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20232026
most citedGR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

7 citations · 9 across the 10 of their papers we have counts for

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11 papers · 1 filter

cs.RO2026

Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Corrections

Jiafeng Xu, Qi Li, Yan Shen +7

Learning generalist policies for robust bimanual manipulation is bottlenecked by the scarcity of high quality large scale human demonstration data. In this work, we release 1,500 h…

cs.RO2026

Mimir: A Neuro-Symbolic Memory System with Dynamic Grounding for Embodied Agents in Interactive Environments

Haoming Xu, Zhenlin He, Hengyi Wang +2

Long-horizon embodied task requires agents to act under partial observability while preserving both scene belief and execution progress. Flat histories or implicit policy states ma…

cs.RO2026

Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference

Zebin Yang, Qi Wang, Yunhe Wang +6

Vision-Language-Action (VLA) models have achieved impressive performance on diverse embodied tasks. However, deploying VLA models on low-power onboard devices, such as the Jetson O…

cs.RO20251 cited

GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation

Yunfei Li, Xiao Ma, Jiafeng Xu +18

We present GR-RL, a robotic learning framework that turns a generalist vision-language-action (VLA) policy into a highly capable specialist for long-horizon dexterous manipulation.…

cs.RO20251 cited

ByteWrist: A Parallel Robotic Wrist Enabling Flexible and Anthropomorphic Motion for Confined Spaces

Jiawen Tian, Liqun Huang, Zhongren Cui +4

This paper introduces ByteWrist, a novel highly-flexible and anthropomorphic parallel wrist for robotic manipulation. ByteWrist addresses the critical limitations of existing seria…

cs.RO2025

Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots

Minghuan Liu, Zhengbang Zhu, Xiaoshen Han +12

Modern robotic manipulation primarily relies on visual observations in a 2D color space for skill learning but suffers from poor generalization. In contrast, humans, living in a 3D…