Author

Manikantan Nambi

2 papers indexed here

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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