activity
20242026
most citedVLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models

Shaunak A. Mehta, Ananya Hazarika, Haochen Zhang +5

For robots to operate reliably in real-world environments, they need to perceive their surroundings, act, and reason about the consequences of those actions. Rapid progress in the…

cs.RO2026

FAST-EQA: Efficient Embodied Question Answering with Global and Local Region Relevancy

Haochen Zhang, Nirav Savaliya, Faizan Siddiqui +1

Embodied Question Answering (EQA) combines visual scene understanding, goal-directed exploration, spatial and temporal reasoning under partial observability. A central challenge is…

cs.CV2025

SORT3D: Spatial Object-centric Reasoning Toolbox for Zero-Shot 3D Grounding Using Large Language Models

Nader Zantout, Haochen Zhang, Pujith Kachana +4

Interpreting object-referential language and grounding objects in 3D with spatial relations and attributes is essential for robots operating alongside humans. However, this task is…

cs.CV2025

IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes

Haochen Zhang, Nader Zantout, Pujith Kachana +2

With the recent rise of large language models, vision-language models, and other general foundation models, there is growing potential for multimodal, multi-task robotics that can…

cs.RO2024★ 2 cited

VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation

Haochen Zhang, Nader Zantout, Pujith Kachana +3

With the recent rise of Large Language Models (LLMs), Vision-Language Models (VLMs), and other general foundation models, there is growing potential for multimodal, multi-task embo…