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20242026
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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

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…

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

ActiveGS: Active Scene Reconstruction Using Gaussian Splatting

Liren Jin, Xingguang Zhong, Yue Pan +3

Robotics applications often rely on scene reconstructions to enable downstream tasks. In this work, we tackle the challenge of actively building an accurate map of an unknown scene…