Joshua Campbell — accepted AI-conference papers

2024

The Grasp Reset Mechanism: An Automated Apparatus for Conducting Grasping Trials

Kyle DuFrene, Keegan Nave, Joshua Campbell, Ravi Balasubramanian, Cindy Grimm

ICRA 2024poster

Advancing robotic grasping and manipulation requires the ability to test algorithms and/or train learning models on large numbers of grasps. Towards the goal of more advanced grasping, we present the Grasp Reset Mechanism (GRM), a fully automated apparatus for conducting large-scale grasping trials.…

Cited by 3 Source ↗Scholar ↗

2022

Benchmarking a Robot Hand's Ability to Translate Objects Using Two Fingers

John Morrow, Joshua Campbell, Ravi Balasubramanian, Cindy Grimm

RA-L 2022

This letter presents a novel benchmark called the Asterisk Test that characterizes a hand’s ability to translate an object on a table in eight linear directions using only two fingers. The benchmark is agnostic to the controller, object, and robot hand used. The benchmark also enables a measure of t

Cited by 3 Source ↗Scholar ↗