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Low-Latency High-Bandwidth Communication for Drone Racing
Low-Latency High-Bandwidth Communication for Drone Racing
World-class drone racing pilots achieve incredible flight maneuvers using only a remote controller and a first-person view camera to operate the drone. Currently available hardware for remote control mainly provide low-latency transmission and high-bandwidth reception. This however is insufficient for autonomous control algorithms for drone racing, which require bi-directional low-latency and high-bandwidth communication. The goal of this project is to implement and deploy a low-latency and high-bandwidth communication protocol for autonomous drone racing in collaboration between the University of Zurich Robotics and Perception Group and Team Black Sheep (https://www.team-blacksheep.com/). The student will implement and extensively test a communication protocol for autonomous drone racing using existing hardware and software. The successful communication protocol will be deployed on a real-world racing drone and tested in a large-scale tracking arena. Requirements: Strong background in electrical engineering and demonstrable programming experience in C++ and ROS. Experience with quadrotor hardware, electronics, and piloting is a plus.
World-class drone racing pilots achieve incredible flight maneuvers using only a remote controller and a first-person view camera to operate the drone. Currently available hardware for remote control mainly provide low-latency transmission and high-bandwidth reception. This however is insufficient for autonomous control algorithms for drone racing, which require bi-directional low-latency and high-bandwidth communication. The goal of this project is to implement and deploy a low-latency and high-bandwidth communication protocol for autonomous drone racing in collaboration between the University of Zurich Robotics and Perception Group and Team Black Sheep (https://www.team-blacksheep.com/). The student will implement and extensively test a communication protocol for autonomous drone racing using existing hardware and software. The successful communication protocol will be deployed on a real-world racing drone and tested in a large-scale tracking arena. Requirements: Strong background in electrical engineering and demonstrable programming experience in C++ and ROS. Experience with quadrotor hardware, electronics, and piloting is a plus.
Not specified
Please send your CV and transcripts (bachelor and master) to Christian Pfeiffer (cpfeiffe AT ifi DOT uzh DOT ch) and Angel Romero (roagui AT ifi DOT uzh DOT ch).
Please send your CV and transcripts (bachelor and master) to Christian Pfeiffer (cpfeiffe AT ifi DOT uzh DOT ch) and Angel Romero (roagui AT ifi DOT uzh DOT ch).