Title :
Automated guidance of peg-in-hole assembly tasks for complex-shaped parts
Author :
Hee-Chan Song ; Young-Loul Kim ; Jae-Bok Song
Author_Institution :
Mech. Eng. Dept., Korea Univ., Seoul, South Korea
Abstract :
To prevent the failure of peg-in-hole assembly tasks involving geometrically complex parts, a force control-based assembly strategy that takes geometric information into account is required. Therefore, in this study, we propose an assembly strategy for complex-shaped parts which performs force control based on visually-obtained geometric information and CAD models. CAD models are used to obtain geometric information about the parts, and a camera is used to track their position and orientation. In addition, an impedance control scheme is used to control the contact force to avoid excessive force during assembly tasks. The performance of the proposed guidance algorithm was evaluated by a series of experiments using arbitrary complex-shaped parts.
Keywords :
CAD; cameras; dexterous manipulators; force control; industrial manipulators; path planning; robot vision; robotic assembly; CAD models; automated peg-in-hole assembly task guidance; camera; complex-shaped parts; contact force control; excessive force avoidance; failure prevent; force control-based assembly strategy; geometrically complex parts; guidance algorithm; impedance control; orientation tracking; position tracking; visually-obtained geometric information; Assembly; Design automation; Feature extraction; Force; Impedance; Robots; Solid modeling;
Conference_Titel :
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
Conference_Location :
Chicago, IL
DOI :
10.1109/IROS.2014.6943202