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Autonomous Aircrafts

A Global Strategic Business Report

MCP21282


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RESEARCH TRANSCRIPTS
Dr. Gariel: Xwing: the Journey to Deploying Autonomous Aircraft
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#ROBOTOKAUST #KAUSTRISCLab #KAUST #AerospaceRobotics KAUST Research Conference on Robotics and Autonomy 2021 Aerospace Robotics Session "Xwing: the Journey to Deploying Autonomous Aircraft" by Dr. Maxime Gariel, Xwing Xwing is developing the suite of technologies required to retrofit and operate a fleet of autonomous Cessna Caravans. Our aircraft can safely integrate in the airspace. During this talk, we will introduce the company and the team, and discuss the concept of operations, the technical progress, some of the challenges, and the certification path. Maxime Gariel is Xwing's Chief Technology Officer. Xwing is a San Francisco based startup whose mission is to dramatically increase human mobility using fully autonomous aerial vehicles. Xwing is converting Cessna Caravans into autonomous aircraft that can safely integrate into the airspace. Maxime is a pilot but he is passionate about making airplanes fly themselves. Maxime joined Xwing from Rockwell Collins where he was a Principal GNC Engineer. He worked on autonomous aircraft projects including DARPA Gremlins and the AgustaWestland SW4 Solo autonomous helicopter. Before becoming Chief Engineer of the SW4 Solo’s flight control system, he was in charge of the system architecture, redundancy, and safety for the project. Prior to Rockwell Collins, he worked on ADS-B based conflict detection as a postdoc at MIT and on autoland systems for airliners at Thales. Maxime earned his MS and Ph.D. in Aerospace Engineering from Georgia Tech under the supervision of Prof. Eric Feron and his BS from ISAE-Supaéro (France). Co-chair: Mohammad Aljohany https://cemse.kaust.edu.sa/risclab https://cemse.kaust.edu.sa/robotokaust --------------------------------------------------------------------------------------------------------------- Marine Robotics Prof. Stefan Williams, The University of Sydney Prof. Ayoung Kim, KAIST Dr. Ricardo M. Lima, KAUST Ms. Colleen Campbell, KAUST Human-Robot Interactions Dr. Emmanuel Roche, Clover.AI Dr. Jean Oh, Carnegie Mellon University Aerospace Robotics Prof. Naira Hovakimyan, University of Illinois Urbana-Champaign Prof. John Hauser & Dr. Jacob Cook, University of Colorado Boulder Dr. Maxime Gariel, Xwing Prof. Behcet Acikmese, University of Washington Prof. Hesham Shageer, KACST Prof. Manal Linjawi, Jeddah University Mobile Robotics Prof. Shinkyu Park, KAUST Prof. Lucia Pallottino, University of Pisa Prof. Anis Koubaa, Prince Sultan University Prof. Sabine Hauert, University of Bristol Prof. Usman A. Khan, Tufts University Prof. Emilio Frazzoli, ETH Zürich Prof. Girish Chowdhary, University of Illinois Urbana-Champaign Wearable Robotics & Microrobotics Ms. Marwa Eldiwiny, IEEE RAS Org Prof. Mohammed Kutbi, Saudi Electronic University Prof. Nestor Perez, University of Southern California Assured Autonomy Prof. Sam Coogan, Georgia Institute of Technology Prof. Huan Mumu Xu, University of Maryland Prof. Marco Pavone, Stanford University Prof. Necmiye Ozay, University of Michigan Dr. Jean-Pierre Collognat, Ewellix

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Towards Increasingly Autonomous Aircraft enabled Mobility
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INFORMS Transportation and Logistics Society (TSL) hosted John-Paul Clarke for this webinar. The national vision for advanced aerial mobility is an airspace system that can support high-scale flight operations supporting any number of applications, using vehicles small and large, carrying passengers or cargo, and operating over cities or in remote areas. This vision will require greater aircraft and air traffic management (ATM) system autonomy; a synergistic relationship between vertiport locations and flight trajectories to address noise, privacy, and safety concerns; and new certification standards for vehicles, systems, and operators. To this end, I will discuss how the first two challenges may be addressed via simulation and optimization, and present prior and ongoing work on frameworks, algorithms, and policies for autonomous decision-making during approach and landing; highly automated multi-aircraft conflict resolution; and trajectory planning to maximize the mission efficiency, success and survivability of autonomous flight vehicles. I will also propose a framework for the certification of vehicles that must both operate and make decisions autonomously. John-Paul Clarke is a professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin, where he holds the Ernest Cockrell Jr. Memorial Chair in Engineering. Previously, he was a faculty member at Georgia Tech and MIT, Vice President of Strategic Technologies at United Technologies Corporation (now Raytheon), and a researcher at Boeing and NASA JPL. He has also co-founded multiple companies, most recently Universal Hydrogen – a company dedicated to the development of a comprehensive carbon-free solution for aviation. Clarke is a leading expert in aircraft trajectory prediction and optimization, especially as it pertains to reducing the environmental impact of aviation, and in the development and use of stochastic models and optimization algorithms to improve the efficiency and robustness of aircraft, airline, airport, and air traffic operations. He is the founding chair of the AIAA Human-Machine Teaming Technical Committee, and was co-chair of the National Academies Committee that developed the US National Agenda for Autonomy Research related to Civil Aviation. Clarke received S.B. (1991), S.M. (1992), and Sc.D. (1997) degrees in aeronautics and astronautics from MIT. He is a Fellow of the AIAA and the RAeS, and is a member of AGIFORS, INFORMS, and Sigma Xi.

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Flying autonomous aircraft: Mixed-criticality support in seL4
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Gernot Heiser http://lca2018.linux.org.au/schedule/presentation/66/ We have cracked the problem of safely combining real-time tasks of different criticality on a single system image, removing the main show-stopper for complex mixed-criticality systems as they are emerging in cyberphysical systems such as autonomous vehicles. Mixed-criticality systems (MCS) consolidate multiple functionalities of differing criticality (i.e. severity of failure). MCS are already a reality in avionics, although to date with severe restrictions. A core requirement of MCS is that the correct operation, including timeliness, of critical components must not depend on any less critical components. This requires enforcement of strong spatial and temporal isolation by the OS. Given that MCS are often life-critical, this isolation must be truly bullet-proof, and must be able to stop interference by less critical components that are potentially compromised by an attacker. The industry-standard approach, e.g. mandated by avionics standard ARIC 653, uses strict time-and-space partitioning (TSP), where each component is sandboxed in a fixed memory partition and executes according to a statically configured schedule. This approach is too limiting for emerging MCS, as it inherently leads to poor resource utilisation and inhibits sharing across criticalities. Such sharing is important; e.g. in an autonomous aircraft, the less critical ground-station communication component must be able to update waypoints used by the highly-critical flight-control component. The recently released MCS branch of the formally-verified seL4 microkernel is the first OS that truly matches the requirements of MCS. seL4 already provides provable spatial isolation, the MCS branch adds a scheduling model that provides the right temporal isolation. In particular, it provides time budget enforcement, that can prevent high-priority threads from monopolising the processor. In this talk I will first give a refresher on seL4 and its formal verification story. I will then discuss the requirements of MCS in detail, based on example use cases, and explain why they cannot be matched by existing systems. I will then present the seL4 MCS support and show how it meets the requirements. I will also present autonomous aerial vehicle (AAV) case studies. This talk was given at Linux.conf.au 2018 (LCA2018) which was held on 22-26 January 2018 in Sydney Australia. linux.conf.au is a conference about the Linux operating system, and all aspects of the thriving ecosystem of Free and Open Source Software that has grown up around it. Run since 1999, in a different Australian or New Zealand city each year, by a team of local volunteers, LCA invites more than 500 people to learn from the people who shape the future of Open Source. For more information on the conference see https://linux.conf.au/ #linux.conf.au #linux #foss #opensource

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Uber Moves Forward With Plans For Autonomous Aircraft In Bay Area
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Devin Fehely reports on plans for Uber Elevate to launch fleet of autonomous aircraft a few years from now (6-12-2019)

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Safe and Autonomous Aircraft Systems
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Science On Screen® brings you to the Michigan Theatre in Ann Arbor, MI for a screening of Hidden Figures. About the Speaker Dr. Ella Atkins is a professor in the Department of Aerospace Engineering at the University of Michigan, where she is director of the Autonomous Aerospace Systems (A2SYS) Lab. Dr. Atkins holds BS and MS degrees in aeronautics and astronautics from MIT, and MS and PhD degrees in computer science and engineering from the University of Michigan. She previously served on the Aerospace Engineering faculty at the University of Maryland, College Park. Dr. Atkins is past-chair of the AIAA Intelligent Systems Technical Committee, AIAA Associate Fellow, IEEE senior member, small public airport owner/operator (Shamrock Field, Brooklyn, MI), and private pilot. She served on the National Academy’s Aeronautics and Space Engineering Board (ASEB) (2011-2015 term), was a member of the Institute for Defense Analysis Defense Science Studies (DSSG) Group (2012–2013), and recently served on an NRC committee to develop an autonomy research agenda for civil aviation (2013–2014).

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Autonomous Aircraft Will Replace Human Pilots One Day
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American Airlines and United Airlines have both committed to flying electric vertical takeoff and land aircraft, or eVTOLs. Autonomous Aircraft Will Replace Human Pilots One Day Please subscribe ! Time Is Money: Financial Independence Retire Early https://www.amazon.com/Time-Money-Financial-Independence-Retire-ebook/dp/B087ZBXB8C/ref=sr_1_20?dchild=1&qid=1622304735&refinements=p_27%3AAdidas+Wilson&s=digital-text&sr=1-20&text=Adidas+Wilson+ DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission.

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Navigation, Communication & Surveillance in the World of Autonomous Aircraft
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Sunset High School Tech Talks 2017 Craig Hudson - Design Engineering: Garmin

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Autonomous aircraft can carry 500 pounds of cargo
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Elroy Air has unveiled the first preproduction model of its delivery drone called the Chaparral. Elroy says the hybrid-electric aircraft can carry up to 500 pounds a maximum distance of 300 miles. Elroy Air: https://elroyair.com/ Andy on Twitter: @theandyaltman Subscribe to CNET: https://www.youtube.com/user/CNETTV Like us on Facebook: https://www.facebook.com/cnet Follow us on Twitter: https://www.twitter.com/cnet Follow us on Instagram: http://bit.ly/2icCYYm Follow us on TikTok: https://vm.tiktok.com/ZMd2h6yac/

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Autonomous Aircraft with Xwing | Ep. 335
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Abate talks to Maxime Gariel, CTO of Xwing about the autonomous flight technology they are developing. At Xwing, they retrofit traditional aircraft to include multiple sensors such as cameras, lidar, and radar. Using sensor fusion algorithms, they create an exceptionally accurate model of the environment. This model of the environment and advanced path planning and control algorithms allow the plane to autonomously navigate in the airport, take off, fly to a destination, and land, all without a person on board. 0:00 Intro by Jana 1:00 Maxime's Background 3:50 What is Xwing building? 6:50 Benefits of Aircraft Autonomy 9:07 Perception, Planning, and Control 11:41 How do human pilots do it? 14:22 Plane Communication 15:18 Benefits of Detect and Avoid System 18:47 Airplane Taxi in Airport 19:54 Xwing for Manned Flights 21:55 Sensor Fusion 24:54 Navigating in a Featureless Environment 27:40 Spoofing ADS-B 30:13 Machine Learning 32:13 Aviation Safety Standards 35:07 Next Steps at Xwing 37:23 Sales Strategy at Xwing Robohub post with transcript: https://robohub.org/autonomous-aircraft-by-xwing/ Subscribe on Spotify: https://open.spotify.com/show/3jrY3lSJhTqcQ7TlunjZpk Support us on Patreon: https://www.patreon.com/robohub_podcast

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Autonomous aircraft industry celebrates successful flight without a pilot
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Technology expert Djuro Sen says a big step forward has been made in the aviation industry by company Xwing which fitted out a Cessna Caravan aircraft with autonomous equipment and successfully flew the small plane without a pilot. Xwing had the Cessna aircraft independently fly itself around San Francisco just weeks after an Airbus completed its autonomous taxi, take-off and landing project. According to Mr Sen, the major problem for the autonomous aviation industry is ensuring the aircraft can communicate effectively with air traffic control. As a means of transporting cargo, the new autonomous technology could be a "really significant move," he said. Image: Getty

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McCain touring Beaver Aerospace and Defense
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(13 Aug 2008) LOCATION/STORY: McCainMI SUPERS: - Livonia, MI - Senator John McCain/(R) Arizona VIDEO PROVIDED BY: POOL SUGGESTED INTRO: SCRIPT: Senator McCain made statements at Beaver Aerospace & Defense, Inc in Livonia Find out more about AP Archive: http://www.aparchive.com/HowWeWork Twitter: https://twitter.com/AP_Archive Facebook: https://www.facebook.com/APArchives ​​ Instagram: https://www.instagram.com/APNews/ You can license this story through AP Archive: http://www.aparchive.com/metadata/youtube/9af482dda910bc14b32d258c7e8dc966

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