Title :
Robotic grasping and Manipulation Controller Framework architecture redevelopment
Author :
Dzitac, Pavel ; Mazid, Abdul Md ; Littlefair, Guy ; Polishetty, Ashwin
Author_Institution :
School of Engineering, Deakin University, Geelong, Australia
Abstract :
This paper details the further improvements obtained by redesigning a previously offered Manipulation Controller Framework to provide support to an innovative, friction-based object slippage detection strategy employed by the robotic object manipulator. This upgraded Manipulation Controller Framework includes improved slippage detection functionality and a streamlined architecture designed to improve controller robustness, reliability and speed. Improvements include enhancements to object slippage detection strategy, the removal of the decision making module and integration of its functionality into the Motion Planner, and the stream-lining of the Motion Planner to improve its effectiveness. It is anticipated that this work will be useful to researchers developing integrated robot controller architectures and slippage control.
Keywords :
Force; Grasping; Grippers; Robot kinematics; Robot sensing systems; Controller Framework; Object Manipulation; Slippage Control;
Conference_Titel :
Informatics in Control, Automation and Robotics (ICINCO), 2014 11th International Conference on