activity
20222026
most citedStudent Dangerous Behavior Detection in School

3 citations · 9 across the 18 of their papers we have counts for

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9 papers · 1 filter

cs.RO2026

Praxis: Distilling Physical Interaction Priors from Egocentric Videos for Generalizable Whole-Body Manipulation

Shuliang He, Ruiyan Xu, Bo Yue +5

Mobile humanoid manipulation requires both reaching a usable workspace and preserving precise hand-object interactions as object poses and contact conditions change. Learning these…

cs.RO2026

Navi-Agent: Unlocalized Monocular Navigation Agent

Wenyuan Xie, Mengyang Hong, Yongzhong Wang +9

Vision-Language Navigation in Continuous Environments (VLN-CE) requires an embodied agent to execute long-horizon instructions in unknown environments. Existing zero-shot VLN-CE sy…

cs.RO2026

Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning

Huayi Zhou, Wei Gao, Dekun Lu +12

End-to-end manipulation policies, combined with web-scale pretrained Vision-Language Models (VLMs), show the promise for generalizable and dexterous robotic manipulation. However,…

cs.RO2026

From Reaction to Anticipation: Proactive Failure Recovery through Agentic Task Graph for Robotic Manipulation

Sheng Xu, Ruixing Jin, Huayi Zhou +6

Although robotic manipulation has made significant progress, reliable execution remains challenging because task failures are inevitable in dynamic and unstructured environments. T…

cs.RO2025

One-Shot Real-World Demonstration Synthesis for Scalable Bimanual Manipulation

Huayi Zhou, Kui Jia

Learning dexterous bimanual manipulation policies critically depends on large-scale, high-quality demonstrations, yet current paradigms face inherent trade-offs: teleoperation prov…

cs.RO2025

VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation

Huayi Zhou, Kui Jia

Achieving generalizable bimanual manipulation requires systems that can learn efficiently from minimal human input while adapting to real-world uncertainties and diverse embodiment…

cs.RO2025

BiNoMaP: Learning Category-Level Bimanual Non-Prehensile Manipulation Primitives

Huayi Zhou, Kui Jia

Non-prehensile manipulation, encompassing ungraspable actions such as pushing, poking, pivoting, and wrapping, remains underexplored due to its contact-rich and analytically intrac…

cs.RO2025

GAT-Grasp: Gesture-Driven Affordance Transfer for Task-Aware Robotic Grasping

Ruixiang Wang, Huayi Zhou, Xinyue Yao +2

Achieving precise and generalizable grasping across diverse objects and environments is essential for intelligent and collaborative robotic systems. However, existing approaches of…

cs.RO2025

You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations

Huayi Zhou, Ruixiang Wang, Yunxin Tai +3

Bimanual robotic manipulation is a long-standing challenge of embodied intelligence due to its characteristics of dual-arm spatial-temporal coordination and high-dimensional action…