Robotics & Machine Learning Daily News2024,Issue(Aug.6) :113-113.

Researchers from University of Maryland Report Findings in Robotics (Pronav: Pro prioceptive Traversability Estimation for Legged Robot Navigation In Outdoor Env ironments)

Robotics & Machine Learning Daily News2024,Issue(Aug.6) :113-113.

Researchers from University of Maryland Report Findings in Robotics (Pronav: Pro prioceptive Traversability Estimation for Legged Robot Navigation In Outdoor Env ironments)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Robotic s. According to news originating from CollegePark, Maryland, by NewsRx correspo ndents, research stated, “We propose a novel method, ProNav, whichuses proprioc eptive signals for traversability estimation in challenging outdoor terrains for autonomouslegged robot navigation. Our approach uses sensor data from a legged robot’s joint encoders, force, andcurrent sensors to measure the joint positio ns, forces, and current consumption respectively to accuratelyassess a terrain’ s stability, resistance to the robot’s motion, risk of entrapment, and crash.”

Key words

College Park/Maryland/United States/N orth and Central America/Emerging Technologies/Machine Learning/Robot/Roboti cs/University of Maryland

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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