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Ishita Prasad

3 accepted papers

2025

DexterityGen: Foundation Controller for Unprecedented Dexterity

RSS 2025poster

Teaching robots dexterous manipulation skills, such as tool use, presents a significant challenge. Current approaches can be broadly categorized into two strategies: human teleoperation (for imitation learning) and sim-to-real reinforcement learning. The first approach is difficult as it is hard fo…

Cited by 9PDFScholar
2025

LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D

ICML 2025spotlight

We present LOCATE 3D, a model for localizing objects in 3D scenes from referring expressions like "the small coffee table between the sofa and the lamp." LOCATE 3D sets a new state-of-the-art on standard referential grounding benchmarks and showcases robust generalization capabilities. Notably, LOCA…

Cited by 0SourcePDFScholar
2025

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

ICLR 2025poster

We present a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration (PARTNR) designed to study human-robot coordination in household activities. PARTNR tasks exhibit characteristics of everyday tasks, such as spatial, temporal, and heterogeneous agent capability constraints. We empl…