Följ
Marek Kopicki
Marek Kopicki
Verifierad e-postadress på cs.bham.ac.uk - Startsida
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Arrangement with beacon for providing information service
BAG Vanluijt, PJ Rankin, CB Marshall
US Patent 7,010,267, 2006
1742006
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
1602015
Dynamic grasp and trajectory planning for moving objects
N Marturi, M Kopicki, A Rastegarpanah, V Rajasekaran, M Adjigble, ...
Autonomous Robots, 2018
972018
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
912016
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
842011
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
712012
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
602017
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
502017
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
492014
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
412016
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
352019
Feature-Based Transfer Learning for Robotic Push Manipulation
J Stüber, M Kopicki, C Zito
IEEE International Conference on Robotics and Automation (ICRA), 2018, 2018
342018
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
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
282016
Prediction learning in robotic pushing manipulation
M Kopicki, J Wyatt, R Stolkin
2009 International conference on advanced robotics, 1-6, 2009
282009
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
25*2016
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
242022
Prediction learning in robotic manipulation
M Kopicki
University of Birmingham, 2010
222010
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
152019
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Artiklar 1–20