Matthew McTaggart
Matthew McTaggart
Lead Robotics Engineer, Cancer and Aging Research Program
Verified email at qut.edu.au
Title
Cited by
Cited by
Year
Cartman: The low-cost cartesian manipulator that won the amazon robotics challenge
D Morrison, AW Tow, M Mctaggart, R Smith, N Kelly-Boxall, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 7757-7764, 2018
672018
Semantic segmentation from limited training data
A Milan, T Pham, K Vijay, D Morrison, AW Tow, L Liu, J Erskine, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 1908-1915, 2018
322018
Design of a multi-modal end-effector and grasping system: How integrated design helped win the amazon robotics challenge
S Wade-McCue, N Kelly-Boxall, M McTaggart, D Morrison, AW Tow, ...
arXiv preprint arXiv:1710.01439, 2017
72017
Mechanical design of a cartesian manipulator for warehouse pick and place
M McTaggart, D Morrison, AW Tow, R Smith, N Kelly-Boxall, A Milan, ...
arXiv preprint arXiv:1710.00967, 2017
72017
Designing Cartman: A Cartesian Manipulator for the Amazon Robotics Challenge 2017
J Leitner, D Morrison, A Milan, N Kelly-Boxall, M McTaggart, AW Tow, ...
Advances on Robotic Item Picking, 125-148, 2020
2020
Design of a Multi-Modal End-Effector and Grasping System
S Wade-McCue, N Kelly-Boxall, M McTaggart, D Morrison, AW Tow, ...
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Articles 1–6