Toyota Research Institute logo

Toyota Research Institute

Cambridge, MACambridgeMA

Robotics Intern - Teleoperation and Spatial Computing

internshipHybrid$40 - $58
robotics
teleoperation
vr
ar
spatial computing

The Team

Our goal is to revolutionize the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently instructed, learned, and improved over time in diverse, real-world environments.

Our team has deep cross-functional expertise across simulation, perception, controls, and machine learning, and we measure our success in terms of fundamental capabilities development, as well as research impact via open-source software and publications. Our north star is fundamental technological advancement in building robots that can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Join us and let’s make general-purpose robots a reality.

We operate a fleet of robots, and robot-embodied teaching and deployment is a key part of our strategy. Some of our ongoing work is highlighted here. https://www.youtube.com/watch?v=DeLpnTgzJT4

The Internship

We are seeking a Robotics Intern passionate about teleoperation, VR/AR, and spatial computing to help advance TRI’s next-generation humanoid teleoperation platform. You will design, implement, and test systems that enable humans to intuitively control robots through immersive interfaces, contributing to TRI’s mission of extending human capability through robotics. Working closely with cross-functional teams in mechanical design, perception, controls, and UX, you’ll develop real-time software prototypes that integrate robot hardware, motion capture, haptics, and 3D graphics—creating intuitive experiences that blend spatial computing with advanced robotic capabilities.

Your work will involve developing and refining VR/AR interfaces for robot control, building tools for 3D scene reconstruction and robot state awareness (e.g., point clouds, collision detection, and singularity visualization), and exploring techniques for motion retargeting, body tracking, and hand pose estimation. You’ll also have opportunities to run user studies, contribute to open-source codebases and research publications, and demonstrate prototypes that push the boundaries of human–robot interaction.

Qualifications

  • Currently pursuing a degree in Robotics, Computer Science, Mechanical Engineering, or a related field.
  • Experience with Python, C++, or Swift for real-time or graphics programming, and familiarity with Git and UNIX/Linux systems
  • Familiarity with VR/AR/XR frameworks (Unity, Unreal, visionOS or equivalent) and spatial input systems.
  • Understanding of robot kinematics, motion capture, and teleoperation control principles.
  • Exposure to 3D perception and visualization (depth images, point clouds, or scene reconstruction).
  • Strong problem-solving and communication skills, with a willingness to collaborate and learn across disciplines.

Bonus Qualifications

  • Experience with motion retargeting for manipulation and locomotion control.
  • Familiarity with Apple development systems and frameworks, such as SwiftUI, RealityKit, ARKit, and Xcode.
  • Background in UX design for immersive or robotics systems.
  • Experience with ROS, Isaac Sim, or similar simulation tools.
  • Knowledge of tactile sensing, force feedback, or haptic interfaces.
  • Interest in evaluating system usability through human-subject studies.

The pay range for this position at the commencement of employment is expected to be between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.