40 citations · 120 across the 9 of their papers we have counts for
10 papers
3D Reconstruction of non-visible surfaces of objects from a Single Depth View -- Comparative Study
Rafał Staszak, Piotr Michałek, Jakub Chudziński +2
Scene and object reconstruction is an important problem in robotics, in particular in planning collision-free trajectories or in object manipulation. This paper compares two strate…
Underactuated dexterous robotic grasping with reconfigurable passive joints
Marek Kopicki, Sainul Islam Ansary, Simone Tolomei +3
We introduce a novel reconfigurable passive joint (RP-joint), which has been implemented and tested on an underactuated three-finger robotic gripper. RP-joint has no actuation, but…
Deep Dexterous Grasping of Novel Objects from a Single View
Umit Rusen Aktas, Chao Zhao, Marek Kopicki +2
Dexterous grasping of a novel object given a single view is an open problem. This paper makes several contributions to its solution. First, we present a simulator for generating an…
Learning better generative models for dexterous, single-view grasping of novel objects
Marek Kopicki, Dominik Belter, Jeremy L. Wyatt
This paper concerns the problem of how to learn to grasp dexterously, so as to be able to then grasp novel objects seen only from a single view-point. Recently, progress has been m…
Generative grasp synthesis from demonstration using parametric mixtures
Ermano Arruda, Claudio Zito, Mohan Sridharan +2
We present a parametric formulation for learning generative models for grasp synthesis from a demonstration. We cast new light on this family of approaches, proposing a parametric…
Feature-Based Transfer Learning for Robotic Push Manipulation
Jochen Stüber, Marek Kopicki, Claudio Zito
This paper presents a data-efficient approach to learning transferable forward models for robotic push manipulation. Our approach extends our previous work on contact-based predict…