Mentor Areas
Students will gain exposure to and experience with modern techniques in computational robotics, with a particular focus on enabling fast and dynamic motion. Specifically, depending on the project of interest, students will work on algorithms in control, machine learning, computer vision, numerical optimization. While some projects incorporate design or fabrication, virtually all will involve programming (Python or C++)
Description:
Our research centers on planning, control, modeling, machine learning, and formal analysis of robots as they interact with the world. Whether a robot is assisting within the home, or operating in a manufacturing plant, the fundamental promise of robotics requires touching and affecting a complex environment in a safe and controlled fashion. We are focused on developing computationally tractable algorithms which enable robots to operate both dynamically and safely as they quickly maneuver through and interact with their environments. Right now, we are particularly interested in understanding the interplay between the non-smooth dynamics of contact and algorithmic methods like machine learning and numerical optimization.
Preferred Qualifications
Coursework or other experience in some of the following provides a useful background for the lab:
- Controls, particularly in nonlinear and modern control
- Machine Learning
- Optimization
- Robotics
- Linear Algebra
- Programming, particularly C++ and/or Pytho
- Dynamics
Project Website
Learn more about the researcher and/or the project here. Dynamic Autonomy and Intelligent Robotics Lab
Details:
Preferred Student Year
Second-Year, Junior, Senior
Academic Term
Summer, Spring
I prefer to have students start during the above term(s).Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
Yes
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
Yes
Yes indicates that faculty are open to hiring work-study-eligible students.