output
20182026
most citedThe Hilti SLAM Challenge Dataset

117 citations

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5 papers · 1 filter

cs.RO2026

Tripody: An Overconstrained 3-SPR-like Parallel Robot for High-Reach Construction Tasks

Julien Kindle, Jakub Raczy, Riccardo Balbi +3

Many ceiling construction tasks still rely on heavy serial manipulators that are difficult to deploy in cluttered interiors, motivating lightweight, field-ready alternatives that r…

cs.RO2025★ 4 cited

Enhancing Robotic Precision in Construction: A Modular Factor Graph-Based Framework to Deflection and Backlash Compensation Using High-Accuracy Accelerometers

Julien Kindle, Michael Loetscher, Andrea Alessandretti +2

Accurate positioning is crucial in the construction industry, where labor shortages highlight the need for automation. Robotic systems with long kinematic chains are required to re…

cs.RO2024★ 17 cited

Hilti SLAM Challenge 2023: Benchmarking Single + Multi-session SLAM across Sensor Constellations in Construction

Ashish Devadas Nair, Julien Kindle, Plamen Levchev +1

Simultaneous Localization and Mapping systems are a key enabler for positioning in both handheld and robotic applications. The Hilti SLAM Challenges organized over the past years h…

cs.RO2022★ 88 cited

Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping

Lintong Zhang, Michael Helmberger, Lanke Frank Tarimo Fu +4

Simultaneous Localization and Mapping (SLAM) is being deployed in real-world applications, however many state-of-the-art solutions still struggle in many common scenarios. A key ne…

cs.RO2021★ 117 cited

The Hilti SLAM Challenge Dataset

Michael Helmberger, Kristian Morin, Beda Berner +3

Research in Simultaneous Localization and Mapping (SLAM) has made outstanding progress over the past years. SLAM systems are nowadays transitioning from academic to real world appl…