Roboticists Go Off Road To Compile Data That Could Train Self-Driving ATVs

June 30, 2022

But that sort of information isn’t often available and, even when it is, might not be useful. The research team found that the multimodal sensor data they gathered for TartanDrive enabled them to build prediction models superior to those developed with simpler, nondynamic data. Driving aggressively also pushed the ATV into a performance realm where an understanding of dynamics became essential, said Samuel Triest, a second-year master’s student in robotics. The team’s tests were performed at a site near Pittsburgh that CMU’s National Robotics Engineering Center uses to test autonomous off-road vehicles. “We were forcing the human to go through the same control interface as the robot would,” Wang said.

The source of this news is from Carnegie Mellon University, The Robotics Institute

Popular in Robot Platform


Jan 11, 2023

Our Five Most-Read Customer Stories of 2022


Jan 11, 2023

ABB technology to facilitate energy efficiency savings in Formula E


5 days ago

New G2RV-ST and G3RV-ST relays are among the fastest in the industry and provide better visibility, top-notch reliability, and vibration resistance.


1 day ago

ABB Formula E lights up sustainable progress in Diriyah


Jan 11, 2023

Autel Robotics to Announce EVO Max 4T Drone and New Accessories at CES 2023-Autel Robotics

ABB sells Power Conversion division to AcBel Polytech Inc. for $505 million

5 days ago

Epson Signs Motion Automation Intelligence (Ai) as Distributor in Central and Southeast Regions

Jan 18, 2023

Correction of previously published press release: Disclosure of 5 percent holding of own shares

Dec 21, 2022

Disclosure of 5 percent holding of own shares

Dec 20, 2022

OEM Workforce and Transformation Technologies

Dec 15, 2022

ABB Decoded podcast: Technologies for greener shipping

Oct 3, 2022

How did ManoMotion end up here?

1 day ago

ABB Formula E Season 9 goes green in Mexico

Jan 13, 2023