activity
20152025
most citedRobotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review

129 citations · 264 across the 21 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

cs.RO2020

A Systematic Approach to Computing the Manipulator Jacobian and Hessian using the Elementary Transform Sequence

Jesse Haviland, Peter Corke

The elementary transform sequence (ETS) provides a universal method of describing the kinematics of any serial-link manipulator. The ETS notation is intuitive and easy to understan…

cs.RO2020

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience

Robert Lee, Daniel Ward, Akansel Cosgun +3

Manipulating deformable objects, such as fabric, is a long standing problem in robotics, with state estimation and control posing a significant challenge for traditional methods. I…

cs.RO2020

NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators

Jesse Haviland, Peter Corke

We present NEO, a fast and purely reactive motion controller for manipulators which can avoid static and dynamic obstacles while moving to the desired end-effector pose. Additional…

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.RO20201 cited

EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation

Douglas Morrison, Peter Corke, Jürgen Leitner

We present the Evolved Grasping Analysis Dataset (EGAD), comprising over 2000 generated objects aimed at training and evaluating robotic visual grasp detection algorithms. The obje…

cs.RO20202 cited

Control of the Final-Phase of Closed-Loop Visual Grasping using Image-Based Visual Servoing

Jesse Haviland, Feras Dayoub, Peter Corke

This paper considers the final approach phase of visual-closed-loop grasping where the RGB-D camera is no longer able to provide valid depth information. Many current robotic grasp…