User-Preference Based Robot Navigation - Honda Research Institute USA

User-Preference Based Robot Navigation

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User-Preference Based Robot Navigation

Job Number: P24INT-16
This project focuses on user-preference based robot navigation (decision-making, motion planning, and trajectory generation). The task will incorporate deciding on a robot's future course of action in accordance with a user's preference in specific scenarios. Specifically, a baseline navigation policy will either be learned offline or rigorously developed, followed by an adaptation of it based on user's preference (for instance, by online hyperparameter tuning). This project will entail utilizing concepts from the areas of probabilistic modeling, optimization, planning, machine learning, and robotics to develop algorithms that are real-world deployable.
Mountain View, CA

 

Key Responsibilities

 
  • Model a user's driving style using probabilistic or learning-based methods
  • Devise real-time implementable motion planning strategies that can be adapted to a user's driving style and preference
  • Test the developed algorithms' performance in simulations as well as on real-world data
  • Publish findings in a top-tier conference or journal

 

Minimum Qualifications

 
  • M.S. candidate in robotics, computer science, electrical engineering, or related field
  • Research experience in decision-making, motion planning, and robotics
  • Excellent programming skills in Python and/or C++
  • Experience with ROS (Robot Operating System)

 

Bonus Qualifications

  • Ph.D. candidate in robotics, computer science, electrical engineering, or related field
  • Publication record in the areas of decision-making and motion planning on robotic systems

 

Years of Work Experience Required  0
Desired Start Date 5/12/2025
Internship Duration 4 Months
Position Keywords Decision-making, Motion Planning, Trajectory Generation

 

 
 

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