Robotics: Machine Learning for Navigation
Robotics: Machine Learning for Navigation (Job Number: P18INT-08)
Silicon Valley

This internship position focuses on formulating and developing algorithms, and running experiments to advance research in the area of robotics navigation in human environments. The candidate is expected to work on one or more of the following topics:

  • Design and implementation of generative models of crowd behavior (common examples might include LSTMs, GANs, stochastic processes, or RL) for robot navigation in human environments
  • Develop and implement robot navigation software on various experimental platforms
  • Participate in field studies of robot navigation in human crowds

 

Qualifications:

  • Ph.D. candidate in computer science, electrical engineering, or related field
  • Experience in human robot interaction, machine learning, and decision making under uncertainty
  • Experience with robots in real environments using Robot Operating System (ROS), C++, or Python