About the role
Develop and implement embodied AI algorithms and safety-aware control for human‑robot collaboration, integrate perception and motion planning modules, and conduct experiments to evaluate system safety and performance in industrial robotics environments.
ResearchOnsite
Key Responsibilities
- Develop and implement Embodied AI algorithms for safe and anticipatory human‑robot collaboration
- Implement safety‑aware control and motion planning strategies for close‑proximity human‑robot interaction
- Integrate perception, learning, and control modules into robotic systems for real‑world testing and validation
- Leverage computer vision to improve robot perception and object recognition capabilities where applicable
- Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments
- Continuously research and implement state‑of‑the‑art algorithms and methodologies to improve robot performance and efficiency
Requirements
- Bachelor's degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field
- Strong foundation in robotics, AI, or control systems
- Experience or knowledge in Embodied AI and robot learning, safety‑aware motion planning and control, proximity sensing and dynamic obstacle avoidance, or multimodal perception
- Proficiency in programming languages such as Python, C++, or Matlab
- Experience in software development, including version control and debugging techniques
- Experience in industrial or manufacturing robotics environments