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Thomas Rowntree
Thomas Rowntree
Machine Learning Engineer, The University of Adelaide
Verified email at adelaide.edu.au
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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
1742018
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
622018
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
172017
Autonomy and perception for space mining
R Sachdeva, R Hammond, J Bockman, A Arthur, B Smart, D Craggs, ...
2022 International Conference on Robotics and Automation (ICRA), 4087-4093, 2022
62022
Recurrent motion neural network for low resolution drone detection
H Pratt, B Evans, T Rowntree, I Reid, S Wiederman
2020 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2020
12020
Real-time human gaze estimation
T Rowntree, C Pontecorvo, I Reid
2019 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2019
12019
Practical Robot Learning from Demonstrations using Deep End-to-End Training
A Cosgun, T Rowntree, I Reid, T Drummond
arXiv preprint arXiv:1905.09025, 2019
12019
Design of a multi-modal end-effector and grasping system
S Wade-McCue, N Kelly-Boxall, M McTaggart, D Morrison, AW Tow, ...
Amazon Robotics Challenge, 2017
12017
Robotic Vision for Space Mining
R Sachdeva, R Hammond, J Bockman, A Arthur, B Smart, D Craggs, ...
arXiv preprint arXiv:2109.12109, 2021
2021
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