activity
20142025
most citedEfficient Optical flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone

180 citations · 692 across the 42 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.AI2025

Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks

Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi +1

Neuromorphic computing systems are set to revolutionize energy-constrained robotics by achieving orders-of-magnitude efficiency gains, while enabling native temporal processing. Sp…

cs.RO2025

SkyDreamer: Interpretable End-to-End Vision-Based Drone Racing with Model-Based Reinforcement Learning

Aderik Verraest, Stavrow Bahnam, Robin Ferede +2

Autonomous drone racing (ADR) systems have recently achieved champion-level performance, yet remain highly specific to drone racing. While end-to-end vision-based methods promise b…

cs.RO2025

Whisker-based Tactile Flight for Tiny Drones

Chaoxiang Ye, Guido de Croon, Salua Hamaza

Tiny flying robots hold great potential for search-and-rescue, safety inspections, and environmental monitoring, but their small size and limited computational resources constrain…

cs.RO2025

Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation

Hang Yu, Christophe De Wagter, Guido C. H. E de Croon

Sim-to-real transfer is a fundamental challenge in robot reinforcement learning. Discrepancies between simulation and reality can significantly impair policy performance, especiall…

cs.RO2025

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling

Stavrow A. Bahnam, Christophe De Wagter, Guido C. H. E. de Croon

Ego-motion estimation is vital for drones when flying in GPS-denied environments. Vision-based methods struggle when flight speed increases and close-by objects lead to difficult v…

cs.RO2025

One Net to Rule Them All: Domain Randomization in Quadcopter Racing Across Different Platforms

Robin Ferede, Till Blaha, Erin Lucassen +2

In high-speed quadcopter racing, finding a single controller that works well across different platforms remains challenging. This work presents the first neural network controller…

cs.RO2025

Multi-objective Evolution of Drone Morphology

Elijah H. W. Ang, Christophe De Wagter, Guido C. H. E. de Croon

The design of multicopter drones has remained almost the same since its inception. While conventional designs, such as the quadcopter, work well in many cases, they may not be opti…