activity
20182020
most citedBenchmarking Simulated Robotic Manipulation through a Real World Dataset

28 citations · 37 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO20209 cited

Traversing the Reality Gap via Simulator Tuning

Jack Collins, Ross Brown, Jurgen Leitner +1

The large demand for simulated data has made the reality gap a problem on the forefront of robotics. We propose a method to traverse the gap by tuning available simulation paramete…

cs.RO201928 cited

Benchmarking Simulated Robotic Manipulation through a Real World Dataset

Jack Collins, Jessie McVicar, David Wedlock +3

We present a benchmark to facilitate simulated manipulation; an attempt to overcome the obstacles of physical benchmarks through the distribution of a real world, ground truth data…

cs.RO2019

Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design

Jack Collins, Ben Cottier, David Howard

We compare two representations used to define the morphology of legs for a hexapod robot, which are subsequently 3D printed. A leg morphology occupies a set of voxels in a voxel gr…

cs.RO2018

Quantifying the Reality Gap in Robotic Manipulation Tasks

Jack Collins, David Howard, Jürgen Leitner

We quantify the accuracy of various simulators compared to a real world robotic reaching and interaction task. Simulators are used in robotics to design solutions for real world ha…

cs.RO2018

Towards the Targeted Environment-Specific Evolution of Robot Components

Jack Collins, Wade Geles, David Howard +1

This research considers the task of evolving the physical structure of a robot to enhance its performance in various environments, which is a significant problem in the field of Ev…