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20212026
most citedBoundary-aware Transformers for Skin Lesion Segmentation

136 citations · 136 across the 16 of their papers we have counts for

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12 papers · 1 filter

cs.RO2026

RefGuard: Identity-Aware Language-Guided Robot Manipulation via Joint Target-Anchor-Frame Grounding

Lan Wei, Kangyi Lu, Yongchen Wang +5

Vision-language-action (VLA) models have substantially advanced language-guided robot manipulation, yet reliable execution still hinges on identifying which physical object an inst…

cs.RO2026

Bridging Semantics and Physics with Constrained LLMs for Safe and Trustworthy Robotic Manipulation

Wenhao Hong, Lan Wei, Dandan Zhang

A language-guided robot operating in a real kitchen must do more than produce a plan that appears correct. It must also execute that plan safely in cluttered environments under imp…

cs.RO2026

A Closed-Loop Multi-Agent Framework for Robust Multi-Robot Manipulation

Yi-Xiang He, Lan Wei, Haoming Cen +6

Multi-robot systems provide the parallelism and redundancy necessary for long-horizon tasks, while Large Language Models (LLMs) offer the reasoning capabilities to decompose these…

cs.RO2026

TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search

Mohammed AbuSadeh, Lan Wei, Dandan Zhang

Vision-based tactile sensing converts contact-induced surface deformation into images, enabling robots to infer contact forces and fine surface textures that are not accessible thr…

cs.RO2026

TacVerse: A Multi-Sensor Dataset and Benchmark for Cross-Sensor Vision-Based Tactile Perception

Lan Wei, Gurmeher Khurana, Sirine Bhouri +6

Vision-based tactile sensors (VBTSs) enable robots to infer contact geometry and force-related cues by imaging deformation through an internal camera, yet generalisation across sen…

cs.RO2026

Task Editing for Generalizable 3D Visuomotor Policy Learning

Jian-Jian Jiang, YiHan Yang, Lan Wei +6

3D visuomotor policies offer a promising direction for complex robotic manipulation, as depth maps and point clouds provide rich geometric information for spatial reasoning. Howeve…

cs.RO2026

Mag-VLA: Vision-Language-Action Model for Bimanual Magnetically Actuated Microrobot Manipulation

Yongchen Wang, Kangyi Lu, Lan Wei +1

Magnetically actuated microrobots have been used as wireless, non-contact manipulation tools at microscales, making them promising for minimally invasive applications. However, the…

cs.RO2026

A Digital Twin Framework for Virtual Visuo-Haptic Teleoperation of Complex-Shaped Optical Microrobots

Zongcai Tan, Lan Wei, Dandan Zhang

Optical tweezers (OT) provide piconewton-scale manipulation for delicate biomedical tasks, where visuo-haptic feedback can improve operator awareness by conveying interaction-force…

cs.RO2026

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation

Lan Wei, Zongcai Tan, Kangyi Lu +2

Optical microrobots actuated by optical tweezers (OT) are important for cell manipulation and microscale assembly, but their autonomous operation depends on accurate 3D perception.…

cs.RO2026

Micro-Dexterity in Biological Micromanipulation: Embodiment, Perception, and Control

Kangyi Lu, Lan Wei, Zongcai Tan +1

Microscale manipulation has advanced substantially in controlled locomotion and targeted transport, yet many biomedical applications require precise and adaptive interaction with b…

cs.RO2026

TactEx: An Explainable Multimodal Robotic Interaction Framework for Human-Like Touch and Hardness Estimation

Felix Verstraete, Lan Wei, Wen Fan +1

Accurate perception of object hardness is essential for safe and dexterous contact-rich robotic manipulation. Here, we present TactEx, an explainable multimodal robotic interaction…

cs.RO2025

Physics-Informed Machine Learning with Adaptive Grids for Optical Microrobot Depth Estimation

Lan Wei, Lou Genoud, Dandan Zhang

Optical microrobots actuated by optical tweezers (OT) offer great potential for biomedical applications such as cell manipulation and microscale assembly. These tasks demand accura…