Machine Learning: Prediction and Planning - Honda Research Institute USA

Machine Learning: Prediction and Planning

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Machine Learning: Prediction and Planning

Job Number: P24INT-18
​This project focuses on generative models for cooperative mobility. You will explore machine learning methods for traffic agent behavior prediction. The project involves research and development of state of the art interaction methods using current advancement in generative models.
Mountain View, CA

 

Key Responsibilities

 

  • Modeling Behavior Dynamics for predicting social agents
  • Build behavior modeling framework to understand and predict interactions between autonomous agents
  • Implement the algorithm and analyze it's performance and safety

 

Minimum Qualifications

 

  • M.S. candidate in robotics, computer science, electrical engineering, or related field
  • Research experience in prediction, planning, machine learning, and robotics
  • Excellent programming skills in C++ and Python

 

Bonus Qualifications

  • Ph.D. candidate in robotics, computer science, electrical engineering, or related field
  • Publication record of planning or prediction on robotic systems (e.g. ICML, NeurIPS, CoRL, RSS, CVPR, ICRA, IROS, etc. )
  • Experience with motion transformer models, diffusion models, UniTraj, MetaDrive, etc

 

Years of Work Experience Required  0
Desired Start Date 5/12/2025
Internship Duration 3 Months
Position Keywords Behavioral Dynamic Modeling, Social Autonomous Agents, Interaction Prediction 

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