About the role#
This is a 12-week internship focused on developing post-training methods for generalist robot policies. You will work on adapting these policies to new tasks, environments, and robotic systems to ensure they perform reliably in real-world settings. Our team explores research areas including reinforcement learning, imitation learning, world models, and sim-to-real transfer.
What you'll do#
- Create methods to adapt pretrained robot policies for new tasks and systems.
- Run experiments in simulation and on physical robotic hardware.
- Analyze data and present your findings in technical reports and research publications.
What you'll need#
- Current enrollment in a Ph.D. program for Computer Science, Machine Learning, Robotics, or a related field.
- Research experience in areas like robot learning, reinforcement learning, imitation learning, or generative modeling.
- Proficiency in Python and deep-learning frameworks like PyTorch.
- Ability to work well with engineers and researchers to communicate complex results.
- Interest in solving open research problems in large-scale machine learning for physical systems.
- Experience with foundation models, sim-to-real transfer, policy distillation, or learned world models is helpful.
- A record of or interest in publishing at major conferences such as CoRL, NeurIPS, ICLR, ICML, RSS, ICRA, or IROS.
- Please include a link to your Google Scholar profile and a full publication list with your application.
Location & details#
- Location: Los Altos, California.
- Modality: Hybrid.
- Term: Summer 2027.
- Commitment: Full-time.
About Toyota Research Institute
Toyota Research Institute is a research organization founded in 2016. Based in Los Altos, California, it operates as a subsidiary of Toyota. The company focuses on artificial intelligence, robotics, automated driving, and material sciences. Its staff of approximately 485 employees works to develop technology for vehicles and robots while researching new materials for batteries and fuel cells.
How to get in at Toyota Research Institute
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