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20202026
most citedWhole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning

19 citations · 40 across the 5 of their papers we have counts for

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Showing cs.ROShow all

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.RO2026

Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization

Samuele Centanni, Yuhao Zhang, Yifu Tao +8

Automated progress monitoring on construction sites is an active area of research and development. Robot and human-carried mapping systems have been developed to build 3D maps of b…

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.RO2020★ 19 cited

Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning

Julien Kindle, Fadri Furrer, Tonci Novkovic +3

Mobile manipulation is usually achieved by sequentially executing base and manipulator movements. This simplification, however, leads to a loss in efficiency and in some cases a re…