Brendan Tidd
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robotic Locomotion and Control, Robotic Path Planning Algorithms, Robot Manipulation and Learning, Human Pose and Action Recognition
Most-Cited Works
- → Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review(2022)100 cited
- → Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge(2022)95 cited
- → Multi-modal User Interface for Multi-robot Control in Underground Environments(2022)10 cited
- → Heterogeneous Robot Teams with Unified Perception and Autonomy: How Team CSIRO Data61 Tied for the Top Score at the DARPA Subterranean Challenge(2024)8 cited
- → Guided Curriculum Learning for Walking Over Complex Terrain(2020)8 cited
- → Passing Through Narrow Gaps with Deep Reinforcement Learning(2021)7 cited
- → Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics(2022)5 cited
- → Learning Setup Policies: Reliable Transition Between Locomotion Behaviours(2022)5 cited
- → Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts(2021)5 cited