Jad Abou-Chakra

Hi there! I am currently pursuing a PhD at the QUT Centre for Robotics where I specialize in embodied intelligence. My current research is dedicated to creating a real-time, physical representation of the world.

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Research

Physically Embodied Gaussian Splatting: Embedding Physical Priors into a Visual 3D World Model For Robotics

Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Suenderhauf

Webpage • Paper

Affordance-Centric Policy Decomposition: Sample-Efficient Robot Policy Learning for Long-Horizon Manipulation

Krishan Rana, Jad Abou-Chakra, Sourav Garg, Robert Lee, Ian Reid, Niko Suenderhauf

Website

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Open X-Embodiment Worldwide Collaboration
★ Best Paper, ICRA24 ★

Webpage • GitHub • Paper • Datasets • Blog Post

ParticleNeRF: Particle based encoding for online neural radiance fields in dynamic scenes

Jad Abou-Chakra, Feras Dayoub, Niko Suenderhauf
★ Best Paper Honorable Mention, WACV ★

Webpage • Paper • GitHub

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
★ Oral Presentation, CoRL ★

Webpage • Paper • Video

Learning Fabric Manipulation in the Real World with Human Videos

Robert Lee, Jad Abou-Chakra, Fangyi Zhang, Peter Corke
ICRA 2024

Webpage • Dataset • Paper

Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields

Niko Suenderhauf, Jad Abou-Chakra, Dimity Miller
ICRA 2023

Paper

Implicit Object Reconstruction With Noisy Data

Jad Abou-Chakra, Feras Dayoub, Niko Suenderhauf
IMRSS 2022 Workshop

Dataset • Paper