Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics - Jad Abou-Chakra; Krishan Rana; Feras Dayoub; Niko Sünderhauf (Conference on Robot Learning, 6-9 November 2024, Munich, Germany, 2024)

Learning Fabric Manipulation in the Real World with Human Videos - Robert Lee; Jad Abou-Chakra; Fangyi Zhang; Peter Corke (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields - Jad Abou-Chakra; Feras Dayoub; Niko Sünderhauf (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics - Jad Abou-Chakra; Krishan Rana; Feras Dayoub; Niko Sünderhauf (CoRR, 2024)

Affordance-Centric Policy Learning: Sample Efficient and Generalisable Robot Policy Learning using Affordance-Centric Task Frames - Krishan Rana; Jad Abou-Chakra; Sourav Garg; Robert Lee; Ian D. Reid; Niko Sünderhauf (CoRR, 2024)

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning - Krishan Rana; Jesse Haviland; Sourav Garg; Jad Abou-Chakra; Ian D. Reid; Niko Sünderhauf (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields - Niko Sünderhauf; Jad Abou-Chakra; Dimity Miller (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning - Krishan Rana; Jesse Haviland; Sourav Garg; Jad Abou-Chakra; Ian D. Reid; Niko Sünderhauf (CoRR, 2023)

Implicit Object Mapping With Noisy Data - Jad Abou-Chakra; Feras Dayoub; Niko Sünderhauf (CoRR, 2022)

Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields - Niko Sünderhauf; Jad Abou-Chakra; Dimity Miller (CoRR, 2022)

Learning Fabric Manipulation in the Real World with Human Videos - Robert Lee; Jad Abou-Chakra; Fangyi Zhang; Peter Corke (CoRR, 2022)

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields in Dynamic Scenes - Jad Abou-Chakra; Feras Dayoub; Niko Sünderhauf (CoRR, 2022)