Vacancy expired!
- Develop multi-robot path planning and formation algorithms.
- Develop multi-vehicle coordination algorithms.
- Support research on reinforcement learning techniques for multi-agent coordination.
- Integrate algorithms into a scalable simulation environment.
- Integrate algorithms for real-world demonstrations.
- Support research and publication.
- Excellent programming skills in Pytorch and C.
- Research experience in machine learning, path planning, and robotics.
- Algorithmic knowledge of path planning and trajectory generation.
- M.S. in computer science, electrical engineering, mechanical engineering, or related field.
- Ph.D. in computer science, electrical engineering, mechanical engineering, or related field.
- An established record of publications in top conferences.
- Experience developing multi agents path planning or reinforcement learning algorithms.
- Experience in simulation of robotics and multi-agent systems in Unity or Unreal engines.
Vacancy expired!