Guided Curriculum Learning for Walking Over Complex Terrain. - Brendan Tidd; Nicolas Hudson; Akansel Cosgun (CoRR, 2020)

Passing Through Narrow Gaps with Deep Reinforcement Learning. - Brendan Tidd; Akansel Cosgun; Jürgen Leitner; Nicolas Hudson (IROS, 2021)

Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts. - Brendan Tidd; Akansel Cosgun; Jürgen Leitner; Nicolas Hudson (IROS, 2021)

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. - Krishan Rana; Ming Xu 015; Brendan Tidd; Michael Milford; Niko Sünderhauf (CoRL, 2022)

Multi-modal User Interface for Multi-robot Control in Underground Environments. - Shengkang Chen; Matthew Joseph O'Brien; Fletcher Talbot; Jason Williams 002; Brendan Tidd; Alex Pitt; Ronald C. Arkin (IROS, 2022)

Learning Setup Policies: Reliable Transition Between Locomotion Behaviours. - Brendan Tidd; Nicolas Hudson; Akansel Cosgun; Jürgen Leitner (IEEE Robotics Autom. Lett., 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 002; Thomas Hines; Alex Pitt; Brett Wood; Dennis Frousheger; Katrina Lo Surdo; Thomas Molnar; Ryan Steindl; Matt Wildie; et al. (Field Robotics, 2022)

Learning Visuo-Motor Behaviours for Robot Locomotion Over Difficult Terrain. - Brendan Tidd (CoRR, 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)

Demonstrating Event-Triggered Investigation and Sample Collection for Human Scientists using Field Robots and Large Foundation Models. - Tirthankar Bandyopadhyay; Fletcher Talbot; Callum Bennie; Hashini Senaratne; Xun Li; Brendan Tidd; Mingze Xi; Jan Stiefel; Volkan Dedeoglu; Rod Taylor; Tea Molnar; Ziwei Wang; et al. (Robotics: Science and Systems, 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 001; Alex Pitt; Fletcher Talbot; Jason Williams 002; David Howard 001; Pavan Sikka; Hashini Senaratne (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)

M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning. - Kaushik Roy 008; Akila Dissanayake; Brendan Tidd; Peyman Moghadam (CoRR, 2024)

Whole-Body Dynamic Throwing with Legged Manipulators. - Humphrey Munn; Brendan Tidd; David Howard; Marcus Gallagher (CoRR, 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 002; Brendan Tidd; Fletcher Talbot; Ryan Steindl; Mark Cox; Dennis Frousheger; Thomas Hines; Alex Pitt; Benjamin Tam; Brett Wood; Lauren Hanson; et al. (Field Robotics, 2024)

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 002; David Howard 001; Brendan Tidd; Fletcher Talbot; Brett Wood; Alex Pitt; Navinda Kottege; Dana Kulic (ACM Trans. Hum. Robot Interact., 2025)

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations. - Yifei Chen; Yuzhe Zhang; Giovanni D'urso; Nicholas Lawrance 001; Brendan Tidd (CoRR, 2025)

Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning. - Md. Mostafizur Rahman Komol; Brendan Tidd; Will Browne; Frédéric Maire; Jason Williams 002; Gerard David Howard (IEEE Robotics Autom. Lett., 2025)