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Marek Kopicki
Marek Kopicki
Verified email at cs.bham.ac.uk - Homepage
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Cited by
Cited by
Year
Arrangement with beacon for providing information service
BAG Vanluijt, PJ Rankin, CB Marshall
US Patent 7,010,267, 2006
1762006
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
1562015
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
842016
Dynamic grasp and trajectory planning for moving objects
N Marturi, M Kopicki, A Rastegarpanah, V Rajasekaran, M Adjigble, ...
Autonomous Robots, 2018
832018
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
832011
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
672012
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, 1061-1082, 2017
592017
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
462014
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
422017
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
402016
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
342013
Learning better generative models for dexterous, single-view grasping of novel objects
MS Kopicki, D Belter, JL Wyatt
The International Journal of Robotics Research 38 (10-11), 1246-1267, 2019
332019
Feature-Based Transfer Learning for Robotic Push Manipulation
J Stüber, M Kopicki, C Zito
IEEE International Conference on Robotics and Automation (ICRA), 2018, 2018
332018
Prediction learning in robotic pushing manipulation
M Kopicki, J Wyatt, R Stolkin
2009 International conference on advanced robotics, 1-6, 2009
282009
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
262016
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
23*2016
Prediction learning in robotic manipulation
M Kopicki
University of Birmingham, 2010
222010
Deep Dexterous Grasping of Novel Objects From a Single View
ÜR Aktaş, C Zhao, M Kopicki, JL Wyatt
International Journal of Humanoid Robotics 19 (02), 2022
192022
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
162010
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
142019
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