300 citations · 948 across the 43 of their papers we have counts for
6 papers · 1 filter
Small Celestial Body Exploration with CubeSat Swarms
Emmanuel Blazquez, Dario Izzo, Francesco Biscani +2
This work presents a large-scale simulation study investigating the deployment and operation of distributed swarms of CubeSats for interplanetary missions to small celestial bodies…
Optimality Principles in Spacecraft Neural Guidance and Control
Dario Izzo, Emmanuel Blazquez, Robin Ferede +3
Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the m…
Guidance & Control Networks for Time-Optimal Quadcopter Flight
Sebastien Origer, Christophe De Wagter, Robin Ferede +2
Reaching fast and autonomous flight requires computationally efficient and robust algorithms. To this end, we train Guidance & Control Networks to approximate optimal control polic…
End-to-end Neural Network Based Quadcopter control
Robin Ferede, Guido C. H. E. de Croon, Christophe De Wagter +1
Developing optimal controllers for aggressive high-speed quadcopter flight poses significant challenges in robotics. Recent trends in the field involve utilizing neural network con…
Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles
Shuo Li, Ekin Ozturk, Christophe De Wagter +2
Optimal control holds great potential to improve a variety of robotic applications. The application of optimal control on-board limited platforms has been severely hindered by the…
Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance
Kevin van Hecke, Guido de Croon, Laurens van der Maaten +2
Self-Supervised Learning (SSL) is a reliable learning mechanism in which a robot uses an original, trusted sensor cue for training to recognize an additional, complementary sensor…