activity
20232025
most citedRGBGrasp: Image-based Object Grasping by Capturing Multiple Views during Robot Arm Movement with Neural Radiance Fields

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping

Mingxu Zhang, Xiaoqi Li, Jiahui Xu +5

Recent advancements in 3D robotic manipulation have improved grasping of everyday objects, but transparent and specular materials remain challenging due to depth sensing limitation…

cs.CV2025★ 1 cited

TransDiff: Diffusion-Based Method for Manipulating Transparent Objects Using a Single RGB-D Image

Haoxiao Wang, Kaichen Zhou, Binrui Gu +6

Manipulating transparent objects presents significant challenges due to the complexities introduced by their reflection and refraction properties, which considerably hinder the acc…

cs.CV2024

RAD: A Realistic Multi-View Benchmark for Pose-Agnostic Anomaly Detection

Kaichen Zhou, Xinhai Chang, Taewhan Kim +8

Anomaly detection is essential for robotic perception and industrial inspection, yet most benchmarks are collected under controlled conditions with fixed viewpoints and stable illu…

cs.RO2024★ 1 cited

TARGO: Benchmarking Target-driven Object Grasping under Occlusions

Yan Xia, Ran Ding, Ziyuan Qin +5

Recent advances in predicting 6D grasp poses from a single depth image have led to promising performance in robotic grasping. However, previous grasping models face challenges in c…

cs.RO2024

SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network

Yuxuan Wan, Kaichen Zhou, jinhong Chen +1

Autonomous assembly in robotics and 3D vision presents significant challenges, particularly in ensuring assembly correctness. Presently, predominant methods such as MEPNet focus on…

cs.RO2023★ 2 cited

RGBGrasp: Image-based Object Grasping by Capturing Multiple Views during Robot Arm Movement with Neural Radiance Fields

Chang Liu, Kejian Shi, Kaichen Zhou +3

Robotic research encounters a significant hurdle when it comes to the intricate task of grasping objects that come in various shapes, materials, and textures. Unlike many prior inv…