Research Overview


Objective

The Advanced Robotics and Controls Lab focuses on developing intelligent algorithms and controls new robotic systems. We are always looking for new ideas to apply robotics to solve real-world problems. Several application areas, outlined below, currently drive the research agenda of the lab. The lab is a multidisciplinary effort, with mechanical design of robotic systems and algorithm development.

Applications:


Novel robotic tools for next generation minimally invasive or non-invasive surgical procedures.
Machine Learning algorithms for robotic systems for semi-autonomous and human-robot collaborative surgery.
Image processing, image integration, and image-guided planning for augmented-reality surgery.
Biomimetic design for new classes of compliant robots, and biomimetic actuators for interfacing with the human body.

Primary Research Topics

Please select one of the following for an overview of the research areas:

Surgical Robots

Robot Learning

Biomimetic Robots


Areas of Robotics Research:

Artificial intelligence and autonomous control

Learning biomimetic robot manipulation

Millimeter scale snake-like robot design and control

Image-based guidance and augmented reality

Artificial muscles and muscle-powered robots

Biomimetics

Technical Keywords:

Artificial Intelligence and Machine Learning

Motion Planning

Reinforcement Learning

Optimal Control

Convex Optimization

Simultaneous Localization and Mapping

Augmented Reality

Model-based Design