Postdoctoral Scientist: Intention Estimation for Robotic Teleoperation - Honda Research Institute USA

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Honda Research Institute USA (HRI-US) is at the cutting edge of Honda's research and development activities. Inspired by Honda's global slogan - The Power of Dreams - we pursue emerging technologies and bring them into reality to make people happy, even as we are engaged daily in highly scientific, pioneering work. We realize that dreams don't co me from organizations, systems, or money. They come from people, and we seek people who have such challenging spirits to work with us.

Postdoctoral Scientist: Intention Estimation for Robotic Teleoperation

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Postdoctoral Scientist: Intention Estimation for Robotic Teleoperation

Job Number: P22T12
​Honda Research Institute USA (HRI-US) in San Jose, California, is seeking a postdoctoral scientist to work on intention estimation and assistance for achieving dexterous robotic teleoperation. The focus of the research is to develop machine learning algorithms to estimate the operator's intention and implement them to verify and enhance the robotic teleoperation system for operator assistance.
San Jose, CA
Key Responsibilities

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  • Develop modeling and inference algorithms for human intention estimation, and behavior generation algorithms for robotic teleoperation both in simulation and on hardware
  • Develop software infrastructure and tools on test scenarios, baseline algorithms, module interfaces, etc. to facilitate the team's development efforts
  • Collaborate with local and international researchers and engineers within and outside the company
  • Design and implement experiments and human-involved studies for evaluating the intention estimation and assistance
  • Compile written and oral reports for executives within the company
  • File patents on developed technologies
  • Publish research results at top-tier conferences and journals in robotics as well as machine learning

 
Minimum Qualifications

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  • Ph.D. in computer science, robotics, or a related field
  • Experience in deep learning and other machine learning methods and algorithms
  • Proficiency in robot manipulation, planning, and motion control
  • Strong programming skills in C++ and/or Python
  • Familiarity with robot hardware and experience using ROS (Robot Operating System)
  • Strong written and oral communication skills

 
Bonus Qualifications

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  • Experience in robotic teleoperation and collaborative robotic development
  • Experience in human action and task recognition using multimodal data
  • Proficiency in computer vision and deep learning with PyTorch or TensorFlow
  • Research experience with Deep Learning and Foundational Models.
  • Experience in evaluation metrics and familiarity with common frameworks and methodologies utilized in building LLM (Large Language Model), LVM (Large Vision Model) and LMM (Large Multimodal Model) applications.
  • Publications in robotics application of LLMs and related technologies.
  • Familiarity with probabilistic programming tools such as Pyro and Chi-Rho
  • Familiarity with either causal inference or probabilistic/Bayesian machine learning

 
Years of Work Experience Required 4 years of graduate study
Position Keywords

intention estimation, ​robotic teleoperation, action/task recognition, 

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