US$1 MLN PRIZE POOL UP FOR GRABS IN AUTONOMOUS DRONE RACING CHAMPIONSHIP – A2RL

KUALA LUMPUR, The Abu Dhabi Autonomous Racing League (A2RL), which made its impressive debut this April at the Yas Marina Circuit, has announced the next phase of its challenge with the Drone Champions League (DCL).

Building on the success of its ina…


KUALA LUMPUR, The Abu Dhabi Autonomous Racing League (A2RL), which made its impressive debut this April at the Yas Marina Circuit, has announced the next phase of its challenge with the Drone Champions League (DCL).

Building on the success of its inaugural event, the A2RL Drone Race continues to advance the frontiers of autonomous technology, merging human skill with innovative advancements in autonomous flight.

Announcing the new competition, ATRC Secretary General, Faisal Al Bannai said: ‘It is only when you experiment in extreme conditions that you really discover new boundaries or breakthroughs in science.

‘We are inspiring global collaboration, driving technological progress, and creating a future where autonomous solutions transform industries and improve lives.’

According to a statement, the Autonomous Drone Race will bring together teams from across the globe, welcoming established drone racing teams, research institutions and enthusiastic ‘rookies’.

With registration now open, all competitors wi
ll vie for a thrilling prize purse of US$1 million, as they strive to achieve maximum agility and speed while successfully manoeuvring through objects in the way. (US$1=RM4.66)

All entries will undergo a rigorous selection process to identify the successful competing teams, and those who pass the screening will be invited to participate in a series of tasks that will allow the judging panel to assess the teams’ proficiency in using an open-source simulator to fly a drone autonomously.

The grand finale will be held in April next year, where the winner will be determined.

The A2RL extreme autonomous drone race will see competing researchers program drones to navigate through a sequence of gates, avoiding obstacles, using onboard sensors and computational power, with the main goal of setting a benchmark for achieving maximum innovation in algorithms while using minimal sensor technology in complex environments.

Source: BERNAMA News Agency