机器人
能源消耗
背景(考古学)
云计算
高效能源利用
反向动力学
机器人运动学
运动学
计算机科学
工业机器人
运动规划
控制工程
工程类
模拟
移动机器人
人工智能
电气工程
经典力学
生物
操作系统
物理
古生物学
作者
Lihui Wang,Abdullah Mohammed,Xi Vincent Wang,Bernard Schmidt
标识
DOI:10.1080/0951192x.2017.1379099
摘要
The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a robot path and based on the inverse kinematics and dynamics of the robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the path. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly. This cloud-based energy-efficient approach for robotic applications can largely enhance the current practice as demonstrated by the results of three case studies, leading towards sustainable manufacturing.
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