Search Results - subject:"Human robot"

Balancing and scheduling of assembly line with multi-type collaborative robots

Mao, Zhaofang; Sun, Yiting; Fang, Kan; Huang, Dian; … - In: International journal of production economics 271 (2024), pp. 1-23

Persistent link: https://www.econbiz.de/10015049708

Sky-Worker: a heterogeneous dual-arm robot with dynamic authority assignment for live-line working

Li, Yanghong; Wang, Yahao; Chen, Yutao; Rong, X.W.; … - In: Industrial Robot: the international journal of robotics … 51 (2024) 2, pp. 301-313

contradiction between high load-carrying capacity and high flexibility. A human–robot collaborative shared control architecture is … operation robot has achieved better overall performance. A human–robot cooperative shared control framework is proposed for …

Persistent link: https://www.econbiz.de/10015348378

A KMP-based interactive learning approach for robot trajectory adaptation with obstacle avoidance

Xiao, Sa; Chen, Xuyang; Lu, Yuankai; Ye, Jinhua; Wu, Haibin - In: Industrial Robot: the international journal of robotics … 51 (2024) 2, pp. 326-339

Purpose Imitation learning is a powerful tool for planning the trajectory of robotic end-effectors in Cartesian space. Present methods can adapt the trajectory to the obstacle; however, the solutions may not always satisfy users, whereas it is hard for a nonexpert user to teach the robot to avoid...

Persistent link: https://www.econbiz.de/10015348409

Human-following task without a prior map

Zhou, Zhiqiang; Fu, Yong; Wu, Wei - In: Industrial Robot: the international journal of robotics … 51 (2024) 6, pp. 960-972

Purpose The human-following task is a fundamental function in human–robot collaboration. It requires a robot to …

Persistent link: https://www.econbiz.de/10015348420

Customer acceptance of frontline social robots : human-robot interaction as boundary condition

Ding, Bin; Li, Yameng; Miah, Shah; Liu, Wei - In: Technological forecasting and social change : an … 199 (2024), pp. 1-11

Persistent link: https://www.econbiz.de/10015097561

Augmented-Reality-basierte Assistenz für das Anlernen manueller und roboterunterstützter Montageprozesse

Hegenberg, Jens; Schmidt, Ludger - In: Zeitschrift für Arbeitswissenschaft 75 (2021) 4, pp. 367-387

Durch eine zunehmend flexibilisierte Produktion und relativ hohe Personalfluktuation bei einfachen Tätigkeiten wird das Anlernen neuer Mitarbeitender bzw. für neue oder geänderte Produktionsprozesse zunehmend relevanter. Konventionelle Anlernmethoden, bspw. durch Demonstration oder...

Persistent link: https://www.econbiz.de/10014501413