Machine Learning: Behavior Planning and Prediction - Honda Research Institute USA

Machine Learning: Behavior Planning and Prediction

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Machine Learning: Behavior Planning and Prediction

Job Number: P23INT-50
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.
San Jose, 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

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Minimum Qualifications

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

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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 etc. )
  • Experience with motion transformer models, diffusion models, UniTraj, etc

 

Desired Start Date 01/06/2025 

 

Duration

 

3 Months

 

Alternate Way to Apply

Send an e-mail to careers@honda-ri.com with the following:
- Subject line including the job number(s) you are applying for 
- Recent CV 
- A cover letter highlighting relevant background (Optional)

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