Robotics & Machine Learning Daily News2024,Issue(Feb.2) :74-75.DOI:10.1016/j.robot.2023.104582

Findings on Robotics Reported by Investigators at Sapienza Univer- sity of Rome (Dynamics-aware Navigation Among Moving Obstacles With Application To Ground and Flying Robots)

Robotics & Machine Learning Daily News2024,Issue(Feb.2) :74-75.DOI:10.1016/j.robot.2023.104582

Findings on Robotics Reported by Investigators at Sapienza Univer- sity of Rome (Dynamics-aware Navigation Among Moving Obstacles With Application To Ground and Flying Robots)

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Abstract

2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been presented. According to news reporting out of Rome, Italy, by NewsRx editors, research stated, “We present a novel method for navigation of mobile robots in challenging dynamic environments. The method, which is based on Nonlinear Model Predictive Control (NMPC), hinges upon a specially devised constraint for dynamics-aware collision avoidance.” Our news journalists obtained a quote from the research from the Sapienza University of Rome, “In particular, the constraint builds on the notion of avoidable collision state, taking into account the robot ac- tuation capabilities in addition to the robot-obstacle relative distance and velocity. The proposed approach is applied to both ground and flying robots and tested in a variety of static and dynamic environments. Comparative simulations with an NMPC using a purely distance-based collision avoidance constraint con- firm the superiority of the dynamics-aware version, especially for high-speed navigation among moving obstacles.”

Key words

Rome/Italy/Europe/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Sapienza University of Rome

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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