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20242026
most citedA Hybrid Controller Design for Human-Assistive Piloting of an Underactuated Blimp

4 citations · 6 across the 7 of their papers we have counts for

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9 papers · 1 filter

cs.RO2026

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping

Bingbing Zhang, Huan Yin, Yang Xu +4

Simultaneous localization and mapping using radar sensors has gained increasing attention due to radar's inherent robustness to adverse weather and lighting conditions. However, ra…

cs.RO2026

TacLoc: Global Tactile Localization on Objects from a Registration Perspective

Zirui Zhang, Boyang Zhang, Fumin Zhang +1

Pose estimation is essential for robotic manipulation, particularly when visual perception is occluded during gripper-object interactions. Existing tactile-based methods generally…

cs.RO2025

VIMS: A Visual-Inertial-Magnetic-Sonar SLAM System in Underwater Environments

Bingbing Zhang, Huan Yin, Shuo Liu +2

In this study, we present a novel simultaneous localization and mapping (SLAM) system, VIMS, designed for underwater navigation. Conventional visual-inertial state estimators encou…

cs.RO2025

Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps

Tianfu Wu, Jiaqi Fu, Wugang Meng +3

Formation control is essential for swarm robotics, enabling coordinated behavior in complex environments. In this paper, we introduce a novel formation control system for an indoor…

cs.RO20252 cited

SLABIM: A SLAM-BIM Coupled Dataset in HKUST Main Building

Haoming Huang, Zhijian Qiao, Zehuan Yu +4

Existing indoor SLAM datasets primarily focus on robot sensing, often lacking building architectures. To address this gap, we design and construct the first dataset to couple the S…

cs.RO2024

BEINGS: Bayesian Embodied Image-goal Navigation with Gaussian Splatting

Wugang Meng, Tianfu Wu, Huan Yin +1

Image-goal navigation enables a robot to reach the location where a target image was captured, using visual cues for guidance. However, current methods either rely heavily on data…