Brendan Tidd

According to our database, Brendan Tidd authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Heterogeneous Robot Teams with Unified Perception and Autonomy: How Team CSIRO Data61 Tied for the Top Score at the DARPA Subterranean Challenge.

Navinda Kottege, Jason Williams, Brendan Tidd, Fletcher Talbot, Ryan Steindl, Mark Cox, Dennis Frousheger, Thomas Hines, Alex Pitt, Benjamin Tam, Brett Wood, Lauren Hanson, Katrina Lo Surdo, Thomas Molnar, Matt Wildie, Kazys Stepanas, Gavin Catt, Lachlan Tychsen-Smith, Dean Penfold, Leslie Overs, Milad Ramezani, Kasra Khosoussi, Farid Kendoul, Glenn Wagner, Duncan Palmer, Jack Manderson, Corey Medek, Matthew Joseph O'Brien, Shengkang Chen, Ronald Craig Arkin

Field Robotics, 2024

Whole-Body Dynamic Throwing with Legged Manipulators.

Humphrey Munn, Brendan Tidd, David Howard, Marcus Gallagher

CoRR, 2024

M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning.

Kaushik Roy, Akila Dissanayake, Brendan Tidd, Peyman Moghadam

CoRR, 2024

Shape-Space Deformer: Unified Visuo-Tactile Representations for Robotic Manipulation of Deformable Objects.

Sean M. V. Collins, Brendan Tidd, Mahsa Baktashmotlagh, Peyman Moghadam

CoRR, 2024

Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration.

Callum Bennie, Bridget Casey, Cécile Paris, Dana Kulic, Brendan Tidd, Nicholas Lawrance, Alex Pitt, Fletcher Talbot, Jason Williams, David Howard, Pavan Sikka, Hashini Senaratne

CoRR, 2024

2023

Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review.

Nicole L. Robinson, Brendan Tidd, Dylan Campbell, Dana Kulic, Peter Corke

ACM Trans. Hum. Robot Interact., 2023

Learning Visuo-Motor Behaviours for Robot Locomotion Over Difficult Terrain.

Brendan Tidd

CoRR, 2023

2022

Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge.

Nicolas Hudson, Fletcher Talbot, Mark Cox, Jason Williams, Thomas Hines, Alex Pitt, Brett Wood, Dennis Frousheger, Katrina Lo Surdo, Thomas Molnar, Ryan Steindl, Matt Wildie, Inkyu Sa, Navinda Kottege, Kazys Stepanas, Emili Hernández, Gavin Catt, William Docherty, Brendan Tidd, Benjamin Tam, Simon Murrell, Mitchell Bessell, Lauren Hanson, Lachlan Tychsen-Smith, Hajime Suzuki, Leslie Overs, Farid Kendoul, Glenn Wagner, Duncan Palmer, Peter Milani, Matthew Joseph O'Brien, Shu D. Jiang, Shengkang Chen, Ronald C. Arkin

Field Robotics, March, 2022

Learning Setup Policies: Reliable Transition Between Locomotion Behaviours.

Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jürgen Leitner

IEEE Robotics Autom. Lett., 2022

Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge.

Nicole L. Robinson, Jason Williams, David Howard, Brendan Tidd, Fletcher Talbot, Brett Wood, Alex Pitt, Navinda Kottege, Dana Kulic

CoRR, 2022

Multi-modal User Interface for Multi-robot Control in Underground Environments.

Shengkang Chen, Matthew Joseph O'Brien, Fletcher Talbot, Jason Williams, Brendan Tidd, Alex Pitt, Ronald C. Arkin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics.

Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf

Proceedings of the Conference on Robot Learning, 2022

2021

Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts.

Brendan Tidd, Akansel Cosgun, Jürgen Leitner, Nicolas Hudson

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Passing Through Narrow Gaps with Deep Reinforcement Learning.

Brendan Tidd, Akansel Cosgun, Jürgen Leitner, Nicolas Hudson

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Guided Curriculum Learning for Walking Over Complex Terrain.

Brendan Tidd, Nicolas Hudson, Akansel Cosgun

CoRR, 2020