output
20022024
most citedPractical Bayesian Optimization of Machine Learning Algorithms

5.7k citations

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7 papers · 1 filter

cs.RO20244 cited

Influence Vectors Control for Robots Using Cellular-like Binary Actuators

Alexandre Girard, Jean-Sébastien Plante

Robots using cellular-like redundant binary actuators could outmatch electric-gearmotor robotic systems in terms of reliability, force-to-weight ratio and cost. This paper presents…

cs.RO202478 cited

Memory Management for Real-Time Appearance-Based Loop Closure Detection

Mathieu Labbé, François Michaud

Loop closure detection is the process involved when trying to find a match between the current and a previously visited locations in SLAM. Over time, the amount of time required to…

cs.RO2024381 cited

Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM

Mathieu Labbe, François Michaud

For large-scale and long-term simultaneous localization and mapping (SLAM), a robot has to deal with unknown initial positioning caused by either the kidnapped robot problem or mul…

cs.RO2024377 cited

Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation

Mathieu Labbé, François Michaud

In appearance-based localization and mapping, loop closure detection is the process used to determinate if the current observation comes from a previously visited location or a new…

cs.RO2024976 cited

RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation

Mathieu Labbé, François Michaud

Distributed as an open source library since 2013, RTAB-Map started as an appearance-based loop closure detection approach with memory management to deal with large-scale and long-t…

cs.RO20228 cited

Low-Level Force-Control of MR-Hydrostatic Actuators

Jeff Denis, Jean-Sebastien Plante, Alexandre Girard

Precise and high-fidelity force control is critical for new generations of robots that interact with humans and unknown environments. Mobile robots, such as wearable devices and le…