面議(經常性薪資達4萬元或以上) 新竹縣竹東鎮 工作經歷不拘 今天剛更新
Develop AI gait control technologies for smart quadruped robots (robot dogs), covering motor control communication, simulation environment construction, and real-world field testing. Key responsibilities include:
1. Reinforcement Learning & Simulation Environment Construction:
- Construct high-fidelity simulation environments in NVIDIA Omniverse / Isaac Sim based on project requirements.
- Apply Reinforcement Learning (RL) or Knowledge Distillation techniques to train gait and motion strategies for quadruped robots.
- Responsible for Sim2Real verification to ensure successful transfer from simulation to reality.
2. Hardware Control & System Integration:
- Responsible for motor control communication development and testing, including protocol implementation (e.g., CAN, EtherCAT, RS-485) and driver development.
- Perform system integration for physical robots based on the ROS2 architecture, ensuring real-time communication between low-level drivers and high-level decision modules.
- Execute functional verification and performance tuning of the robot in real-world environments.
3. Swarm Intelligence & Multi-Robot Collaboration:
- Research multi-robot collaboration mechanisms.
- Develop formation control and collaborative algorithms for swarms of quadruped robots.
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