Seite - 206 - in Proceedings - OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“

[1] Bascetta, L. and Ferretti, G. and Rocco, P. and Ardo, H. and Bruyninckx, H. and Demeester, E. and Di Lello, E., Towards safe human-robot interaction in robotic cells: An approach based on visual tracking and intention estimation, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 2971–2978, Sept, 2011. [2] Bastian Hartmann, Human Worker Activity Recognition in Industrial Environments, Published doctoral thesis, Karlsruhe Institute of Technology, Karlsruhe, Germany, 2011. [3] Claudia Pérez D'Arpino and Shah, Julie A., Fast Target Prediction of Human Reaching Motion for Cooperative Human-Robot Manipulation Tasks Using Time Series Classification, 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015. [4] E. Erdem, K. Haspalamutgil, C. Palaz, V. Patoglu and T. Uras, Combining high-level causal reasoning with low- level geometric reasoning and motion planning for robotic manipulation, 2011 IEEE International Conference on Robotics and Automation (ICRA), pp 4575–4581, 2011. [5] Hawkins, K. P., Bansal, S., Vo, N. N., and Bobick, A. F, Anticipating Human Actions for Collaboration in the Presence of Task and Sensor Uncertainty, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp 2215–2222, May 31 – June 7, 2014. [6] H. S. Koppula and A. Saxena, Anticipating human activities using object affordances for reactive robot response, Intelligent Robots and Systems (IROS), in Proceedings of Robotics: Science and Systems, 2012. [7] Kalakrishnan, Mrinal and Chitta, S. and Theodorou, E. and Pastor, Peter and Schaal, S., STOMP: Stochastic trajectory optimization for motion planning, 2011 IEEE International Conference on Robotics and Automation (ICRA), pp 4569–4574, May, 2011. [8] Katayama, T., Subspace methods for system identification, Springer Science \& Business Media, 2006. [9] Mainprice, J. and Berenson, D., Human-robot collaborative manipulation planning using early prediction of human motion, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 299–306, Nov, 2013. [10] Mehmet Dogar and Siddhartha Srinivasa, A Framework for Push-Grasping in Clutter, Proceedings of Robotics: Science and Systems, June, 2011. [11] Narayanan, V., Phillips, M., and Likhachev. M., Anytime Safe Interval Path Planning for dynamic environments, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 4708–4715, Oct, 2012. [12] Roitberg, A., Perzylo, A., Somani, N., Giuliani, M., Rickert, M., and Knoll, A., Human activity recognition in the context of industrial human-robot interaction, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Dec 1–10, 2014. [13] S. Srivastava and E. Fang and L. Riano and R. Chitnis and S. Russell and P. Abbeel, Combined task and motion planning through an extensible planner-independent interface layer, 2014 IEEE International Conference on Robotics and Automation (ICRA), pp 639–646, 2014. [14] Sharath Akkaladevi, Martin Ankerl, Christoph Heindl and Andreas Pichler, Tracking multiple rigid symmetric and non-symmetric objects in real-time using depth data, 2016 IEEE International Conference on Robotics and Automation (ICRA), May 16–21, 2016. [15] Sharath Chandra Akkaladevi and Christoph Heindl, Action Recognition for human Robot Interaction in Industrial Applications, 2015 IEEE international Conference on Computer Graphics, Vision and information Security (CGVIS), Nov 2–3, 2015. [16] Tanaka, Y. and Kinugawa, J. and Sugahara, Y. and Kosuge, K., Motion planning with worker's trajectory prediction for assembly task partner robot, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 1525–1532, Oct, 2012. 206