activity
20232026
most citedUni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback

3 citations · 6 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

G0.5: One Autoregressive Stream for Robot Reasoning and Action

Yicheng Liu, Zibin Dong, Baijun Ye +24

The prevailing recipe for Vision-Language-Action (VLA) models couples a pretrained VLM with a separately trained flow-matching action expert. This makes the VLM a context encoder r…

cs.RO2026

Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models

Yifu Yuan, Yaoting Huang, Xianze Yao +20

We introduce Embodied-R1.5, a unified Embodied Foundation Model (EFM) that integrates comprehensive embodied reasoning capabilities, spanning embodied cognition, task planning, cor…

cs.RO2026

ActionCodec: What Makes for Good Action Tokenizers

Zibin Dong, Yicheng Liu, Shiduo Zhang +8

Vision-Language-Action (VLA) models leveraging the native autoregressive paradigm of Vision-Language Models (VLMs) have demonstrated superior instruction-following and training eff…

cs.RO2025

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

Yifu Yuan, Haiqin Cui, Yaoting Huang +7

Generalization in embodied AI is hindered by the "seeing-to-doing gap," which stems from data scarcity and embodiment heterogeneity. To address this, we pioneer "pointing" as a uni…

cs.RO2025

Conditioning Matters: Training Diffusion Policies is Faster Than You Think

Zibin Dong, Yicheng Liu, Yinchuan Li +2

Diffusion policies have emerged as a mainstream paradigm for building vision-language-action (VLA) models. Although they demonstrate strong robot control capabilities, their traini…

cs.RO2025

EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation

Zibin Dong, Fei Ni, Yifu Yuan +2

We present EmbodiedMAE, a unified 3D multi-modal representation for robot manipulation. Current approaches suffer from significant domain gaps between training datasets and robot m…

cs.RO2025

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

Yifu Yuan, Haiqin Cui, Yibin Chen +7

Achieving generalization in robotic manipulation remains a critical challenge, particularly for unseen scenarios and novel tasks. Current Vision-Language-Action (VLA) models, while…