首页|Research Results from Kongju National University Update Knowledge of Robotics (R esilient Adaptive Multi-Robot Formation Tracking for Achieving Guaranteed Dynami c Obstacle Avoidance Within Limited Inter-Agent Communication Ranges)
Research Results from Kongju National University Update Knowledge of Robotics (R esilient Adaptive Multi-Robot Formation Tracking for Achieving Guaranteed Dynami c Obstacle Avoidance Within Limited Inter-Agent Communication Ranges)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news originatingfrom Cheonan, South Korea, by News Rx editors, the research stated, “This paper presents a resilientadaptive forma tion control design strategy to achieve guaranteed dynamic obstacle avoidance wi thinlimited inter-agent communication ranges in nonholonomic multi-robot system s.”
Kongju National UniversityCheonanSou th KoreaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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