Robotics Intern, Human-Machine Interaction Research
Toyota Research Institute Los Altos, CA, US 12 weeks
What they're looking for
- 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.
The full posting
Published by Toyota Research Institute. Original posting (opens in a new tab)
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!
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.
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