STAC: Simultaneous tracking and calibration

System identification is an essential first step in robotic control. Here we focus on the calibration of kinematic sensors, such as joint angle potentiometers, tendon/actuator extension sensors and motion capture markers, on complex humanoid robots.

[1]  E F Fichter,et al.  A Stewart Platform- Based Manipulator: General Theory and Practical Construction , 1986 .

[2]  John M. Hollerbach,et al.  The Calibration Index and Taxonomy for Robot Kinematic Calibration Methods , 1996, Int. J. Robotics Res..

[3]  Emanuel Todorov,et al.  Probabilistic Inference of Multijoint Movements, Skeletal Parameters and Marker Attachments From Diverse Motion Capture Data , 2007, IEEE Transactions on Biomedical Engineering.

[4]  Jae-Hoon Kim,et al.  The effective kinematic calibration method of industrial manipulators using IGPS , 2009, 2009 ICCAS-SICE.

[5]  Seiji Aoyagi,et al.  Improvement of robot accuracy by calibrating kinematic model using a laser tracking system-compensation of non-geometric errors using neural networks and selection of optimal measuring points using genetic algorithm- , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Alex Simpkins,et al.  Identification and control of a pneumatic robot , 2010, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[7]  Vijay Kumar,et al.  Minimum snap trajectory generation and control for quadrotors , 2011, 2011 IEEE International Conference on Robotics and Automation.

[8]  Yuval Tassa,et al.  MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Vikash Kumar,et al.  Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands , 2013, 2013 IEEE International Conference on Robotics and Automation.