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Niraj Pudasaini

1 paper here

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  • cs.RO1

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3 papers · 1 filter

cs.RO2025

H2-COMPACT: Human-Humanoid Co-Manipulation via Adaptive Contact Trajectory Policies

Geeta Chandra Raju Bethala, Hao Huang, Niraj Pudasaini +5

We present a hierarchical policy-learning framework that enables a legged humanoid to cooperatively carry extended loads with a human partner using only haptic cues for intent infe…

cs.RO2025

Humanoid Agent via Embodied Chain-of-Action Reasoning with Multimodal Foundation Models for Zero-Shot Loco-Manipulation

Congcong Wen, Geeta Chandra Raju Bethala, Yu Hao +8

Humanoid loco-manipulation, which integrates whole-body locomotion with dexterous manipulation, remains a fundamental challenge in robotics. Beyond whole-body coordination and bala…

cs.RO2024

SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms

Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique

Optimizing Deep Learning-based Simultaneous Localization and Mapping (DL-SLAM) algorithms is essential for efficient implementation on resource-constrained embedded platforms, enab…

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