The future research direction is the theory and method of active perception and natural interaction,and the addition of more sensors will enable collaborative robots to understand human instructions(via voice,gestures,graphics).Based on active acquisition,learning and reasoning methods of knowledge in complex dynamic environments,visual cognition and active behavior intention understanding and prediction theory based on dynamic environments,autonomous learning and robot knowledge proliferation methods for collaborative robots,and multimodal human-robot collaboration Research on situational awareness and natural interaction methods,realizing mutual intention understanding,information exchange,and natural and harmonious emotional interaction between collaborative robots and humans
未来的研究方向为主动感知与自然交互理论及方法,更多传感器的加入,使协作机器人能够理解人类指令(通过声音、手势、图形)。基于对复杂动态环境下知识的主动获取、学习与推理方法、视觉认知与基于动态环境的主动行为意图理解与预测理论、协作机器人的自主学习与机器人知识增殖方法、以及多模态人机协作的态势感知与自然交互方法的研究,实现协作机器人与人之间相互的意图理解、信息交流,以及自然和谐的情感交互
Parker Link Techbox 6053-L-00 6053L00 BS 1.5
ALLEN BRADLEY INDUSTRIAL TERMINAL T50 1784-T50B 1784T50B 966550-03 115/230V
ALLEN BRADLEY 953-1000 DATA COLLECTOR CONTROLLER 100-240V 5A 9531000
YASKAWA MOTOMAN ROBOTICS SERVOPACK 3KW CACR-SR-30SZ1SDY137 CACR-SR30SZ1SDY137
Avtron Analog Converter K663C20438 K663 796 250/750 VDC 115/230 VAC 0.3 Amp
GEORGES RENAULT CIRCUIT BOARD CU-8593-IND.A 6159188000
GE GENERAL ELECTRIC PC CIRCUIT DISPLAY BOARD DS200SLCCG1ACC 6BA02