The Correll lab is doing active research in robotic manipulation, which is at the intersection of robotic design and artificial intelligence to enable robots with human-like object manipulation skills, and robotic materials, novel composite materials that embed sensing, actuation, computation, and communication.

Our alumni became tenure-track Professors at R1 universities, graduate students and post-docs at the world's premier research universities joined large corporations as engineers and scientists, or started successful robotics companies. 

Latest papers

A complete peg-in-hole assembly sequence: A The bearing is presented in a 3Dprinted jig, B The bearing is picked up by the robot and transported to the assembly plate C. Force and torque measurements are used to D locate the hole E and complete insertion. Insertion failure due to misalignment F. Friction with the edge of the hole has caused the twisting action to pull the bearing further from the hole center.
Optimal decision making in robotic assembly and other trial-and-error tasks

Jan. 25, 2023

Uncertainty in perception, actuation, and the environment often require multiple attempts for a robotic task to be successful. We study a class of problems providing (1) low-entropy indicators of terminal success / failure, and (2) unreliable (high-entropy) data to predict the final outcome of an ongoing task. Examples include a...

Embedded Magnetic Sensing for Feedback Control of Soft HASEL Actuators
Embedded Magnetic Sensing for Feedback Control of Soft HASEL Actuators

Sept. 10, 2022

The need to create more viable soft sensors is increasing in tandem with the growing interest in soft robots. Several sensing methods, like capacitive stretch sensing and intrinsic capacitive self-sensing, have proven to be useful when controlling soft electro-hydraulic actuators, but are still problematic. This is due to challenges around...

Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms
Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms

June 2, 2022

Textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. Introduction to Autonomous Robots offers a much-needed resource for teaching third- and fourth-year undergraduates the computational fundamentals behind the design and control of autonomous robots. The authors use...

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