首页|Studies from Soochow University Yield New Data on Robotics (Obstacle Avoidance L earning for Robot Motion Planning In Humanrobot Integration Environments)
Studies from Soochow University Yield New Data on Robotics (Obstacle Avoidance L earning for Robot Motion Planning In Humanrobot Integration Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating from Suzhou, Peop le’s Republic of China, by NewsRx correspondents, research stated, “In the human -robot integration environment, it is essential for mobile robots to pass throug h the crowd and complete the navigation task smoothly. However, the current main stream robot navigation algorithms only treat pedestrians as dynamic obstacles a nd passively avoid pedestrians in local planning.”
SuzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsSoochow University
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NSTL
IEEE
