It came to my attention that there are emails sent around offering weekly stipends for working from home as an internship, soliciting interaction via text message. These emails are a SCAM, probably extorting money in some way. These emails are not from me and it is not my phone number. Please reach out via email if you are CU student and interested in research opportunities in my lab.

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 multifunctional soft robotic shape display with high-speed actuation, sensing, and control
A multifunctional soft robotic shape display with high-speed actuation, sensing, and control

July 31, 2023

Shape displays that actively manipulate surface geometry are an expanding robotics domain with applications to haptics, manufacturing, aerodynamics, and more. However, existing displays often lack high-fidelity shape morphing, high-speed deformation, and embedded state sensing, limiting their potential uses. Here, we demonstrate a multifunctional soft-shape display driven by a 10 × 10 array...

The Versand
A versatile robotic hand with 3D perception, force sensing for autonomous manipulation

July 10, 2023

We describe a force-controlled robotic gripper with built-in tactile and 3D perception. We also describe a complete autonomous manipulation pipeline consisting of object detection, segmentation, point cloud processing, force-controlled manipulation, and symbolic (re)-planning. The design emphasizes versatility in terms of applications, manufacturability, use of commercial off-the-shelf parts, and open-source software...

Transformer architecture
Early failure prediction during robotic assembly using Transformers

July 10, 2023

Peg-in-hole assembly of tightly fitting parts often requires multiple attempts. Parts need to be put together by performing a wiggling motion of undetermined length and can get stuck, requiring a restart. Recognizing unsuccessful insertion attempts early can help in reducing the makespan of the assembly. This can be achieved by...

All papers