Tony Pipe — accepted AI-conference papers

2021

Automated Extraction of 3D Printed Parts From Unfused PA12 Powder Using a One-Shot 3D Printed Compliant Gripper

Jordan Cormack, Mohammad Fotouhi, Guy Adams, Tony Pipe

RA-L 2021

Automated individual part extraction from powder based 3D printers has the potential to save time and cost compared with fully manual part extraction, or part sorting following automated bulk separation of parts and unfused powder. This work details the development of a novel one-shot 3D printed com

Cited by 5 Source ↗Scholar ↗

2020

Planning Maximum-Manipulability Cutting Paths

Tommaso Pardi, Valerio Ortenzi, Colin Fairbairn, Tony Pipe, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin

RA-L 2020

This letter 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 points. The robot has no prior knowledge of the surface shape, but observes it from a noisy point cloud. We consider the mul

Cited by 23 Source ↗Scholar ↗