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20242026
most citedMulti-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation

1 citations · 2 across the 15 of their papers we have counts for

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cs.RO2025

SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation

Hao Shi, Bin Xie, Yingfei Liu +5

Robotic manipulation requires precise spatial understanding to interact with objects in the real world. Point-based methods suffer from sparse sampling, leading to the loss of fine…

cs.RO2025

Running VLAs at Real-time Speed

Yunchao Ma, Yizhuang Zhou, Yunhuan Yang +2

In this paper, we show how to run pi0-level multi-view VLA at 30Hz frame rate and at most 480Hz trajectory frequency using a single consumer GPU. This enables dynamic and real-time…

cs.RO2025

Dexbotic: Open-Source Vision-Language-Action Toolbox

Bin Xie, Erjin Zhou, Fan Jia +36

In this paper, we present Dexbotic, an open-source Vision-Language-Action (VLA) model toolbox based on PyTorch. It aims to provide a one-stop VLA research service for professionals…

cs.RO2025

MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation

Hao Shi, Bin Xie, Yingfei Liu +7

Temporal context is essential for robotic manipulation because such tasks are inherently non-Markovian, yet mainstream VLA models typically overlook it and struggle with long-horiz…

cs.RO2025

Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop

Tianxing Chen, Kaixuan Wang, Zhaohui Yang +96

Embodied Artificial Intelligence (Embodied AI) is an emerging frontier in robotics, driven by the need for autonomous systems that can perceive, reason, and act in complex physical…

cs.RO2025

ROSA: Harnessing Robot States for Vision-Language and Action Alignment

Yuqing Wen, Kefan Gu, Haoxuan Liu +4

Vision-Language-Action (VLA) models have recently made significant advance in multi-task, end-to-end robotic control, due to the strong generalization capabilities of Vision-Langua…

cs.CV2025

Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness

Haochen Wang, Yucheng Zhao, Tiancai Wang +3

The rapid development of Large Multimodal Models (LMMs) for 2D images and videos has spurred efforts to adapt these models for interpreting 3D scenes. However, the absence of large…

cs.RO2025

BFA: Best-Feature-Aware Fusion for Multi-View Fine-grained Manipulation

Zihan Lan, Weixin Mao, Haosheng Li +4

In real-world scenarios, multi-view cameras are typically employed for fine-grained manipulation tasks. Existing approaches (e.g., ACT) tend to treat multi-view features equally an…