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20242026
most citedContinuous-Time State Estimation Methods in Robotics: A Survey

4 citations · 17 across the 16 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.RO2025

CaRLi-V: Camera-RADAR-LiDAR Point-Wise 3D Velocity Estimation

Landson Guo, Andres M. Diaz Aguilar, William Talbot +3

Accurate point-wise velocity estimation in 3D is crucial for robot interaction with non-rigid dynamic agents, enabling robust performance in path planning, collision avoidance, and…

cs.RO2025★ 2 cited

Large Scale Robotic Material Handling: Learning, Planning, and Control

Filippo A. Spinelli, Yifan Zhai, Fang Nan +6

Bulk material handling involves the efficient and precise moving of large quantities of materials, a core operation in many industries, including cargo ship unloading, waste sortin…

cs.RO2025

CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments

Shehryar Khattak, Timon Homberger, Lukas Bernreiter +5

Robot autonomy in unknown, GPS-denied, and complex underground environments requires real-time, robust, and accurate onboard pose estimation and mapping for reliable operations. Th…

cs.RO2025

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation

Pascal Roth, Jonas Frey, Cesar Cadena +1

Ensuring safe navigation in complex environments requires accurate real-time traversability assessment and understanding of environmental interactions relative to the robot`s capab…

cs.RO2025

Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics

Jonas Frey, Turcan Tuna, Lanke Frank Tarimo Fu +8

Achieving robust autonomy in mobile robots operating in complex and unstructured environments requires a multimodal sensor suite capable of capturing diverse and complementary info…

cs.RO2025★ 2 cited

Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs

Julian Nubert, Turcan Tuna, Jonas Frey +4

Seamless operation of mobile robots in challenging environments requires low-latency local motion estimation and accurate global localization. While most sensor-fusion approaches a…

cs.CV2025

ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images

Yanqing Shen, Turcan Tuna, Marco Hutter +2

Place recognition is essential to maintain global consistency in large-scale localization systems. While research in urban environments has progressed significantly using LiDARs or…