Motion Planning/Decision Making
Motion Planning/Decision Making (Job Number: P18INT-05)
Silicon Valley

This title includes multiple positions which focus on developing algorithms to advance research in motion planning and decision making. The candidate is expected to work on one of the following topics:

  • Person following for non-holonomic vehicles on rugged terrain
  • Design an algorithm that allows a robot to plan in uncertain environments
  • Adaptive speed control to generate safe maneuvers to handle merging scenarios in dense traffic
  • Adaptive steering control to handle merging scenarios in sparse traffic

 

Qualifications:

  • Ph.D. /M.S. candidate in computer science, electrical engineering, or related field
  • Strong familiarity and research experience in some or more of the following: path planning, re-planning, anytime planning, SLAM, active learning, reinforcement learning, bandit problems
  • Experience in open-source deep learning frameworks such as TensorFlow or PyTorch preferred
  • Excellent programming skills in Python or C++