output
20142025
most citedRTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation

976 citations

13 papers

quant-ph20251 cited

Towards a Cryogenic CMOS-Memristor Neural Decoder for Quantum Error Correction

Pierre-Antoine Mouny, Maher Benhouria, Victor Yon +6

This paper presents a novel approach utilizing a scalable neural decoder application-specific integrated circuit (ASIC) based on metal oxide memristors in a 180nm CMOS technology.…

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…

eess.SP202417 cited

Laser driven miniature diamond implant for wireless retinal prostheses

Arman Ahnood, Ross Cheriton, Anne Bruneau +8

The design and benchtop operation of a wireless miniature epiretinal stimulator implant is reported. The implant is optically powered and controlled using safe illumination at near…

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.RO202228 cited

A Lightweight Force-Controllable Wearable Arm Based on Magnetorheological-Hydrostatic Actuators

Catherine Véronneau, Jeff Denis, Louis-Philippe Lebel +3

Supernumerary Robotic Limbs (SRLs) are wearable robots augmenting human capabilities by acting as a co-worker, reaching objects, support human arms, etc. However, existing SRLs lac…

physics.app-ph2021

Multi-terminal memristive devices enabling tunable synaptic plasticity in neuromorphic hardware: a mini-review

Yann Beilliard, Fabien Alibart

Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, s…