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From the 1 of 7 linked papers with an AI index.

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7 papers

math.OC2026

SGHA: A Single-Loop Fully First-Order Algorithm for Nonconvex-Strongly-Convex Bilevel Optimization

Zhihao Gu, Qilong Wu, Junchi Yang

In this work, we study the oracle complexity of finding an -stationary point for nonconvex-strongly-convex (NC-SC) bilevel optimization using only first-order oracles. Existing…

cs.RO2026

VistaVLA: Geometry- and Semantic-Aware 3D Gaussian-Grounded VLA for Robotic Manipulation

Mohan Liu, Zhihao Gu, Xuanyu Chen +5

VistaVLA is a two-stage framework that builds a geometry- and semantic-aware 3D cognitive map using Gaussian primitives and compresses it into compact tokens for vision‑language‑ac…

cs.RO2026

Physics-Guided Biomechanical Gait Adaptation for Humanoid Locomotion on Extreme Sloped Terrains

Xuanyu Chen, Mohan Liu, Dengchen Mei +6

Model-free reinforcement learning has enabled impressive humanoid locomotion; however, control on steep slopes remains largely unexplored. Unlike flat or discrete terrains, sloped…

cs.RO2026

LiMoDE: Rethinking Lifelong Robot Manipulation from a Mixture-of-Dynamic-Experts Perspective

Zhihao Gu, Lin Wang

Building a generalist robot that can leverage prior knowledge for continuous task adaptation remains a significant challenge. Previous works alleviate the catastrophic forgetting p…

cs.RO2026

Physics-Informed Policy Optimization via Analytic Dynamics Regularization

Namai Chandra, Liu Mohan, Zhihao Gu +1

Reinforcement learning (RL) has achieved strong performance in robotic control; however, state-of-the-art policy learning methods, such as actor-critic methods, still suffer from h…

cs.RO2026

Learning Diffusion Policy from Primitive Skills for Robot Manipulation

Zhihao Gu, Ming Yang, Difan Zou +1

Diffusion policies (DP) have recently shown great promise for generating actions in robotic manipulation. However, existing approaches often rely on global instructions to produce…