Toyota Research Institute (TRI) is looking to develop and integrate innovative solutions for robots to perform complex, human-level mobile manipulation tasks, navigate with and among people, and learn and adapt over time, ultimately improving the quality of human life and transforming mobility.
Requirements
- Experience with inventing and deploying innovative autonomous behaviors for robotic systems in real-world environments.
- Experience in areas such as reactive control, trajectory optimization, coordinated whole-body control, dexterous manipulation, arm motion planning, grasp planning, navigation, and human interaction.
- Experience in applying machine learning to robotics, including areas such as reinforcement, imitation, and transfer learning.
- Strong software engineering skills, preferably in C++, and analysis and debugging of autonomous robotic systems.
Responsibilities
- Develop, integrate, and deploy algorithms linking perception to autonomous robot actions, including manipulation, navigation, and human-robot interaction.
- Invent and deploy innovative solutions at the intersection of machine learning, mobility, manipulation, human interaction, and simulation for performing useful, human-level tasks in human environments.
- Invent novel ways to engineer and learn robust, real-world behaviors, including using optimization, planning, reactive control, self-supervision, active learning, learning from demonstration, simulation and transfer learning, and real-world adaptation.
Other
- This is a summer 2026 paid 12-week internship opportunity.
- Please note that this internship will be an in-office role.
- A team player with strong communication skills and a willingness to learn from others.
- Passionate about seeing robotics have a real-world, large-scale impact.
- B.S. or M.S. in an engineering related field.
