Mentor Areas
The central focus of our research program is versatile robotic control through tight integration with visual perception and other general-purpose high-bandwidth sensing modalities such as touch. Through this, our aim is to enable robots to operate usefully in our homes, workplaces, and everyday lives.
This is an exciting research area that lies at the intersection of computer vision, machine learning, and robotic control. On the one hand, cameras and data-driven computer vision algorithms can recover actionable information useful to a large variety of robots across diverse environments. On the other hand, we believe that robotic action by itself can also help to address many of the challenges of computer vision, e.g., through collecting informative training data and evidence.
Description:
Projects will vary. Interested students should contact us to discuss possibilities.
Preferred Qualifications
Strong mathematical background or inclination. Important topics include: probability and statistics, linear algebra, and vector calculus.
Project Website
Learn more about the researcher and/or the project here. Perception, Action, & Learning Research Group
Details:
Preferred Student Year
Junior, Senior
Academic Term
Fall, Spring, Summer
I prefer to have students start during the above term(s).Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
No
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
No
Yes indicates that faculty are open to hiring work-study-eligible students.