About CLeAR

Collaborative, Learning, and Adaptive Robots Lab at NUS

At CLeAR, we seek to improve people’s lives through intelligent robotics. We advance the science and engineering of collaborative robots that fluently interact with us to perform tasks. Our central focus has been on developing physical and social skills for robots. For the former, we’re working on new tactile perception and control methods for robots. In the latter, we’re developing better human trust models and social-projection-based communication.

A final third research thread is dedicated towards machine-learning research, particularly in robot learning and generative ML/AI. For example, we have devised novel methods for regularizing deep networks with symbolic knowledge, which we later showed improved robot imitation learning for a cooking task. Our work on sample refinement using gradient flows provides us a way to meld physical and social skills for tasks such as semantic grasping. These methods not only contribute to the wider machine-learning literature, but form a unique suite of methods CLeAR uses to advance the state-of-the-art on trustworthy collaborative robots.

Join CLeAR

If all this sounds interesting to you, join us:

Postdoctoral Research Fellows and Research Assistants

Send Harold an email with your CV and a brief cover letter describing your research interests.

PhD Candidates

If you are not yet a PhD candidate at the Dept of Computer Science, School of Computing, NUS, please apply first. PhD admissions are determined by committee and not by individual professors.

Undergrad Students and Interns

If you’re a NUS graduate student in CS, send us an email indicating your research interests along with a CV. Have a look at our open projects or you can propose a topic.

If you’re a NUS undergraduate student, email us and mention you’re interested in a FYP or UROP project. We sometimes hire NUS interns during term-time and summer break, but this depends on availability of projects and funds.

If you’re not a NUS student, then please apply to the NUS School of Computing or the Data Science Institute IDS Scholarship , or NUS Graduate School ISEP Programme ISEP Scholarship. We are typically unable to work with you unless you’re a NUS student or an official exchange student. Please note that admission decisions are made by the department so, we are not unable to guarantee you a place in the PhD/Masters program.

Note: If you’re not a NUS nor an exchange student, we are afraid we are unable to accommodate you at the moment. Please do not send emails asking for summer internships as we are unable to respond to each of them individually.