Syed Talha Bukhari — accepted AI-conference papers

2026

Variational Shape Inference for Grasp Diffusion on $\mathrm{SE(3)}$

Syed Talha Bukhari, Kaivalya Agrawal, Zachary Kingston, Aniket Bera

RA-L 2026

Grasp synthesis is a fundamental task in robotic manipulation which usually has multiple feasible solutions. Multimodal grasp synthesis seeks to generate diverse sets of stable grasps conditioned on object geometry, making the robust learning of geometric features crucial for success. To address thi

Cited by 1 Source ↗code ↗Scholar ↗

2025

Differentiable Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments

Syed Talha Bukhari, Daniel Lawson, Ahmed H. Qureshi

ICRA 2025

Neural Signed Distance Fields (SDFs) provide a differentiable environment representation to readily obtain collision checks and well-defined gradients for robot navigation tasks. However, updating neural SDFs as the scene evolves entails re-training, which is tedious, time consuming, and inefficient

Cited by 6 Source ↗code ↗Scholar ↗