | Force control | Image Processing | Imitation Learning | Isaac Sim | Kalman Filter | MPC | Motion Planning | Mujoco | Multimodal fusion | PPO | Particle Filter | Point Cloud | Point Cloud Processing | Position control | PyBullet | Python | ROS | ROS2 | Reinforcement Learning | Robotics | SLAM | Sampling-based Planning | Sensor fusion | State Estimation | Trajectory Optimization | Velocity Control
Education
N/A
Regions
Countries
States
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