Alok Raj — accepted AI-conference papers

2026

GRIM: Task-Oriented Grasping with Conditioning on Generative Examples

Shailesh Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Michael Beetz +1

AAAI 2026technical

Task-Oriented Grasping (TOG) presents a significant challenge, requiring a nuanced understanding of task semantics, object affordances, and the functional constraints dictating how an object should be grasped for a specific task. To address these challenges, we introduce GRIM (Grasp Re-alignment via

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2025

Search-TTA: A Multi-Modal Test-Time Adaptation Framework for Visual Search in the Wild

Derek Ming Siang Tan, Shailesh, Boyang Liu, Alok Raj, Qi Xuan Ang, Weiheng Dai +5

CoRL 2025poster

To perform autonomous visual search for environmental monitoring, a robot may leverage satellite imagery as a prior map. This can help inform coarse, high level search and exploration strategies, even when such images lack sufficient resolution to allow fine-grained, explicit visual recognition of t…

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