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From the 1 of 9 linked papers with an AI index.

most citedRobobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain

1 citations · 1 across the 4 of their papers we have counts for

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9 papers

cs.RO2026

DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter

Xukun Li, Yu Sun, Lei Zhang +10

The paper introduces DECO, a diffusion‑based transformer that separately processes vision, proprioception, and tactile inputs for bimanual dexterous robot manipulation, and include…

cs.CV2026

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios

Juntao Cheng, Wanyue Zhang, Zhiwei Yu +7

Tangible control interfaces (TCIs), such as appliance panels, remotes, elevators, and embedded GUIs, are a fundamental component of everyday human-built environments. Interacting w…

cs.RO20261 cited

Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain

Yulin Luo, Chun-Kai Fan, Menghang Dong +19

Building robots that can perceive, reason, and act in dynamic, unstructured environments remains a central challenge. Recent embodied systems often follow a dual-system paradigm, w…

cs.RO2026

LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models

Rongxu Cui, Zongzheng Zhang, Jingrui Pang +11

Despite the impressive manipulation capabilities of Vision-Language-Action (VLA) models, their operational safety under strict constraints remains largely unverified. To address th…

cs.RO2026

RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation

Shihan Wu, Xuecheng Liu, Shaoxuan Xie +81

Despite the critical role of bimanual manipulation in endowing robots with human-like dexterity, large-scale and diverse datasets remain scarce due to the significant hardware hete…

cs.RO2026

Scaling World Model for Hierarchical Manipulation Policies

Qian Long, Yueze Wang, Jiaxi Song +13

Vision-Language-Action (VLA) models are promising for generalist robot manipulation but remain brittle in out-of-distribution (OOD) settings, especially with limited real-robot dat…