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20172026
most citedSuMa++: Efficient LiDAR-based Semantic SLAM

501 citations · 1k across the 52 of their papers we have counts for

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cs.RO2026

Improving Map Consistency in Graph-Based LiDAR SLAM Through Information-Aware Odometry and Retroactive Loop Closure

Saurabh Gupta, Niklas Trekel, Louis Wiesmann +1

High-quality maps are fundamental for robotics tasks such as navigation and planning. Although modern graph-based LiDAR SLAM systems achieve good trajectory accuracies, a low traje…

cs.RO2026

LiPS: Lightweight Panoptic Segmentation for Resource-Constrained Robotics

Calvin Galagain, Martyna Poreba, François Goulette +1

Panoptic segmentation is a key enabler for robotic perception, as it unifies semantic understanding with object-level reasoning. However, the increasing complexity of state-of-the-…

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.RO2026

Loop Closure via Maximal Cliques in 3D LiDAR-Based SLAM

Javier Laserna, Saurabh Gupta, Oscar Martinez Mozos +2

Reliable loop closure detection remains a critical challenge in 3D LiDAR-based SLAM, especially under sensor noise, environmental ambiguity, and viewpoint variation conditions. RAN…

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…