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Brendan Tidd
Brendan Tidd
Research Scientist, robotics and autonomous systems group, CSIRO
Verified email at data61.csiro.au
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Cited by
Year
Heterogeneous ground and air platforms, homogeneous sensing: Team CSIRO Data61's approach to the DARPA subterranean challenge
N Hudson, F Talbot, M Cox, J Williams, T Hines, A Pitt, B Wood, ...
arXiv preprint arXiv:2104.09053, 2021
802021
Robotic vision for human-robot interaction and collaboration: A survey and systematic review
N Robinson, B Tidd, D Campbell, D Kulić, P Corke
ACM Transactions on Human-Robot Interaction 12 (1), 1-66, 2023
252023
Residual skill policies: Learning an adaptable skill-based action space for reinforcement learning for robotics
K Rana, M Xu, B Tidd, M Milford, N Sünderhauf
Conference on Robot Learning, 2095-2104, 2023
132023
Guided curriculum learning for walking over complex terrain
B Tidd, N Hudson, A Cosgun
The proceedings of the Australasian Conference on Robotics and Automation …, 2020
132020
Passing Through Narrow Gaps with Deep Reinforcement Learning
B Tidd, A Cosgun, J Leitner, N Hudson
In proceedings of IEEE/RSJ International Conference on Intelligent Robots …, 2021
92021
Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts
B Tidd, N Hudson, A Cosgun, J Leitner
In proceedings of IEEE/RSJ International Conference on Intelligent Robots …, 2021
62021
Multi-modal user interface for multi-robot control in underground environments
S Chen, MJ O'Brien, F Talbot, J Williams, B Tidd, A Pitt, RC Arkin
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
52022
Heterogeneous robot teams with unified perception and autonomy: How Team CSIRO Data61 tied for the top score at the DARPA Subterranean Challenge
N Kottege, J Williams, B Tidd, F Talbot, R Steindl, M Cox, D Frousheger, ...
arXiv preprint arXiv:2302.13230, 2023
42023
Bruce: An ASV solution for the 2016 maritime RobotX challenge
L Stanislas, P Smith, B Tidd, P Kujala, S Nicholson, A Dawson, R Lamont, ...
Proc. RobotX Forum, 2016
42016
Learning setup policies: Reliable transition between locomotion behaviours
B Tidd, N Hudson, A Cosgun, J Leitner
IEEE Robotics and Automation Letters 7 (4), 11958-11965, 2022
32022
Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration
C Bennie, B Casey, C Paris, D Kulic, B Tidd, N Lawrance, A Pitt, F Talbot, ...
arXiv preprint arXiv:2401.13903, 2024
2024
Learning visuo-motor behaviours for robot locomotion over difficult terrain
B Tidd
arXiv preprint arXiv:2303.01634, 2023
2023
Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge
N Robinson, J Williams, D Howard, B Tidd, F Talbot, B Wood, A Pitt, ...
arXiv preprint arXiv:2212.05626, 2022
2022
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