Rana, Krishan

5 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

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