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Learning Agile, Vision-Based Drone Flight: From Simulation to Reality


Scaramuzza, Davide; Kaufmann, Elia (2023). Learning Agile, Vision-Based Drone Flight: From Simulation to Reality. In: 18th International Symposium of Robotics Research, ISRR 2022, Geneva, Switzerland, 25 September 2022 - 30 September 2022. Springer (Bücher), 11-18.

Abstract

We present our latest research in learning deep sensorimotor policies for agile, vision-based quadrotor flight. We show methodologies for the successful transfer of such policies from simulation to the real world. In addition, we discuss the open research questions that still need to be answered to improve the agility and robustness of autonomous drones toward human-pilot performance.

Abstract

We present our latest research in learning deep sensorimotor policies for agile, vision-based quadrotor flight. We show methodologies for the successful transfer of such policies from simulation to the real world. In addition, we discuss the open research questions that still need to be answered to improve the agility and robustness of autonomous drones toward human-pilot performance.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Control and Systems Engineering
Physical Sciences > Engineering (miscellaneous)
Physical Sciences > Mechanical Engineering
Physical Sciences > Computer Science Applications
Physical Sciences > Electrical and Electronic Engineering
Physical Sciences > Artificial Intelligence
Physical Sciences > Applied Mathematics
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:30 September 2022
Deposited On:26 Feb 2024 13:03
Last Modified:07 Mar 2024 10:02
Publisher:Springer (Bücher)
Series Name:Springer Proceedings in Advanced Robotics
Number:27
ISSN:2511-1256
ISBN:978-3-031-25554-0
OA Status:Green
Publisher DOI:https://doi.org/10.1007/978-3-031-25555-7_2
Other Identification Number:eISBN: 978-3-031-25555-7
  • Content: Accepted Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)