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 based on the research of collaborative robots,realize 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。
RELIANCE ELECTRIC DRIVE CIRCUIT BOARD CARD PSBD-1 PSBD1 SB-68178
AGV ZAHN Chopper Servo Amplifier CH10090F/120
DODGE FLANGE BEARING 057708 F4B-SCM-307-HT F4BSCM307HT 3-7/16″ BORE 3716
SCHALTAG CIRCUIT BOARD POWER SUPPLY 1846-0058 18460058 EPH 093 EPH093
OKI OKAYA CIRCUIT BOARD OPERATOR INTERFACE QDD-13026-1 M-0397-1 DSA4012CR2-K
ALLEN BRADLEY DC Contactor 123166 280a 550vdc NIB
Moore PC Board Circuit Board/Card 15921-27-2 BGB 15922-1 159221 Issue 3