Search Results for author: Guido de Croon

Found 13 papers, 6 papers with code

Direct learning of home vector direction for insect-inspired robot navigation

no code implementations6 May 2024 Michiel Firlefyn, Jesse Hagenaars, Guido de Croon

Drawing inspiration from the learning flights of honey bees and wasps, we propose a robot navigation method that directly learns the home vector direction from visual percepts during a learning flight in the vicinity of the nest.

Navigate Robot Navigation

NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

1 code implementation10 Apr 2023 Jason Yik, Korneel Van den Berghe, Douwe den Blanken, Younes Bouhadjar, Maxime Fabre, Paul Hueber, Denis Kleyko, Noah Pacik-Nelson, Pao-Sheng Vincent Sun, Guangzhi Tang, Shenqi Wang, Biyan Zhou, Soikat Hasan Ahmed, George Vathakkattil Joseph, Benedetto Leto, Aurora Micheli, Anurag Kumar Mishra, Gregor Lenz, Tao Sun, Zergham Ahmed, Mahmoud Akl, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Petrut Bogdan, Sander Bohte, Sonia Buckley, Gert Cauwenberghs, Elisabetta Chicca, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Tobias Fischer, Jeremy Forest, Vittorio Fra, Steve Furber, P. Michael Furlong, William Gilpin, Aditya Gilra, Hector A. Gonzalez, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Yao-Hong Liu, Shih-Chii Liu, Haoyuan Ma, Rajit Manohar, Josep Maria Margarit-Taulé, Christian Mayr, Konstantinos Michmizos, Dylan Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Priyadarshini Panda, Jongkil Park, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Alessandro Pierro, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Samuel Schmidgall, Catherine Schuman, Jae-sun Seo, Sadique Sheik, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Matthew Stewart, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Jonathan Timcheck, Nergis Tömen, Gianvito Urgese, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

The NeuroBench framework introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent (algorithm track) and hardware-dependent (system track) settings.


Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp

1 code implementation1 Oct 2021 Marina González-Álvarez, Julien Dupeyroux, Federico Corradi, Guido de Croon

Robotic airships offer significant advantages in terms of safety, mobility, and extended flight times.

The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition

no code implementations30 Sep 2021 Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth, Guido de Croon

Robotics is the next frontier in the progress of Artificial Intelligence (AI), as the real world in which robots operate represents an enormous, complex, continuous state space with inherent real-time requirements.

Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors

1 code implementation21 Sep 2021 Stein Stroobants, Julien Dupeyroux, Guido de Croon

In this paper, we propose a parsimonious and adjustable neuromorphic PID controller, endowed with a minimal number of 93 neurons sparsely connected to achieve autonomous, onboard altitude control of a quadrotor equipped with Intel's Loihi neuromorphic chip.

Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes

1 code implementation24 Jun 2021 Benjamin Keltjens, Tom van Dijk, Guido de Croon

Our experiments show that depth estimation is substantially improved on low-texture scenes, without any loss on textured scenes, when compared to Monodepth by Godard et al. Secondly, we show that training with an application's representative rotations, in both pitch and roll, is sufficient to significantly improve performance over the entire range of expected rotation.

Image Reconstruction Monocular Depth Estimation +1

Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks

no code implementations NeurIPS 2021 Jesse Hagenaars, Federico Paredes-Vallés, Guido de Croon

We focus on the complex task of learning to estimate optical flow from event-based camera inputs in a self-supervised manner, and modify the state-of-the-art ANN training pipeline to encode minimal temporal information in its inputs.

Event-based Optical Flow Optical Flow Estimation +1

A toolbox for neuromorphic sensing in robotics

2 code implementations3 Mar 2021 Julien Dupeyroux, Stein Stroobants, Guido de Croon

This initiative is meant to stimulate and facilitate robotic integration of neuromorphic AI, with the opportunity to adapt traditional off-the-shelf sensors to spiking neural nets within one of the most powerful robotic tools, ROS.

FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flow

1 code implementation25 Feb 2021 Raoul Dinaux, Nikhil Wessendorp, Julien Dupeyroux, Guido de Croon

This is achieved by means of an event-based camera, along with a fast RANSAC-based algorithm that uses event-based OF to determine the FOE.

Autonomous Navigation Computational Efficiency

Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor

no code implementations1 Nov 2020 Julien Dupeyroux, Jesse Hagenaars, Federico Paredes-Vallés, Guido de Croon

However, a major challenge for using such processors on robotic platforms is the reality gap between simulation and the real world.

Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance

no code implementations25 Mar 2016 Kevin van Hecke, Guido de Croon, Laurens van der Maaten, Daniel Hennes, Dario Izzo

We study this persistent form of SSL in the context of a flying robot that has to avoid obstacles based on distance estimates from the visual cue of stereo vision.


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