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Causal Learning for Autonomous Robots
The RoCAL (Robotic Collaboration and Autonomy Lab.) is a research group founded and led by Prof. Yangming Lee at Rochester Institute of Technology.
RoCAL endeavors to improve the performance and reliability of robotic collaborative environmental perception, motion planning, and robot learning, through probabilistic methods, graphical models, and causal learning techniques. According to Computer Science Rankings, RIT ranks 59th in computer science, and Yangming Lee ranks No. 1 in robotics and No. 4 university-wide researcher at RIT.
Announcements
- RoCAL has openings for 2 fully funded Ph.D. students, 8 undergraduate students, and visiting students/scholars
- 2 Ph.D. students and 2 Undergraduate openings for the NIH project # 1R01DE036983 "SCH: INT: Deep Causal Learning for Diagnosis of Chronic Headache and Facial Pain" in the field of deep causal learning.
- 4 Undergraduate openings for the NIH project # 1R15EB034519 "Improving Image-Guided Surgery Precision and Reliability with Real-time Modification Tracking in Endoscopic Sinus and Skull Base Surgery" in the field of 3D visual reconstruction and deep causal learning.
- 2 Undergraduate openings for the NSF project # 2346790 "ERI: Exploring Visual-Haptic Synergy in Fragile Object Manipulation" in the field of robotic perception and deep causal learning.
- Recruitment for Fall 2025 has concluded; there will be no recruitment for Spring.
- We do NOT have the budget for MS students and can only accommodate MS students for independent study, milestone projects, or equivalent.
- We do NOT have openings for TA or graders.
- For application, please email your CV and cover letter to yangming.lee at rit.edu, specifying the type of position and the project you are interested in.
Team Members
(publish under name Yangming Li and Yangming Lee)
Director
RoCAL
Assistant Professor
Department of Electrical and Computer Engineering Technology
Department BioMedical Engineering (by Courtesy)
Golisano College of Computing and Information Sciences Ph.D. Program (by Courtesy)
Center for Imaging Science (by Courtesy)
