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20182026
most citedSuMa++: Efficient LiDAR-based Semantic SLAM

501 citations · 935 across the 17 of their papers we have counts for

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18 papers · 1 filter

cs.RO2026

DigiForest: Digital Analytics and Robotics for Sustainable Forestry

Marco Camurri, Enrico Tomelleri, Matías Mattamala +18

Covering one third of Earth's land surface, forests are vital to global biodiversity, climate regulation, and human well-being. In Europe, forests and woodlands reach approximately…

cs.RO20262 cited

SAHA: Supervised Autonomous HArvester for selective forest thinning

Fang Nan, Meher Malladi, Qingqing Li +7

Forestry plays a vital role in our society, creating significant ecological, economic, and recreational value. Efficient forest management involves labor-intensive and complex oper…

cs.RO2025

Dynamic Visual SLAM using a General 3D Prior

Xingguang Zhong, Liren Jin, Marija Popović +2

Reliable incremental estimation of camera poses and 3D reconstruction is key to enable various applications including robotics, interactive visualization, and augmented reality. Ho…

cs.RO2025

Globally Consistent RGB-D SLAM with 2D Gaussian Splatting

Xingguang Zhong, Yue Pan, Liren Jin +3

Recently, 3D Gaussian splatting-based RGB-D SLAM displays remarkable performance of high-fidelity 3D reconstruction. However, the lack of depth rendering consistency and efficient…

cs.RO2025

Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation

Haofei Kuang, Yue Pan, Xingguang Zhong +3

Globally localizing a mobile robot in a known map is often a foundation for enabling robots to navigate and operate autonomously. In indoor environments, traditional Monte Carlo lo…

cs.RO2025

PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map

Yue Pan, Xingguang Zhong, Liren Jin +4

Robots benefit from high-fidelity reconstructions of their environment, which should be geometrically accurate and photorealistic to support downstream tasks. While this can be ach…