Postdoctoral Research Scientist: Robotics and Control Systems

Actively Hiring

Full-time Posted 6 months ago

Responsibilities

check_circle Research, ideate, and implement novel and robust model- and learning-based robot behaviors and interaction control algorithms, enabling contact-rich manipulation in various real-world application domains including dexterous object manipulation.
check_circle Research, ideate, and implement robot reasoning algorithms for understanding and predicting failure, recoverying from failure, and learning successful task strategies through adaptive intelligence that can enable generalizability to new scenarios.
check_circle Develop and implement simulation environments for data collection.
check_circle Validate dexterous robot behavior algorithms through comprehensive data analysis and successful demonstrations on hardware.
check_circle Deliver results in accordance with the project timelines.
check_circle Assist with compiling written and oral reports for executives within the company and performing demos.
check_circle Contribute to the portfolio of patents, academic publications, and prototypes to demonstrate research value.
check_circle Collaborate with our teams of scientists and engineers in Honda's regional and global R&D offices, as well as with our partners in academia and industry.
check_circle Assist with supervising interns.

Ph.D. in mechanical engineering, robotics, electrical engineering, computer science, or a related field.
Expert knowledge on fundamentals of robotics. e.g. robot kinematics and dynamics, control systems, force control, haptics.
Expert Knowledge on learning-based methods such as reinforcement learning, generative models and inference models.
Extensive hands-on experience on development and successful implementation of planning, control and recovery algorithms for contact-rich manipulation in real-world.
Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
Familiarity with large models including VLMs, LLMs, and multi-modal foundation models.
Strong track record of publishing in top robotics venues (e.g T-RO, RA-L, T-M, ICRA, IROS, RSS, CoRL, …)
Solid programming skills in C++ or Python and strong familiarity with ROS.
Self-motivated to advance the project and deliver on-time.
Strong written and oral communication skills including development and delivery of presentations, papers, and technical documents.

Strong familiarity with both model and learning-based approaches for manipulation.
Extensive experience with algorithm and software development (and debugging) for complex robotic systems involving design, implementation and integration of multiple planners, controllers, and perception systems.
Research experience and expertise in planning and control for dexterous manipulation with tactile robotic multi-fingered hands.

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