Supplementary data for the publication "Champion-Level Drone Racing using Deep Reinforcement Learning". racing_data.zip: The data includes the recorded position of human and autonomous drones during head-to-head races and time-trial runs. The included code provides plotting and statistical analysis of the data. pseudocode.zip: Pseudocode that illustrates gate detection, VIO drift estimation, policy training, and residual model identification
Supplementary Data for "Human-level performance in 3D multiplayer games with population-based reinfo...
This dataset is set for paper "A learning based algorithm for drone routing problem
Research on autonomous obstacle avoidance of drones has recently received widespread attention from ...
Drones are growing popular and so is the research within the field of autonomous drones. There are s...
This repository contains all data and code necessary to reproduce the experiments and figures in the...
Dynamically changing environments, unreliable state estimation, and operation under severe resource ...
This thesis explores the application of AI in the realm of autonomous racing drones. The racing ind...
Insect Inspired Self-Righting Drones Data accompanying the publication "Insect Inspired Self-Ri...
Dynamically changing environments, unreliable state estimation, and operation under severe resource ...
This work was funded by the Ministry of Science, Innovation and Universities of Spain under Grant No...
Counter-drone technology by using artificial intelligence (AI) is an emerging technology and it is ...
Training, data processing, and analysis code used for the paper "Robust Visual Flight Navigation wit...
This thesis delves into the integration of Artificial Intelligence (AI) within the realm of autonomo...
Reinforcement Learning (RL) is a learning paradigm where an agent learns a task by trial and error. ...
Robotics is the next frontier in the progress of Artificial Intelligence (AI), as the real world in ...
Supplementary Data for "Human-level performance in 3D multiplayer games with population-based reinfo...
This dataset is set for paper "A learning based algorithm for drone routing problem
Research on autonomous obstacle avoidance of drones has recently received widespread attention from ...
Drones are growing popular and so is the research within the field of autonomous drones. There are s...
This repository contains all data and code necessary to reproduce the experiments and figures in the...
Dynamically changing environments, unreliable state estimation, and operation under severe resource ...
This thesis explores the application of AI in the realm of autonomous racing drones. The racing ind...
Insect Inspired Self-Righting Drones Data accompanying the publication "Insect Inspired Self-Ri...
Dynamically changing environments, unreliable state estimation, and operation under severe resource ...
This work was funded by the Ministry of Science, Innovation and Universities of Spain under Grant No...
Counter-drone technology by using artificial intelligence (AI) is an emerging technology and it is ...
Training, data processing, and analysis code used for the paper "Robust Visual Flight Navigation wit...
This thesis delves into the integration of Artificial Intelligence (AI) within the realm of autonomo...
Reinforcement Learning (RL) is a learning paradigm where an agent learns a task by trial and error. ...
Robotics is the next frontier in the progress of Artificial Intelligence (AI), as the real world in ...
Supplementary Data for "Human-level performance in 3D multiplayer games with population-based reinfo...
This dataset is set for paper "A learning based algorithm for drone routing problem
Research on autonomous obstacle avoidance of drones has recently received widespread attention from ...