Guido de Croon

Orcid: 0000-0001-8265-1496

Affiliations:
  • Delft University of Technology, Micro Air Vehicle Laboratory, The Netherlands


According to our database1, Guido de Croon authored at least 141 papers between 2004 and 2024.

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Bibliography

2024
End-to-end neural network based optimal quadcopter control.
Robotics Auton. Syst., February, 2024

TDE-3: An improved prior for optical flow computation in spiking neural networks.
CoRR, 2024

MAVRL: Learn to Fly in Cluttered Environments with Varying Speed.
CoRR, 2024

2023
Three-dimensional relative localization and synchronized movement with wireless ranging.
Swarm Intell., June, 2023

Cross-disciplinary approaches for designing intelligent swarms of drones.
Swarm Intell., June, 2023

Real-Time Nonlinear Control Allocation Framework for Vehicles with Highly Nonlinear Effectors Subject to Saturation.
J. Intell. Robotic Syst., 2023

End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight.
CoRR, 2023

Unified incremental nonlinear controller for the transition control of a hybrid dual-axis tilting rotor quad-plane.
CoRR, 2023

Evolving Spiking Neural Networks to Mimic PID Control for Autonomous Blimps.
CoRR, 2023

Optimality Principles in Spacecraft Neural Guidance and Control.
CoRR, 2023

Guidance & Control Networks for Time-Optimal Quadcopter Flight.
CoRR, 2023

An Adaptive Control Strategy for Neural Network based Optimal Quadcopter Controllers.
CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Fully neuromorphic vision and control for autonomous drone flight.
CoRR, 2023

AOSoar: Autonomous Orographic Soaring of a Micro Air Vehicle.
IROS, 2023

AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Autonomous Control for Orographic Soaring of Fixed-Wing UAVs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Neuromorphic Control using Input-Weighted Threshold Adaptation.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
The sensing, state-estimation, and control behind the winning entry to the 2019 Artificial Intelligence Robotic Racing Competition.
Field Robotics, March, 2022

Efficient Bang-Bang Model Predictive Control for Quadcopters.
Unmanned Syst., 2022

Position Controller for a Flapping-Wing Drone Using UWB.
Unmanned Syst., 2022

Insect-inspired AI for autonomous robots.
Sci. Robotics, 2022

Battle the Wind: Improving Flight Stability of a Flapping Wing Micro Air Vehicle Under Wind Disturbance With Onboard Thermistor-Based Airflow Sensing.
IEEE Robotics Autom. Lett., 2022

How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Neuromorphic computing for attitude estimation onboard quadrotors.
Neuromorph. Comput. Eng., 2022

Embodied airflow sensing for improved in-gust flight of flapping wing MAVs.
Frontiers Robotics AI, 2022

Flying Into the Wind: Insects and Bio-Inspired Micro-Air-Vehicles With a Wing-Stroke Dihedral Steer Passively Into Wind-Gusts.
Frontiers Robotics AI, 2022

Lightweight Event-based Optical Flow Estimation via Iterative Deblurring.
CoRR, 2022

CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry.
CoRR, 2022

Evolving-to-Learn Reinforcement Learning Tasks with Spiking Neural Networks.
CoRR, 2022

A Novel Multi-vision Sensor Dataset for Insect-Inspired Outdoor Autonomous Navigation.
Proceedings of the Biomimetic and Biohybrid Systems - 11th International Conference, 2022

An Experimental Study of Wind Resistance and Power Consumption in MAVs with a Low-Speed Multi-Fan Wind System.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Self-supervised Monocular Multi-robot Relative Localization with Efficient Deep Neural Networks.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

A Novel Obstacle Detection and Avoidance Dataset for Drones.
Proceedings of the DroneSE and RAPIDO '22: System Engineering for constrained embedded systems, Budapest Hungary, January 17, 2022

A toolbox for neuromorphic perception in robotics.
Proceedings of the 8th International Conference on Event-Based Control, 2022

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
A Computationally Efficient Moving Horizon Estimator for Ultra-Wideband Localization on Small Quadrotors.
IEEE Robotics Autom. Lett., October, 2021

FAITH: Fast Iterative Half-Plane Focus of Expansion Estimation Using Optic Flow.
IEEE Robotics Autom. Lett., 2021

Learning fast in autonomous drone racing.
Nat. Mach. Intell., 2021

Enhancing optical-flow-based control by learning visual appearance cues for flying robots.
Nat. Mach. Intell., 2021

The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition.
CoRR, 2021

Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes.
CoRR, 2021

A model-based framework for learning transparent swarm behaviors.
CoRR, 2021

FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flow.
CoRR, 2021

CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers.
CoRR, 2021

EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Obstacle Avoidance onboard MAVs using a FMCW Radar.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Stereo Visual Inertial Odometry for Robots with Limited Computational Resources.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

CNN-based Ego-Motion Estimation for Fast MAV Maneuve.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Neuromorphic control for optic-flow-based landing of MAVs using the Loihi processor.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Tailless Flapping Wing MAV Performing Monocular Visual Servoing Tasks.
Unmanned Syst., 2020

Flapping wing drones show off their skills.
Sci. Robotics, 2020

Evolution of robust high speed optical-flow-based landing for autonomous MAVs.
Robotics Auton. Syst., 2020

Autonomous drone race: A computationally efficient vision-based navigation and control strategy.
Robotics Auton. Syst., 2020

Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs.
IEEE Robotics Autom. Lett., 2020

Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Visual model-predictive localization for computationally efficient autonomous racing of a 72-g drone.
J. Field Robotics, 2020

A Survey on Swarming With Micro Air Vehicles: Fundamental Challenges and Constraints.
Frontiers Robotics AI, 2020

Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor.
CoRR, 2020

An autonomous swarm of micro flying robots with range-based relative localization.
CoRR, 2020

Online trajectory planning and control of a MAV payload system in dynamic environments.
Auton. Robots, 2020

On-board range-based relative localization for micro air vehicles in indoor leader-follower flight.
Auton. Robots, 2020

Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
The PageRank algorithm as a method to optimize swarm behavior through local analysis.
Swarm Intell., 2019

Provable self-organizing pattern formation by a swarm of robots with limited knowledge.
Swarm Intell., 2019

Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment.
Sci. Robotics, 2019

A comparative study of bug algorithms for robot navigation.
Robotics Auton. Syst., 2019

Unsupervised Tuning of Filter Parameters Without Ground-Truth Applied to Aerial Robots.
IEEE Robotics Autom. Lett., 2019

Challenges and implemented technologies used in autonomous drone racing.
Intell. Serv. Robotics, 2019

Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller.
CoRR, 2019

Visual Model-predictive Localization for Computationally Efficient Autonomous Racing of a 72-gram Drone.
CoRR, 2019

How Do Neural Networks See Depth in Single Images?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Quadrotor Thrust Vectoring Control with Time and Jerk Optimal Trajectory Planning in Constant Wind Fields.
Unmanned Syst., 2018

Visual Homing for Micro Aerial Vehicles Using Scene Familiarity.
Unmanned Syst., 2018

Adaptive Gain Control Strategy for Constant Optical Flow Divergence Landing.
IEEE Trans. Robotics, 2018

Optical-flow based self-supervised learning of obstacle appearance applied to MAV landing.
Robotics Auton. Syst., 2018

Stability-Based Scale Estimation for Monocular SLAM.
IEEE Robotics Autom. Lett., 2018

Vertical landing for micro air vehicles using event-based optical flow.
J. Field Robotics, 2018

Learning what is above and what is below: horizon approach to monocular obstacle detection.
CoRR, 2018

On-board Range-based Relative Localization for Micro Aerial Vehicles in indoor Leader-Follower Flight.
CoRR, 2018

Provable Emergent Pattern Formation by a Swarm of Anonymous, Homogeneous, Non-Communicating, Reactive Robots with Limited Relative Sensing and no Global Knowledge or Positioning.
CoRR, 2018

Incremental control and guidance of hybrid aircraft applied to the Cyclone tailsitter UAV.
CoRR, 2018

On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams.
Auton. Robots, 2018

Challenges of Autonomous Flight in Indoor Environments.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

First Autonomous Multi-Room Exploration with an Insect-Inspired Flapping Wing Vehicle.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Fusion of Stereo and Still Monocular Depth Estimates in a Self-Supervised Learning Context.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Optimization of Swarm Behavior Assisted by an Automatic Local Proof for a Pattern Formation Task.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017
Obstacle Avoidance Strategy using Onboard Stereo Vision on a Flapping Wing MAV.
IEEE Trans. Robotics, 2017

Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone.
IEEE Robotics Autom. Lett., 2017

Self-supervised learning: When is fusion of the primary and secondary sensor cue useful?
CoRR, 2017

Cascaded Incremental Nonlinear Dynamic Inversion Control for MAV Disturbance Rejection.
CoRR, 2017

Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics.
Artif. Life, 2017

Towards autonomous navigation of multiple pocket-drones in real-world environments.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Efficient Global Indoor Localization for Micro Aerial Vehicles.
CoRR, 2016

First free-flight flow visualisation of a flapping-wing robot.
CoRR, 2016

Adaptive Control Strategy for Constant Optical Flow Divergence Landing.
CoRR, 2016

Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance.
CoRR, 2016

On-board Bluetooth-based Relative Localization for Collision Avoidance in Micro Air Vehicle Swarms.
CoRR, 2016

Behavior Trees for Evolutionary Robotics.
Artif. Life, 2016

Abstraction as a Mechanism to Cross the Reality Gap in Evolutionary Robotics.
Proceedings of the From Animals to Animats 14, 2016

Gust disturbance alleviation with Incremental Nonlinear Dynamic Inversion.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

A novel online model-based wind estimation approach for quadrotor micro air vehicles using low cost MEMS IMUs.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Performance evaluation in obstacle avoidance.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Self-supervised monocular distance learning on a lightweight micro air vehicle.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Free flight force estimation of a 23.5 g flapping wing MAV using an on-board IMU.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Controlling spacecraft landings with constantly and exponentially decreasing time-to-contact.
IEEE Trans. Aerosp. Electron. Syst., 2015

Distance estimation with efference copies and optical flow maneuvers: a stability-based strategy.
CoRR, 2015

Optical flow for self-supervised learning of obstacle appearance.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Attitude and altitude estimation and control on board a Flapping Wing Micro Air Vehicle.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
An evolutionary robotics approach for the distributed control of satellite formations.
Evol. Intell., 2014

Behaviour Trees for Evolutionary Robotics.
CoRR, 2014

Crowdsourcing as a methodology to obtain large and varied robotic data sets.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Autonomous flight of a 20-gram Flapping Wing MAV with a 4-gram onboard stereo vision system.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Evolutionary robotics approach to odor source localization.
Neurocomputing, 2013

ACT-CORNER: Active corner finding for optic flow determination.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Search for a grand tour of the jupiter galilean moons.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
The Appearance Variation Cue for Obstacle Avoidance.
IEEE Trans. Robotics, 2012

Sub-sampling: Real-time vision for micro air vehicles.
Robotics Auton. Syst., 2012

2011
Adaptive Gaze Control for Object Detection.
Cogn. Comput., 2011

2010
The appearance variation cue for obstacle avoidance.
Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, 2010

2009
Comparing active vision models.
Image Vis. Comput., 2009

2007
Active object detection.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Sensory-motor Coordination in Object Detection.
Proceedings of the First IEEE Symposium on Artificial Life, 2007

2006
A situated model for sensory-motor coordination in gaze control.
Pattern Recognit. Lett., 2006

2005
Sensory-Motor Coordination in Gaze Control.
Proceedings of the Applications of Evolutionary Computing, 2005

Timing is important: delaying action execution in Plastic Neural Networks.
Proceedings of the BNAIC 2005, 2005

A Situated Model of Active Vision.
Proceedings of the BNAIC 2005, 2005

2004
Macroscopic analysis of robot foraging behaviour.
Connect. Sci., 2004

Multi-modal Information Retrieval Using FINT.
Proceedings of the Multilingual Information Access for Text, 2004

FINT: Find Images aNd Text.
Proceedings of the Working Notes for CLEF 2004 Workshop co-located with the 8th European Conference on Digital Libraries (ECDL 2004), 2004


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