At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
The Mission
Our team works to understand how people interact with intelligent systems and develops human-machine interfaces that enable individuals to work seamlessly with AI, particularly in physically interactive settings. We aim to create technologies that enhance human capability and allow humans and AI to operate in harmony across a wide range of real-world contexts.
The Team
In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and task performance of people using human-centered artificial intelligence.
The Internship
As a summer research intern, you will develop and evaluate interactions with quadruped robots. Responsibilities include prototyping integrated systems, collecting and analyzing human participant data, building models of interaction logic, conducting user studies to evaluate system effectiveness in the tasks, developing robot policies that adapt to people, and deploying and evaluating these approaches on robot hardware.
Responsibilities
Integrate and prototype interactions of quadruped robots and humans to study teamwork and collaboration.
Develop, train, and evaluate learning-based models for human behavior, robot decision-making, or adaptive human-robot interaction.
Integrate and deploy learned models and policies on physical robots, evaluating their effectiveness, robustness, and real-time performance.
Design and run user studies to investigate mental model creation (Theory of Mind) and multimodal cueing during human-robot interaction.
Collaborate with a multidisciplinary team of research scientists and engineers across Toyota Research Institute.
Communicate findings through clear verbal presentations and well-structured written reports, including potential submissions to top international venues.
Qualifications
Currently pursuing a Ph.D. in Human-Computer Interaction, Computer Science, Mechanical Engineering, Cognitive Science, Robotics, Machine Learning or a related field.
Experience integrating hardware and software for real-time interactive robotic systems (e.g., Python, C++, ROS2).
Familiarity with human-robot interaction (HRI), data-driven behavioral modeling, machine learning, or studying collaborative teamwork dynamics.
Familiarity with experimental design and data collection involving human participants.
Ability to work independently, iterate quickly, and communicate results clearly.
