Job Description

This position involves working on a project related to the learning of locomotion and manipulation policies for legged robots, such as quadrupeds and hexapods. The objective of this position includes contributing to the model development, solution and implementation of bio-inspired locomotion and manipulation controllers on these platforms, first in simulation and then on hardware. The role involves the opportunity to work with the PI’s team within the National University of Singapore. The successful candidate will be self-motivated with an outstanding track record in robotics, control, computer science, or related disciplines. The main research tasks for the project include but will not be limited to:

•             Developing robust controllers for legged locomotion, pick-and-place motions, and mobile manipulation.

•             Designing and implementing controllers on hardware to obtain a laboratory-level prototype system.

Qualifications

•             Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)

•             Literature review/summarizing skills

•             Simulations abilities (e.g., IsaacGym/IsaacSim, Mujoco, Gazebo)

•             Experience with implementation of deep learning model on hardware (in particular, legged robots)

•             Experience publishing papers, and supervising undergraduate/master’s students

•             Good writing/spoken communication skills

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID : 27748