An illustration of two people talking in an futuristic autonomous vehicle

Is the World Ready for Self-Driving Cars?

Nov. 27, 2023

Autonomous vehicles are hitting the road in cities across the U.S. Can they be trusted? Researchers from the Department of Computer Science weigh in. External link to the Coloradan Alumni Magazine.

Edgar Mine robot

Building next generation autonomous robots to serve humanity

Nov. 17, 2023

One thousand feet underground, a four-legged creature scavenges through tunnels in pitch darkness. The sound of its movements echo eerily off the walls, but it is not to be feared – this is no wild animal; it is an autonomous rescue robot.

Water and radar abstract image

Keeping water on the radar: Machine learning to aid in essential water cycle measurement

May 20, 2022

Department of Computer Science assistant professor Chris Heckman and CIRES research hydrologist Toby Minear have been awarded a Grand Challenge Research & Innovation Seed Grant to create an instrument that could revolutionize our understanding of the amount of water in our rivers, lakes, wetlands and coastal areas by greatly increasing the places where we measure it.

Dan Torres wears a mask while working on one of the DARPA Subterranean Challenge robots

Robotics researchers ready to start field-testing their code

June 24, 2020

Out of 20 students who work in Chris Heckman's lab, five have been approved to head back to their space in the ECES wing of the Engineering Center. There, they’ll be able to field-test the software they’ve been developing in a simulation platform, which they also had to build from scratch to accommodate remote teamwork.

Michael Miles and Daniel Torres talk with another challenge participant during a break outside of the DARPA Subterranean Challenge course area.

It has to work: Sub T Challenge sharpens students’ skill in the field

April 20, 2020

CU Boulder is one of several funded teams in the Subterranean Challenge, a competition launched by the U.S. Defense Advanced Research Projects Agency to stimulate and test ideas around autonomous robot use in difficult underground environments.

A close-up look at the LIDAR sensors on one of the MARBLE team's robots

Drones go underground in high-stakes competition

Feb. 6, 2020

Assistant Professor Chris Heckman and his team are helping to design robots that view their surroundings using three different types of sensors, including a traditional camera, radar and a laser-based system called Light Detection and Ranging (LIDAR).

Three operators work on a drone in the middle of a grassy field.

Robotics researchers have a duty to prevent autonomous weapons

Dec. 4, 2019

Assistant Professor Christoffer Heckman writes about the ethical challenges of AI-enhanced autonomous systems in The Conversation.