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20212026
most citedUnderstanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning

2 citations · 5 across the 7 of their papers we have counts for

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cs.CV2024★ 2 cited

Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning

Zeqing Zhang, Guangze Zheng, Xuebo Ji +6

Granular materials (GMs) are ubiquitous in daily life. Understanding their properties is also important, especially in agriculture and industry. However, existing works require ded…

cs.RO2024

A Haptic-Based Proximity Sensing System for Buried Object in Granular Material

Zeqing Zhang, Ruixing Jia, Youcan Yan +5

The proximity perception of objects in granular materials is significant, especially for applications like minesweeping. However, due to particles' opacity and complex properties,…

cs.CV2024★ 2 cited

EROAM: Event-based Camera Rotational Odometry and Mapping in Real-time

Wanli Xing, Shijie Lin, Linhan Yang +6

This paper presents EROAM, a novel event-based rotational odometry and mapping system that achieves real-time, accurate camera rotation estimation. Unlike existing approaches that…

cs.RO2024

NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning

Ruihua Han, Shuai Wang, Shuaijun Wang +8

Navigating a nonholonomic robot in a cluttered, unknown environment requires accurate perception and precise motion control for real-time collision avoidance. This paper presents N…

cs.RO2024

CafkNet: GNN-Empowered Forward Kinematic Modeling for Cable-Driven Parallel Robots

Zeqing Zhang, Linhan Yang, Cong Sun +2

Cable-driven parallel robots (CDPRs) have gained significant attention due to their promising advantages. When deploying CDPRs in practice, the kinematic modeling is a key question…