Honda Research Institute USA
Machine Learning: Behavior Planning and Prediction
Job Description
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
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
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
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