首页|Researchers from University of Maryland Report Findings in Robotics (Pronav: Pro prioceptive Traversability Estimation for Legged Robot Navigation In Outdoor Env ironments)
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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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.”
College ParkMarylandUnited StatesN orth and Central AmericaEmerging TechnologiesMachine LearningRobotRoboti csUniversity of Maryland
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