Marek Kopicki
Marek Kopicki
Verified email at cs.bham.ac.uk - Homepage
TitleCited byYear
Arrangement with beacon for providing information service
BAG Vanluijt, PJ Rankin, CB Marshall
US Patent 7,010,267, 2006
120*2006
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
752015
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
632011
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
332012
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
302014
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
252017
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
242016
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
212013
Prediction learning in robotic pushing manipulation
M Kopicki, J Wyatt, R Stolkin
2009 International Conference on Advanced Robotics, 1-6, 2009
212009
Prediction learning in robotic manipulation
M Kopicki
University of Birmingham, 2010
172010
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
152016
Predicting workpiece motions under pushing manipulations using the principle of minimum energy
M Kopicki, R Stolkin, S Zurek, T Mörwald, J Wyatt
Workshop of Robotics: Science and Systems, 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
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
10*2016
The playmate system
N Hawes, JL Wyatt, M Sridharan, M Kopicki, S Hongeng, I Calvert, ...
Cognitive Systems, 367-393, 2010
92010
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
82016
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
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
72017
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
42019
Dynamic grasp and trajectory planning for moving objects
N Marturi, M Kopicki, A Rastegarpanah, V Rajasekaran, M Adjigble, ...
Autonomous Robots, 2018
42018
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Articles 1–20