Robohub.org
 

Quadrocopters learn from prior experience to improve slalom flying

by
11 June 2013



share this:
QuadrotorSlalomLearningPriorExperienceSmall

A new video released today by researchers from the Flying Machine Arena shows how a quadrocopter is able to learn from prior experience to improve future performance.

This new research is an extension of results published last year by the same group, which show how quadrocopters can learn to fly high-performance slalom courses (video).

Much like humans learn through repetition and practice, the quadrocopter repeatedly flies the slalom course, records any errors made and then tries to compensate for these errors during the next attempt.

However unlike human-skill-learning, the experience gained by flying one slalom course, was not carried over to a new course – these had to be learned from a state of zero experience.

A new video released by the group today (embedded below), extends this research and enables the quadrocopter to learn from prior experience.

By using knowledge of previously flown slalom courses, the quadrocopter is able to improve its performance on unseen courses, to the point where they can be accurately flown the first time, without practice.

Full Disclosure: I am the lead author of the video and associated research.



tags: , , , , ,


Mike Hamer





Related posts :



Robot science fiction books of 2021

2021 produced four new scifi books with good hard science underpinning their description of robots and three where there was less science but lots of interesting ideas about robots.
23 January 2022, by

How robots learn to hike

A new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain.
20 January 2022, by

How robots and bubbles could soon help clean up underwater litter

Everyone loves to visit the seaside, whether to enjoy the physical benefits of an exhilarating swim or simply to relax on the beach and catch some sun. But these simple life affirming pleasures are easily ruined by the presence of litter, which if persistent can have a serious negative impact on both the local environment and economy. However, help is at hand to ensure the pristine nature of our coastlines.
19 January 2022, by

Maria Gini wins the 2022 ACM/SIGAI Autonomous Agents Research Award

Congratulations to Maria Gini on winning this prestigious award, recognising her research and leadership in the field of robotics and multi-agent systems.
18 January 2022, by

UN fails to agree on ‘killer robot’ ban as nations pour billions into autonomous weapons research

Given the pace of research and development in autonomous weapons, the U.N. meeting might have been the last chance to head off an arms race.
16 January 2022, by

Science Magazine robot videos 2021

A compilation of Science Magazine videos featuring robotics research that were released during last year.
14 January 2022, by





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association