Depth-based localization for robotic peg-in-tube assembly

Peg-in-tube assembly stands ahead of a more common benchmark task for industrial assembly, i.e., `pegin-hole'. The robot can easily be deceived to detect the actual hole while performing a `peg-in-tube' task as the tube has a surrounding pocket that cannot support the peg. The paper presents a thorough geometrical analysis of the `peg-in-tube' assembly process, and proposes a novel algorithm based on depth measurements of peg center to perform `peg-in-tube' task. The results are demonstrated on a KUKA KR5 Arc industrial robot with a chamferless cylindrical peg and a tube having a minimum clearance of 0.10 mm.

[1]  N.D. Georganas,et al.  Modelling Contact Forces for 3D Interactive Peg-in-Hole Virtual Reality Operations , 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

[2]  Masatoshi Ishikawa,et al.  Fast peg-and-hole alignment using visual compliance , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Subir Kumar Saha,et al.  Parallel active/passive force control of industrial robots with joint compliance , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Michael S. Branicky,et al.  Particle filtering for localization in robotic assemblies with position uncertainty , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Jimmy A. Jørgensen,et al.  Transfer of assembly operations to new workpiece poses by adaptation to the desired force profile , 2013, 2013 16th International Conference on Advanced Robotics (ICAR).

[6]  Jae-Bok Song,et al.  Hole detection algorithm for square peg-in-hole using force-based shape recognition , 2012, 2012 IEEE International Conference on Automation Science and Engineering (CASE).

[7]  Heping Chen,et al.  Integrated robotic system for high precision assembly in a semi‐structured environment , 2007 .

[8]  Yuichi Matsumoto,et al.  Modeling of force sensing and validation of disturbance observer for force control , 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).

[9]  Prabir K. Pal,et al.  Intelligent and environment-independent Peg-In-Hole search strategies , 2013, 2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE).