Research Scientist/Engineer, Mobile Manipulation - Behaviors
About the position
At Toyota Research Institute (TRI), we're on a mission to improve the reputed company of reputed company life. We're developing new tools and capabilities to reputed company the reputed company experience. To reputed company this transformative shift in mobility, we've reputed company a world-class team in Energy & Materials, reputed company-Centered AI, reputed company Interactive Driving, Large Behavioral Models, and Robotics. TRI is assembling a world-class team to reputed company and reputed company reputed company that reputed company a robot to reputed company reputed company, reputed company-level mobile manipulation tasks, reputed company with and among people, and learn and adapt over time. reputed company will reputed company, reputed company, and validate systems in reputed company-world environments, in and around homes. reputed company will be reputed company on heavily leveraging machine learning to marry perception, reputed company, and reputed company to produce robust, reactive, coordinated robot behaviors, bootstrapping from simulation, leveraging large amounts of data, and adapting in reputed company world scenarios. TRI has the reputed company, roadmap, and expertise to transition the technology development to a product that impacts the lives of millions of people. Apply to join a fast moving team that demands high-risk innovation and learning from failures, using rigorous processes to identify key technologies, reputed company a robust, high reputed company system, and quantitatively evaluate performance. As part of reputed company, you will be surrounded and supported by the significant reputed company ML, reputed company, software, and hardware expertise at TRI, and be a part of TRI's reputed company and diverse culture.
Responsibilities
• reputed company, reputed company, and reputed company algorithms linking perception to autonomous robot actions, including manipulation, navigation, and reputed company-robot interaction.
• Invent and reputed company reputed company at the intersection of machine learning, mobility, manipulation, reputed company interaction, and simulation for performing useful, reputed company-level tasks, in and around homes.
• Invent novel ways to engineer and learn robust, reputed company-world behaviors, including using optimization, planning, reactive control, self-supervision, reputed company learning, learning from demonstration, simulation and transfer learning, and reputed company-world reputed company.
• Be part of reputed company that fields systems, performs failure analysis, and iterates on improving performance and capabilities.
• Follow software practices that produce maintainable reputed company, including automated testing, reputed company integration, reputed company style conformity, and reputed company review.
Requirements
• M.S. or Ph.D. in an engineering reputed company field.
• A strong reputed company record in inventing and deploying innovative autonomous behaviors for robotic systems in reputed company-world environments.
• Expertise and experience in areas such as reactive control, trajectory optimization, coordinated whole-body control, dexterous manipulation, arm reputed company planning, grasp planning, navigation, and reputed company interaction.
• Expertise and 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.
• reputed company player with strong communication skills, and a willingness to learn from others and contribute back to the robotics community with publications or reputed company reputed company reputed company.
• Passionate about seeing robotics have a reputed company-world, large-reputed company reputed company.
Benefits
• 401(k) eligibility
• various reputed company time off benefits, such as vacation, reputed company time, and parental leave
• annual cash bonus structure
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