10 citations · 29 across the 6 of their papers we have counts for
6 papers
KeyCLD: Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images
Rembert Daems, Jeroen Taets, Francis wyffels +1
We present KeyCLD, a framework to learn Lagrangian dynamics from images. Learned keypoints represent semantic landmarks in images and can directly represent state dynamics. We show…
Learning Keypoints from Synthetic Data for Robotic Cloth Folding
Thomas Lips, Victor-Louis De Gusseme, Francis wyffels
Robotic cloth manipulation is challenging due to its deformability, which makes determining its full state infeasible. However, for cloth folding, it suffices to know the position…
Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
Alexander Vandesompele, Gabriel Urbain, Francis wyffels +1
Compliant robots can be more versatile than traditional robots, but their control is more complex. The dynamics of compliant bodies can however be turned into an advantage using th…
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot
Gabriel Urbain, Victor Barasuol, Claudio Semini +2
Advances in legged robotics are strongly rooted in animal observations. A clear illustration of this claim is the generalization of Central Pattern Generators (CPG), first identifi…
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave, Michiel Hermans, Joni Dambre +1
An important field in robotics is the optimization of controllers. Currently, robots are often treated as a black box in this optimization process, which is the reason why derivati…
Building ArtBots to Attract Students into STEM Learning
Francis wyffels, Willem Van de Steene, Jelle Roets +2
There is an increasing worldwide demand for people educated into science and technology. Unfortunately, girls and underprivileged students are often underrepresented in Science, Te…