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Francis Wyffels

Showing results (1-10 of 19) with videos related to

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Journal of the Royal Society, Interface|June 16, 2026
Decentralized neural dynamics and sensory constraints shape brittle star locomotionDries Marzougui, Dominique Adriaens, Francis Wyffels
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Feedback control by online learning an inverse modelTim Waegeman, Francis Wyffels, Francis Schrauwen
Frontiers in Neurorobotics|September 26, 2022
Effective cloth folding trajectories in simulation with only two parametersVictor-Louis De Gusseme, Francis Wyffels
Frontiers in Plant Science|March 13, 2024
Editorial: Plant sensing and computing - PlantComp 2022Michiel Stock, Tom De Swaef, Francis Wyffels
Frontiers in Neurorobotics|March 23, 2019
A Differentiable Physics Engine for Deep Learning in RoboticsJonas Degrave, Michiel Hermans, Joni Dambre, et al.
Ecology and Evolution|September 21, 2020
From leaf to label: A robust automated workflow for stomata detectionSofie Meeus, Jan Van den Bulcke, Francis Wyffels
Scientific Reports|July 22, 2022
Leveraging plant physiological dynamics using physical reservoir computingOlivier Pieters, Tom De Swaef, Michiel Stock, et al.
Frontiers in Plant Science|January 31, 2024
Plant science in the age of simulation intelligenceMichiel Stock, Olivier Pieters, Tom De Swaef, et al.
Journal of the Royal Society, Interface|May 6, 2025
Exploring the evolutionary adaptations of the unique seahorse tail's muscle architecture through <i>in silico</i> modelling and robotic prototypingDries Marzougui, Riddhi Das, Barbara Mazzolai, et al.
Frontiers in Neurorobotics|April 12, 2017
Morphological Properties of Mass-Spring Networks for Optimal Locomotion LearningGabriel Urbain, Jonas Degrave, Benonie Carette, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Journal of the Royal Society, Interface|June 16, 2026
Decentralized neural dynamics and sensory constraints shape brittle star locomotionDries Marzougui, Dominique Adriaens, Francis Wyffels
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Feedback control by online learning an inverse modelTim Waegeman, Francis Wyffels, Francis Schrauwen
Frontiers in Neurorobotics|September 26, 2022
Effective cloth folding trajectories in simulation with only two parametersVictor-Louis De Gusseme, Francis Wyffels
Frontiers in Plant Science|March 13, 2024
Editorial: Plant sensing and computing - PlantComp 2022Michiel Stock, Tom De Swaef, Francis Wyffels
Frontiers in Neurorobotics|March 23, 2019
A Differentiable Physics Engine for Deep Learning in RoboticsJonas Degrave, Michiel Hermans, Joni Dambre, et al.
Ecology and Evolution|September 21, 2020
From leaf to label: A robust automated workflow for stomata detectionSofie Meeus, Jan Van den Bulcke, Francis Wyffels
Scientific Reports|July 22, 2022
Leveraging plant physiological dynamics using physical reservoir computingOlivier Pieters, Tom De Swaef, Michiel Stock, et al.
Frontiers in Plant Science|January 31, 2024
Plant science in the age of simulation intelligenceMichiel Stock, Olivier Pieters, Tom De Swaef, et al.
Journal of the Royal Society, Interface|May 6, 2025
Exploring the evolutionary adaptations of the unique seahorse tail's muscle architecture through <i>in silico</i> modelling and robotic prototypingDries Marzougui, Riddhi Das, Barbara Mazzolai, et al.
Frontiers in Neurorobotics|April 12, 2017
Morphological Properties of Mass-Spring Networks for Optimal Locomotion LearningGabriel Urbain, Jonas Degrave, Benonie Carette, et al.
Pageof 2