Author

Manikantan Nambi

3 papers indexed here

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#machine learning Feb 2026

Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning

ARMOR achieves state-of-the-art performance by improving over the previous approaches by improving over the previous approaches by up to 30% on failure detection rate and up to 100% in reasoning measured through LLM fuzzy match score, demonstrating robustness to heterogeneous supervision and open-ended reasoning beyond...

Carl Qi, Xiaojie Wang, Si-Long Yong et al. · arXiv.org · 10 citations

Conference Aug 2026

Learning Multi-Step Manipulation Using Symmetry-Aware Reinforcement Learning

While many existing grasping models can be highly reliable in picking objects in most cases, challenging scenarios persist in industrial automation where objects are difficult to grasp—such as when positioned in corners, occluded by other items, or tightly clustered. These challenges are prevalent in smart manufacturin...

Hai V. Nguyen, Hui-Tan Mao, Manikantan Nambi · 2026 IEEE 22nd International... · 0 citations

#machine learning Preprint Oct 2026

HULK: Learning Whole-Body Forceful Loco-Manipulation for Humanoids

Humanoid loco-manipulation of large, heavy objects demands forceful interaction across the entire body. However, such payloads shift a humanoid's center of mass and impose sustained loads across the upper body, challenging balance and command tracking. We present HULK, a whole-body control framework for forceful loco-m...

An Dang, Arturo Flores Alvarez, Yu-Ming Chen et al. · 0 citations