Christophe De Wagter

Orcid: 0000-0002-6795-8454

According to our database1, Christophe De Wagter authored at least 55 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Editorial - Special Issue on Advancing Micro Air Vehicle Technologies: Selected Papers from IMAV 2022.
Unmanned Syst., May, 2024

Improving the Computational Efficiency of ROVIO.
Unmanned Syst., May, 2024

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

Optimality principles in spacecraft neural guidance and control.
Sci. Robotics, 2024

Visual route following for tiny autonomous robots.
Sci. Robotics, 2024

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

End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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

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

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

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

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

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

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

2020
Design and Testing of a Vertical Take-Off and Landing UAV Optimized for Carrying a Hydrogen Fuel Cell with a Pressure Tank.
Unmanned Syst., 2020

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

The NederDrone: A hybrid lift, hybrid energy hydrogen UAV.
CoRR, 2020

Fault Tolerant Control of Multirotor UAV for Piloted Outdoor Flights.
CoRR, 2020

An autonomous swarm of micro flying robots with range-based relative localization.
CoRR, 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
Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment.
Sci. Robotics, 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

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

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

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

Design, control, and visual navigation of the DelftaCopter VTOL tail-sitter UAV.
J. Field Robotics, 2018

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

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

Design, Control and Visual Navigation of the DelftaCopter.
CoRR, 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
First free-flight flow visualisation of a flapping-wing robot.
CoRR, 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

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
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
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

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

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


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