Pengxiang Ding

Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model

Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denosing Diffusion Process

Openhelix: Empirical Analysis of Dual-System VLA Models for Robotic Manipulation

Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning

VLA-RFT: Vision-Language-Action Reinforcement Fine-Tuning with Verified Rewards in World Simulators

CEED-VLA: Consistency Vision-language-action Model with Early-exit Decoding

Enhancing Adversarial Transferability via Component-Wise Transformation

SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning

VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation

Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport

Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation

GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation

ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning