Marek Sewer Kopicki

Orcid: 0000-0002-0769-0556

According to our database1, Marek Sewer Kopicki authored at least 24 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2022
Deep Dexterous Grasping of Novel Objects From a Single View.
Int. J. Humanoid Robotics, 2022

2019
Learning better generative models for dexterous, single-view grasping of novel objects.
Int. J. Robotics Res., 2019

Deep Dexterous Grasping of Novel Objects from a Single View.
CoRR, 2019

Generative grasp synthesis from demonstration using parametric mixtures.
CoRR, 2019

Hypothesis-based Belief Planning for Dexterous Grasping.
CoRR, 2019

Dynamic grasp and trajectory planning for moving objects.
Auton. Robots, 2019

2018
Feature-Based Transfer Learning for Robotic Push Manipulation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Learning modular and transferable forward models of the motions of push manipulated objects.
Auton. Robots, 2017

Uncertainty averse pushing with model predictive path integral control.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Optimized and Reconfigurable Environment for Simulation of Legged Robots.
Proceedings of the Automation 2017, 2017

2016
One-shot learning and generation of dexterous grasps for novel objects.
Int. J. Robotics Res., 2016

Learning and Inference of Dexterous Grasps for Novel Objects with Underactuated Hands.
CoRR, 2016

Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Active vision for dexterous grasping of novel objects.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Analysis of the inertia and dynamics of grasped objects, for choosing optimal grasps to enable torque-efficient post-grasp manipulations.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2014
Kinematically optimised predictions of object motion.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Learning dexterous grasps that generalise to novel objects by combining hand and contact models.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Sequential trajectory re-planning with tactile information gain for dexterous grasping under object-pose uncertainty.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012
Two-level RRT planning for robotic push manipulation.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Predicting the unobservable Visual 3D tracking with a probabilistic motion model.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Learning to predict how rigid objects behave under simple manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Prediction learning in robotic manipulation.
PhD thesis, 2010


2009
Prediction learning in robotic pushing manipulation.
Proceedings of the 14th International Conference on Advanced Robotics, 2009


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