Suenderhauf, Niko

7 publications

CoRL 2025 Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames Krishan Rana, Jad Abou-Chakra, Sourav Garg, Robert Lee, Ian Reid, Niko Suenderhauf

ECCV 2024 Open-Set Recognition in the Age of Vision-Language Models Dimity Miller, Niko Suenderhauf, Alex Kenna, Keita Mason

CoRL 2024 Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Suenderhauf

CoRL 2023 SayPlan: Grounding Large Language Models Using 3D Scene Graphs for Scalable Robot Task Planning Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, Niko Suenderhauf

CoRL 2023 SayPlan: Grounding Large Language Models Using 3D Scene Graphs for Scalable Robot Task Planning Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, Niko Suenderhauf

CoRL 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 Suenderhauf

WACV 2020 Probabilistic Object Detection: Definition and Evaluation David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Suenderhauf