activity
20192023
most citedMaximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces

31 citations · 46 across the 5 of their papers we have counts for

collaborators

7 papers

cs.HC2023★ 2 cited

Haptic Feedback of Tool Vibrations Facilitates Telerobotic Construction

Yijie Gong, Haliza Mat Husin, Ecda Erol +2

Telerobotics has shown promise in helping workers safely manipulate building components on construction sites; however, its primary reliance on visual feedback limits efficiency in…

cs.CV2022

Zero-Shot Multi-Modal Artist-Controlled Retrieval and Exploration of 3D Object Sets

Kristofer Schlachter, Benjamin Ahlbrand, Zhu Wang +2

When creating 3D content, highly specialized skills are generally needed to design and generate models of objects and other assets by hand. We address this problem through high-qua…

cs.RO2020

Object Handovers: a Review for Robotics

Valerio Ortenzi, Akansel Cosgun, Tommaso Pardi +3

This article surveys the literature on human-robot object handovers. A handover is a collaborative joint action where an agent, the giver, gives an object to another agent, the rec…

cs.RO2020

Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision

Patrick Rosenberger, Akansel Cosgun, Rhys Newbury +4

We present an approach for safe and object-independent human-to-robot handovers using real time robotic vision and manipulation. We aim for general applicability with a generic obj…

cs.RO2020

Model-free vision-based shaping of deformable plastic materials

Andrea Cherubini, Valerio Ortenzi, Akansel Cosgun +2

We address the problem of shaping deformable plastic materials using non-prehensile actions. Shaping plastic objects is challenging, since they are difficult to model and to track…

cs.RO2019★ 31 cited

Maximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces

T. Pardi, V. Ortenzi, C. Fairbairn +3

This paper presents a method for constrained motion planning from vision, which enables a robot to move its end-effector over an observed surface, given start and destination point…

cs.RO2019★ 13 cited

Hypothesis-based Belief Planning for Dexterous Grasping

Claudio Zito, Valerio Ortenzi, Maxime Adjigble +3

Belief space planning is a viable alternative to formalise partially observable control problems and, in the recent years, its application to robot manipulation problems has grown.…