Vacancy expired!
- Research & develop multi-agent and multi-vehicle path planning and formation algorithms.
- Research & develop multi-vehicle coordination algorithms.
- Research reinforcement learning techniques for multi-agent coordination.
- Integrate algorithms into a scalable simulation environment.
- Integrate algorithms for real-world demonstrations.
- Start a research path that leads to publication.
- Cooperative intelligence, cooperative robotics and cooperative motion planning experience.
- 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 journals or conferences.
- Understanding of Motion Planning algorithms (LPA, DLite, Splines )
- 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!