title: Design and Integration for High Performance Robotic Systems Based on Decomposition and Hybridization Approaches.
abstract: Currently, the uses of robotics are limited with respect to performance capabilities. Improving the performance of robotic mechanisms is and still will be the main research topic in the next decade. In this paper, design and integration for improving performance of robotic systems are achieved through three different approaches, i.e., structure synthesis design approach, dynamic balancing approach, and adaptive control approach. The purpose of robotic mechanism structure synthesis design is to propose certain mechanism that has better kinematic and dynamic performance as compared to the old ones. For the dynamic balancing design approach, it is normally accomplished based on employing counterweights or counter-rotations. The potential issue is that more weight and inertia will be included in the system. Here, reactionless based on the reconfiguration concept is put forward, which can address the mentioned problem. With the mechanism reconfiguration, the control system needs to be adapted thereafter. One way to address control system adaptation is by applying the "divide and conquer" methodology. It entails modularizing the functionalities: breaking up the control functions into small functional modules, and from those modules assembling the control system according to the changing needs of the mechanism.
authors.affiliation: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China. dzhang99@yorku.ca.|Department of Mechanical Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada. dzhang99@yorku.ca.
authors.forename: Dan
authors.initials: D
authors.lastname: Zhang
authors.affiliation: Department of Mechanical Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada. binwei28@yorku.ca.
authors.forename: Bin
authors.initials: B
authors.lastname: Wei
keywords: control design; decomposition and integration; dynamic balancing; robotic systems; synthesis design