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cs.RO2026

SpikeGrasp: A Benchmark for 6-DoF Grasp Pose Detection from Stereo Spike Streams

Zhuoheng Gao, Jiyao Zhang, Zhiyong Xie +5

Most robotic grasping systems rely on converting sensor data into explicit 3D point clouds, which is a computational step not found in biological intelligence. This paper explores…

cs.RO2026

CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes

Jiyao Zhang, Zhiyuan Ma, Tianhao Wu +2

Dexterous grasping in cluttered environments presents substantial challenges due to the high degrees of freedom of dexterous hands, occlusion, and potential collisions arising from…

cs.RO2025

CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model

Zhuoyuan Yu, Yuxing Long, Zihan Yang +4

Existing vision-and-language navigation models often deviate from the correct trajectory when executing instructions. However, these models lack effective error correction capabili…

cs.RO2025

Foundation Feature-Driven Online End-Effector Pose Estimation: A Marker-Free and Learning-Free Approach

Tianshu Wu, Jiyao Zhang, Shiqian Liang +2

Accurate transformation estimation between camera space and robot space is essential. Traditional methods using markers for hand-eye calibration require offline image collection, l…

cs.RO2025

OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints

Mingjie Pan, Jiyao Zhang, Tianshu Wu +3

The development of general robotic systems capable of manipulating in unstructured environments is a significant challenge. While Vision-Language Models(VLM) excel in high-level co…