Robotics Intern - Teleoperation and Spatial Computing at Toyota Research Institute

Cambridge, Massachusetts, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Robotics, Automotive ResearchIndustries

Requirements

Currently pursuing a degree (B.S., M.S.) 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

Responsibilities

Design, implement, and test systems that enable humans to intuitively control robots through immersive interfaces
Develop and refine VR/AR interfaces for robot control
Build tools for 3D scene reconstruction and robot state awareness (e.g., point clouds, collision detection, and singularity visualization)
Explore techniques for motion retargeting, body tracking, and hand pose estimation
Develop real-time software prototypes that integrate robot hardware, motion capture, haptics, and 3D graphics
Run user studies, contribute to open-source codebases and research publications, and demonstrate prototypes

Skills

Robotics

Teleoperation

Spatial Computing

Motion Capture

Haptics

3D Graphics

Real-time Software

Machine Learning

Perception

Controls

Simulation

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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