Multi-Agent Task and Motion Planning - Honda Research Institute USA

Intern Positions

Currently, HRI-US is offering research and engineering internships to highly qualified and motivated students.  Research interns will work closely with HRI scientists and are encouraged to publish results in academic forums.   For research internship positions, we are looking for candidates with a good publication record and excellent programming skills to join our team. The positions currently listed are for the Spring/Summer 2024.

Multi-Agent Task and Motion Planning

Your application is being processed

Multi-Agent Task and Motion Planning

Job Number: P23INT-21
We are seeking a highly motivated and innovative research intern to join our team and help us shape the future of robotics and artificial intelligence. The ideal candidate should possess a strong background in robotics, artificial intelligence, or a related field, with expertise in multi-agent RL, Social Navigation, Robot motion-planning, Game Theory and Model Predictive Control. Excellent problem-solving skills, a passion for innovation, and the ability to work effectively both independently and as part of a team are essential for success in this role.
Ann Arbor, MI
Duration 3 Months
Position Introduction

​We are seeking a highly motivated and innovative research intern to join our team and help us shape the future of robotics and artificial intelligence. The ideal candidate should possess a strong background in robotics, artificial intelligence, or a related field, with expertise in multi-agent RL, Social Navigation, Robot motion-planning, Game Theory and Model Predictive Control. Excellent problem-solving skills, a passion for innovation, and the ability to work effectively both independently and as part of a team are essential for success in this role.
Key Responsibilities

​During the time of the internship, you are expected to:

• Explore and develop novel techniques in motion planning using expertise in reinforcement learning, game theory etc. with the focus on multi-agent robotic set ups in the field of social navigation.

• Implement these algorithms in a simulation environment and test against state-of-the-art baselines.

• Publish your research findings in top-tier conferences and journals.

 
Minimum Qualifications

​

•     M.S./Ph.D. candidate in computer science, mechanical engineering, electrical engineering, or similar fields.

•     Proven experience in research and in developing algorithms for autonomous robot motion planning and task planning.

•     In-depth knowledge and practical experience in game theory, RL and Multi-agent RL.

•     Excellent programming skills in Python, C++.

•     Experience in modeling and simulating multi-agent systems using ROS or similar frameworks.

 
Bonus Qualifications

​•  Experience of working on the projects at the intersection of learning and control for multi-agent systems

•  Experience of working on the projects related to cooperative navigation.

•  Experience of working on the projects in the MARL setup

 

 
Years of Work Experience Required:   2-5 years
Position Keywords

Multi-Agent RL, Social Navigation, Distributed decision making, Multi robot systems, Task Planning, MPC.

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)

Please, do not contact our office to inquiry about your application status.