Marek Kopicki
Marek Kopicki
Verified email at cs.bham.ac.uk - Homepage
Title
Cited by
Cited by
Year
Arrangement with beacon for providing information service
BAG Vanluijt, PJ Rankin, CB Marshall
US Patent 7,010,267, 2006
1132006
One shot learning and generation of dexterous grasps for novel objects
M Kopicki, R Detry, M Adjigble, R Stolkin, A Leonardis, JL Wyatt
The International Journal of Robotics Research, 2015
942015
Learning to predict how rigid objects behave under simple manipulation
M Kopicki, S Zurek, R Stolkin, T Mörwald, J Wyatt
2011 IEEE International Conference on Robotics and Automation, 5722-5729, 2011
652011
Two-level RRT planning for robotic push manipulation
C Zito, R Stolkin, M Kopicki, JL Wyatt
2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012
352012
Learning dexterous grasps that generalise to novel objects by combining hand and contact models
M Kopicki, R Detry, F Schmidt, C Borst, R Stolkin, JL Wyatt
2014 IEEE international conference on robotics and automation (ICRA), 5358-5365, 2014
332014
Learning modular and transferable forward models of the motions of push manipulated objects
M Kopicki, S Zurek, R Stolkin, T Moerwald, JL Wyatt
Autonomous Robots 41 (5), 1061-1082, 2017
282017
Towards advanced robotic manipulation for nuclear decommissioning: A pilot study on tele-operation and autonomy
N Marturi, A Rastegarpanah, C Takahashi, M Adjigble, R Stolkin, S Zurek, ...
2016 International Conference on Robotics and Automation for Humanitarian …, 2016
272016
Sequential trajectory re-planning with tactile information gain for dexterous grasping under object-pose uncertainty
C Zito, MS Kopicki, R Stolkin, C Borst, F Schmidt, MA Roa, JL Wyatt
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
242013
Prediction learning in robotic pushing manipulation
M Kopicki, J Wyatt, R Stolkin
2009 International Conference on Advanced Robotics, 1-6, 2009
222009
Active vision for dexterous grasping of novel objects
E Arruda, M Kopicki, J Wyatt
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 2016
212016
Prediction learning in robotic manipulation
M Kopicki
University of Birmingham, 2010
192010
Predicting workpiece motions under pushing manipulations using the principle of minimum energy
M Kopicki, R Stolkin, S Zurek, T Mörwald, J Wyatt
Proceedings of the RSS workshop on representations for object grasping and …, 2010
142010
Predicting the unobservable visual 3d tracking with a probabilistic motion model
T Mörwald, M Kopicki, R Stolkin, J Wyatt, S Zurek, M Zillich, M Vincze
2011 IEEE International Conference on Robotics and Automation, 1849-1855, 2011
132011
Dynamic grasp and trajectory planning for moving objects
N Marturi, M Kopicki, A Rastegarpanah, V Rajasekaran, M Adjigble, ...
Autonomous Robots, 2018
122018
Analysis of the inertia and dynamics of grasped objects, for choosing optimal grasps to enable torque-efficient post-grasp manipulations
N Mavrakis, R Stolkin, L Baronti, M Kopicki, M Castellani
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
122016
Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories
A Ghalamzan, N Mavrakis, M Kopicki, R Stolkin, A Leonardis
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016
12*2016
Uncertainty Averse Pushing with Model Predictive Path Integral Control
E Arruda, MJ Mathew, M Kopicki, M Mistry, M Azad, JL Wyatt
IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), 2017
112017
The playmate system
N Hawes, JL Wyatt, M Sridharan, M Kopicki, S Hongeng, I Calvert, ...
Cognitive Systems, 367-393, 2010
102010
Kinematically optimised predictions of object motion
D Belter, M Kopicki, S Zurek, J Wyatt
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
82014
Hypothesis-based belief planning for dexterous grasping
C Zito, V Ortenzi, M Adjigble, M Kopicki, R Stolkin, JL Wyatt
arXiv preprint arXiv:1903.05517, 2019
62019
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