• What is an autonomous system?

    The internet is an internetwork—​a network of computer networks. When discussing routing, we sometimes refer to these independent networks asautonomous systems. Each autonomous system is responsible for routing packets internally. To travel across the broader internet, packets must traverse multiple autonomous systems. So it is more accurate to think of internet routing as happening across autonomous systems, rather than between individual computers. So yes: the internet is an internetwork—​a network of computer networks! Credits: Talking: Geoffrey Challen (Assistant Professor, Computer Science and Engineering, University at Buffalo). Producing: Greg Bunyea (Undergraduate, Computer Science and Engineering, University at Buffalo). Part of the https://www.internet-class.org online internet...

    published: 08 Sep 2016
  • Autonomous Systems

    This video is part of the Udacity course "GT - Refresher - Advanced OS". Watch the full course at https://www.udacity.com/course/ud098

    published: 23 Feb 2015
  • Autonomous systems – a new industrial revolution

    Autonomous systems are predicted to become the fourth industrial revolution. In Sweden, intensive research is ongoing. It's about smart systems in cities, systems that control vehicles and traffic systems, self-governing mines and warehouses, smart robots that can see and understand their surroundings. Advanced software development, including deep learning and cloud robotics, are examples of what the researchers and PhD students at Wallenberg Autonomous Systems and Software Program, WASP, work with. Meet Bo Wahlberg, at KTH, who researches independent vehicles and traffic systems. Karl-Erik Årzén, who works to enable the super-fast calculations required, and his colleague at Lund University, Kalle Åström who teach robots to see and interpret their environment with the help of deep learnin...

    published: 03 May 2017
  • Cisco CCNA - Autonomous System - Routing part 18

    This Video in Hindi by Jagvinder Thind Explains What is Autonomous System (AS). autonomous system in Hindi. Autonomous System (AS) is a collection of connected Internet Protocol (IP) routing prefixes or Networks under the control of one or more network operators that presents a common, clearly defined routing policy to the Internet.

    published: 03 Nov 2012
  • Autonomous Systems

    The Autonomous Systems - MEEM 4707 class at Michigan Tech talks about their final project, Duckie Town.

    published: 07 Jul 2017
  • Autonomous System Number - Video By Sikandar Shaik || Dual CCIE (RS/SP) # 35012

    Dynamic routing is a networking technique that provides optimal data routing. Unlike static routing, dynamic routing enables routers to select paths according to real-time logical network layout changes.

    published: 18 Jan 2017
  • What is autonomous system numbers & IGP VS EGP?

    “The classic definition of an Autonomous System is a set of routers under a single technical administration, using an interior gateway protocol (IGP) and common metrics to determine how to route packets within the AS, and using an inter-AS routing protocol to determine how to route packets to other ASs. Since this classic definition was developed, it has become common for a single AS to use several IGPs and sometimes several sets of metrics within an AS. The use of the term Autonomous System here stresses the fact that, even when multiple IGPs and metrics are used, the administration of an AS appears to other ASs to have a single coherent interior routing plan and presents a consistent picture of what destinations are reachable through it.” Network Kings give practice and train the engine...

    published: 12 Mar 2014
  • What is an autonomous system?

    The internet is an internetwork—​a network of computer networks. When discussing routing, we sometimes refer to these independent networks asautonomous systems. Each autonomous system is responsible for routing packets internally. To travel across the broader internet, packets must traverse multiple autonomous systems. So it is more accurate to think of internet routing as happening across autonomous systems, rather than between individual computers. So yes: the internet is an internetwork—​a network of computer networks! Credits: Talking: Geoffrey Challen (Assistant Professor, Computer Science and Engineering, University at Buffalo). Producing: Greg Bunyea (Undergraduate, Computer Science and Engineering, University at Buffalo). Part of the https://www.internet-class.org online internet...

    published: 08 Sep 2016
  • Marco Pavone, The Future of Autonomous Systems: a Computational Perspective

    The Future of Autonomous Systems: a Computational Systems Marco Pavone, Assistant Professor of Aeronautics and Astronautics Mobile autonomous systems are poised to transform several sectors, from transportation and logistics all the way to space exploration. In this talk I will briefly review major computational challenges in endowing autonomous systems with fast and reliable decision-making capabilities, and discuss recent advances made at the Stanford Autonomous Systems Laboratory.

    published: 27 May 2016
  • Yisong Yue on Machine Learning in Autonomous Systems

    More Info: http://www.caltech.edu/news/caltech-launches-new-autonomous-systems-research-center-80164 Assistant professor of computing and mathematical sciences Yisong Yue explains how Caltech's machine learning and artificial intelligence experts will teach autonomous systems to think.

    published: 24 Oct 2017
  • Robotics and autonomous systems | Professor David Lane

    Robotics and autonomous systems Professor David Lane Professor of Autonomous Systems Engineering Director, Edinburgh Centre for Robotics Heriot-Watt University, Edinburgh, Scotland

    published: 07 Nov 2016
  • Intelligent Autonomous Systems

    This talk describes the current research path towards intelligent, semi-autonomous systems, where both humans and automation tightly interact, and together, accomplish tasks such as searching for survivors of a hurricane using a team of UAVs with sensors with highly efficient interaction. This talk is describes the current state of the art in 1) intelligent robotic (only) systems, 2) modeling human decisions and 3) semi-autonomous systems, with a focus on information exchange, and command and control. Mark Campbell is the S.C. Thomas Sze Director of the Sibley School of Mechanical and Aerospace Engineering at Cornell University.

    published: 19 Oct 2012
  • Introduction to autonomous differential equations

    See http://mathinsight.org/autonomous_differential_equation_introduction for context.

    published: 09 Apr 2013
  • Autonomous Systems Routing Protocol

    -- Created using PowToon -- Free sign up at http://www.powtoon.com/join -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.

    published: 09 Apr 2015
  • CCNA Routing & Switching: Autonomous system number

    Internet routing architecture is structured as a two-level hierarchy. The environment is first partitioned into domains with each domain using an internal routing environment. These network domains use an interior routing protocol (commonly referred to as an Interior Gateway Protocol [IGP]), which maintains a complete mapping set for the current internal topology of the domain, together with the set of “best paths” between any two points within the network domain. Although this approach of having a routing protocol automatically maintaining a comprehensive view of the current topology can be made to work within even quite large routing domains, such an approach does not scale to the size of the entire Internet. Fine-grained topology information is useful only in “local” situations, and is ...

    published: 21 Mar 2015
  • Machine learning for autonomous systems and knowledge extraction from big data - Lyudmila Mihaylova

    CIS Seminar Series (http://cis.eecs.qmul.ac.uk/seminars.html) Machine learning for autonomous systems and knowledge extraction from big data Lyudmila S Mihaylova, University of Sheffield Where: Eng 209 Host: Andrea Cavallaro Abstract This talk focuses on methods for detection, tracking and decision making for autonomous or semi-autonomous surveillance systems. The data usually arrive from multiple heterogeneous sensors such as radar, LIDAR or cameras (optical and infrared). Methods for small and large groups comprised of hundreds or thousands of objects (normally referred to as cluster/crowd tracking) will be presented. Groups are structured objects characterised with particular motion patterns. The group can be comprised of a small number of interacting objects (e.g. pedestrians, sport...

    published: 27 Nov 2014
  • Safety-Critical Autonomous Systems: What is Possible? What is Required?

    Richard Murray (California Institute of Technology) Simons Institute Open Lecture Series, Spring 2018 https://simons.berkeley.edu/events/openlectures2018-spring-1

    published: 02 Feb 2018
  • Full event | Future Debate on Robotics and Autonomous Systems

    A full-length recording of the BSA's debate on Robotics and Autonomous Systems. The event was the flagship debate of the series, held at the Cavendish Conference Centre in London during British Science Week in March 2016. The film was made by Red Banana Productions, who have also made a terrific highlights edit of this event also available on our site https://youtu.be/BulX5OuwfrA http://www.redbanana.tv/

    published: 13 Jun 2016
  • Why autonomous systems are hotter than autonomous vehicles

    From mass production, to customized solutions such as mining projects in Australia and platooning in Singapore, Scania recognises automisation goes much further than self-driving trucks. As Tom Nyström, expert engineer, says “this is about customers increasing efficiency in their daily operations”. Nyström explains that systems such as Scania site optimization are already effective around the world. These systems can be helped by logistics and dispatch support, Scania’s Intelligent Control Environment (otherwise known as ICE). This means that the customer’s transport can be followed and monitored real-time. It is also possible to offer self-driving solutions or an Autonomous Transport Solution (ATS). “It’s the system that’s key, not the individual vehicle.” It’s important to remember ...

    published: 07 Jul 2017
  • Eddie Awang on autonomous systems

    Eddie Awang, VP for Defence Missions Systems in the UK, talks about the work we’ve been doing around autonomy.

    published: 11 Sep 2017
  • Lec 31 | MIT 18.03 Differential Equations, Spring 2006

    Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the Non-linear Pendulum. View the complete course: http://ocw.mit.edu/18-03S06 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

    published: 17 Jan 2008
  • Lecture 31 Non linear autonomous systems finding the critical points and sketching trajectories; the

    published: 22 Apr 2015
  • Innovations in Autonomous Systems

    Autonomous systems can operate with limited, or even without, human control. The military prizes these systems for their ability to perform tasks too dull, dangerous, or dirty for humans. MITRE's expertise makes us a trusted partner in the government's autonomous systems research programs.

    published: 17 Aug 2011
  • AUSA 2017: Intelligent autonomous systems - manned/unmanned teaming - ARL

    Janes' correspondent, Patrick Allen, talks to the Army Research Laboratory about manned/unmanned teaming with intelligent autonomous systems, particularly the Robosimian.

    published: 10 Oct 2017
developed with YouTube
What is an autonomous system?

What is an autonomous system?

  • Order:
  • Duration: 4:18
  • Updated: 08 Sep 2016
  • views: 10384
videos
The internet is an internetwork—​a network of computer networks. When discussing routing, we sometimes refer to these independent networks asautonomous systems. Each autonomous system is responsible for routing packets internally. To travel across the broader internet, packets must traverse multiple autonomous systems. So it is more accurate to think of internet routing as happening across autonomous systems, rather than between individual computers. So yes: the internet is an internetwork—​a network of computer networks! Credits: Talking: Geoffrey Challen (Assistant Professor, Computer Science and Engineering, University at Buffalo). Producing: Greg Bunyea (Undergraduate, Computer Science and Engineering, University at Buffalo). Part of the https://www.internet-class.org online internet course. A blue Systems Research Group (https://blue.cse.buffalo.edu) production.
https://wn.com/What_Is_An_Autonomous_System
Autonomous Systems

Autonomous Systems

  • Order:
  • Duration: 2:16
  • Updated: 23 Feb 2015
  • views: 2400
videos
This video is part of the Udacity course "GT - Refresher - Advanced OS". Watch the full course at https://www.udacity.com/course/ud098
https://wn.com/Autonomous_Systems
Autonomous systems – a new industrial revolution

Autonomous systems – a new industrial revolution

  • Order:
  • Duration: 12:03
  • Updated: 03 May 2017
  • views: 811
videos
Autonomous systems are predicted to become the fourth industrial revolution. In Sweden, intensive research is ongoing. It's about smart systems in cities, systems that control vehicles and traffic systems, self-governing mines and warehouses, smart robots that can see and understand their surroundings. Advanced software development, including deep learning and cloud robotics, are examples of what the researchers and PhD students at Wallenberg Autonomous Systems and Software Program, WASP, work with. Meet Bo Wahlberg, at KTH, who researches independent vehicles and traffic systems. Karl-Erik Årzén, who works to enable the super-fast calculations required, and his colleague at Lund University, Kalle Åström who teach robots to see and interpret their environment with the help of deep learning and the PhD student Linnea Persson, KTH, who is part of WASP graduate school.
https://wn.com/Autonomous_Systems_–_A_New_Industrial_Revolution
Cisco CCNA - Autonomous System - Routing part 18

Cisco CCNA - Autonomous System - Routing part 18

  • Order:
  • Duration: 5:52
  • Updated: 03 Nov 2012
  • views: 31008
videos
This Video in Hindi by Jagvinder Thind Explains What is Autonomous System (AS). autonomous system in Hindi. Autonomous System (AS) is a collection of connected Internet Protocol (IP) routing prefixes or Networks under the control of one or more network operators that presents a common, clearly defined routing policy to the Internet.
https://wn.com/Cisco_Ccna_Autonomous_System_Routing_Part_18
Autonomous Systems

Autonomous Systems

  • Order:
  • Duration: 4:21
  • Updated: 07 Jul 2017
  • views: 1585
videos
The Autonomous Systems - MEEM 4707 class at Michigan Tech talks about their final project, Duckie Town.
https://wn.com/Autonomous_Systems
Autonomous System Number - Video By Sikandar Shaik || Dual CCIE (RS/SP) # 35012

Autonomous System Number - Video By Sikandar Shaik || Dual CCIE (RS/SP) # 35012

  • Order:
  • Duration: 14:18
  • Updated: 18 Jan 2017
  • views: 8421
videos
Dynamic routing is a networking technique that provides optimal data routing. Unlike static routing, dynamic routing enables routers to select paths according to real-time logical network layout changes.
https://wn.com/Autonomous_System_Number_Video_By_Sikandar_Shaik_||_Dual_Ccie_(Rs_Sp)_35012
What is autonomous system numbers & IGP VS EGP?

What is autonomous system numbers & IGP VS EGP?

  • Order:
  • Duration: 3:14
  • Updated: 12 Mar 2014
  • views: 10820
videos
“The classic definition of an Autonomous System is a set of routers under a single technical administration, using an interior gateway protocol (IGP) and common metrics to determine how to route packets within the AS, and using an inter-AS routing protocol to determine how to route packets to other ASs. Since this classic definition was developed, it has become common for a single AS to use several IGPs and sometimes several sets of metrics within an AS. The use of the term Autonomous System here stresses the fact that, even when multiple IGPs and metrics are used, the administration of an AS appears to other ASs to have a single coherent interior routing plan and presents a consistent picture of what destinations are reachable through it.” Network Kings give practice and train the engineers those who install, support and maintain these complicated missions vital networks. Facebook page : https://www.facebook.com/networkkingss Our blog: www.networkkings.org
https://wn.com/What_Is_Autonomous_System_Numbers_Igp_Vs_Egp
What is an autonomous system?

What is an autonomous system?

  • Order:
  • Duration: 3:40
  • Updated: 08 Sep 2016
  • views: 914
videos
The internet is an internetwork—​a network of computer networks. When discussing routing, we sometimes refer to these independent networks asautonomous systems. Each autonomous system is responsible for routing packets internally. To travel across the broader internet, packets must traverse multiple autonomous systems. So it is more accurate to think of internet routing as happening across autonomous systems, rather than between individual computers. So yes: the internet is an internetwork—​a network of computer networks! Credits: Talking: Geoffrey Challen (Assistant Professor, Computer Science and Engineering, University at Buffalo). Producing: Greg Bunyea (Undergraduate, Computer Science and Engineering, University at Buffalo). Part of the https://www.internet-class.org online internet course. A blue Systems Research Group (https://blue.cse.buffalo.edu) production.
https://wn.com/What_Is_An_Autonomous_System
Marco Pavone, The Future of Autonomous Systems: a Computational Perspective

Marco Pavone, The Future of Autonomous Systems: a Computational Perspective

  • Order:
  • Duration: 10:59
  • Updated: 27 May 2016
  • views: 568
videos
The Future of Autonomous Systems: a Computational Systems Marco Pavone, Assistant Professor of Aeronautics and Astronautics Mobile autonomous systems are poised to transform several sectors, from transportation and logistics all the way to space exploration. In this talk I will briefly review major computational challenges in endowing autonomous systems with fast and reliable decision-making capabilities, and discuss recent advances made at the Stanford Autonomous Systems Laboratory.
https://wn.com/Marco_Pavone,_The_Future_Of_Autonomous_Systems_A_Computational_Perspective
Yisong Yue on Machine Learning in Autonomous Systems

Yisong Yue on Machine Learning in Autonomous Systems

  • Order:
  • Duration: 1:19
  • Updated: 24 Oct 2017
  • views: 718
videos
More Info: http://www.caltech.edu/news/caltech-launches-new-autonomous-systems-research-center-80164 Assistant professor of computing and mathematical sciences Yisong Yue explains how Caltech's machine learning and artificial intelligence experts will teach autonomous systems to think.
https://wn.com/Yisong_Yue_On_Machine_Learning_In_Autonomous_Systems
Robotics and autonomous systems | Professor David Lane

Robotics and autonomous systems | Professor David Lane

  • Order:
  • Duration: 38:57
  • Updated: 07 Nov 2016
  • views: 342
videos https://wn.com/Robotics_And_Autonomous_Systems_|_Professor_David_Lane
Intelligent Autonomous Systems

Intelligent Autonomous Systems

  • Order:
  • Duration: 54:26
  • Updated: 19 Oct 2012
  • views: 3235
videos
This talk describes the current research path towards intelligent, semi-autonomous systems, where both humans and automation tightly interact, and together, accomplish tasks such as searching for survivors of a hurricane using a team of UAVs with sensors with highly efficient interaction. This talk is describes the current state of the art in 1) intelligent robotic (only) systems, 2) modeling human decisions and 3) semi-autonomous systems, with a focus on information exchange, and command and control. Mark Campbell is the S.C. Thomas Sze Director of the Sibley School of Mechanical and Aerospace Engineering at Cornell University.
https://wn.com/Intelligent_Autonomous_Systems
Introduction to autonomous differential equations

Introduction to autonomous differential equations

  • Order:
  • Duration: 8:29
  • Updated: 09 Apr 2013
  • views: 35673
videos
See http://mathinsight.org/autonomous_differential_equation_introduction for context.
https://wn.com/Introduction_To_Autonomous_Differential_Equations
Autonomous Systems Routing Protocol

Autonomous Systems Routing Protocol

  • Order:
  • Duration: 4:21
  • Updated: 09 Apr 2015
  • views: 1615
videos
-- Created using PowToon -- Free sign up at http://www.powtoon.com/join -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
https://wn.com/Autonomous_Systems_Routing_Protocol
CCNA Routing & Switching: Autonomous system number

CCNA Routing & Switching: Autonomous system number

  • Order:
  • Duration: 14:18
  • Updated: 21 Mar 2015
  • views: 9407
videos
Internet routing architecture is structured as a two-level hierarchy. The environment is first partitioned into domains with each domain using an internal routing environment. These network domains use an interior routing protocol (commonly referred to as an Interior Gateway Protocol [IGP]), which maintains a complete mapping set for the current internal topology of the domain, together with the set of “best paths” between any two points within the network domain. Although this approach of having a routing protocol automatically maintaining a comprehensive view of the current topology can be made to work within even quite large routing domains, such an approach does not scale to the size of the entire Internet. Fine-grained topology information is useful only in “local” situations, and is best omitted when forming a larger view of the network. Commonly used interior routing protocols include Open Shortest Path First (OSPF), Intermediate System-to-Intermediate System (IS–IS), and Enhanced Interior Gateway Routing Protocol (EIGRP). The second level in the routing hierarchy is the interdomain routing domain. The interdomain routing environment describes how domains interconnect, but avoids the task of maintaining transit paths within each domain. In the interdomain space, a routing path to an address is described as a sequence of domains that must be transited to reach the domain that originates that particular address prefix. Today this interdomain space is maintained using Version 4 of the Border Gateway Protocol (BGPv4). Each routing domain is a single administrative domain, operated within a uniform set of routing policies, and is operated independently from any other domain. The domain is in effect an autonomous unit in the overall routing architecture, and is termed an Autonomous System (AS). Each of these ASs is uniquely identified using an Autonomous System Number (ASN). What Is an Autonomous System? One of the best definitions of an Autonomous System can be found in an IETF document, RFC 4271 [4] that describes BGPv4: “The classic definition of an Autonomous System is a set of routers under a single technical administration, using an interior gateway protocol (IGP) and common metrics to determine how to route packets within the AS, and using an inter-AS routing protocol to determine how to route packets to other ASs. Since this classic definition was developed, it has become common for a single AS to use several IGPs and sometimes several sets of metrics within an AS. The use of the term Autonomous System here stresses the fact that, even when multiple IGPs and metrics are used, the administration of an AS appears to other ASs to have a single coherent interior routing plan and presents a consistent picture of what destinations are reachable through it.” The AS Number Pool ASNs are drawn from a 16-bit number field, allowing for 65,536 possible values. AS 0 is reserved, and may be used to identify nonrouted networks. The largest value—AS 65,535—is also reserved. The block of ASNs from 64,512 through 65,534 is designated for private use. ASN 23,456 is reserved for use in ASN pool transition. The remainder of the values, from 1 through to 64,511 (less 23,456), are available for use in Internet routing. The number space is unstructured, because there are no internal fields in the number structure, nor is there any aggregation or summarization capability for ASNs
https://wn.com/Ccna_Routing_Switching_Autonomous_System_Number
Machine learning for autonomous systems and knowledge extraction from big data - Lyudmila Mihaylova

Machine learning for autonomous systems and knowledge extraction from big data - Lyudmila Mihaylova

  • Order:
  • Duration: 49:59
  • Updated: 27 Nov 2014
  • views: 441
videos
CIS Seminar Series (http://cis.eecs.qmul.ac.uk/seminars.html) Machine learning for autonomous systems and knowledge extraction from big data Lyudmila S Mihaylova, University of Sheffield Where: Eng 209 Host: Andrea Cavallaro Abstract This talk focuses on methods for detection, tracking and decision making for autonomous or semi-autonomous surveillance systems. The data usually arrive from multiple heterogeneous sensors such as radar, LIDAR or cameras (optical and infrared). Methods for small and large groups comprised of hundreds or thousands of objects (normally referred to as cluster/crowd tracking) will be presented. Groups are structured objects characterised with particular motion patterns. The group can be comprised of a small number of interacting objects (e.g. pedestrians, sport players, convoy of cars) or of hundreds or thousands of interacting components such as crowds of people. Large groups pose different challenges compared with small group tracking due to the fact that sensors do not provide sufficient information for each individual target. Groups and extended objects generate multiple measurements which require advanced methods to cope with measurements origin uncertainty and large data sets. This talk will present recent results with Sequential Monte Carlo methods such as convolution particle filters and Box Particle filters. Challenges and future trends are also discussed.
https://wn.com/Machine_Learning_For_Autonomous_Systems_And_Knowledge_Extraction_From_Big_Data_Lyudmila_Mihaylova
Safety-Critical Autonomous Systems: What is Possible? What is Required?

Safety-Critical Autonomous Systems: What is Possible? What is Required?

  • Order:
  • Duration: 1:04:56
  • Updated: 02 Feb 2018
  • views: 120
videos
Richard Murray (California Institute of Technology) Simons Institute Open Lecture Series, Spring 2018 https://simons.berkeley.edu/events/openlectures2018-spring-1
https://wn.com/Safety_Critical_Autonomous_Systems_What_Is_Possible_What_Is_Required
Full event | Future Debate on Robotics and Autonomous Systems

Full event | Future Debate on Robotics and Autonomous Systems

  • Order:
  • Duration: 1:16:18
  • Updated: 13 Jun 2016
  • views: 143
videos
A full-length recording of the BSA's debate on Robotics and Autonomous Systems. The event was the flagship debate of the series, held at the Cavendish Conference Centre in London during British Science Week in March 2016. The film was made by Red Banana Productions, who have also made a terrific highlights edit of this event also available on our site https://youtu.be/BulX5OuwfrA http://www.redbanana.tv/
https://wn.com/Full_Event_|_Future_Debate_On_Robotics_And_Autonomous_Systems
Why autonomous systems are hotter than autonomous vehicles

Why autonomous systems are hotter than autonomous vehicles

  • Order:
  • Duration: 4:56
  • Updated: 07 Jul 2017
  • views: 1904
videos
From mass production, to customized solutions such as mining projects in Australia and platooning in Singapore, Scania recognises automisation goes much further than self-driving trucks. As Tom Nyström, expert engineer, says “this is about customers increasing efficiency in their daily operations”. Nyström explains that systems such as Scania site optimization are already effective around the world. These systems can be helped by logistics and dispatch support, Scania’s Intelligent Control Environment (otherwise known as ICE). This means that the customer’s transport can be followed and monitored real-time. It is also possible to offer self-driving solutions or an Autonomous Transport Solution (ATS). “It’s the system that’s key, not the individual vehicle.” It’s important to remember that these are modular systems allowing ATS solutions to be tailored to a range of areas including mining, port operations and public transport. Additionally, Nyström reminds us that Scania is no-longer defined only by the delivery of high-class vehicles, but instead by its involvement in the whole mobility ecosystem. As the company makes this transition to a mobility provider it increasingly embraces connectivity with 5G and its partnership with Eriksson. ATS also helps Scania to reinforce its sustainability commitment. Scania’s Autonomous Transport Solutions offer increased efficiency, reduced fuel and further elimination of waste.
https://wn.com/Why_Autonomous_Systems_Are_Hotter_Than_Autonomous_Vehicles
Eddie Awang on autonomous systems

Eddie Awang on autonomous systems

  • Order:
  • Duration: 3:08
  • Updated: 11 Sep 2017
  • views: 375
videos
Eddie Awang, VP for Defence Missions Systems in the UK, talks about the work we’ve been doing around autonomy.
https://wn.com/Eddie_Awang_On_Autonomous_Systems
Lec 31 | MIT 18.03 Differential Equations, Spring 2006

Lec 31 | MIT 18.03 Differential Equations, Spring 2006

  • Order:
  • Duration: 47:09
  • Updated: 17 Jan 2008
  • views: 50438
videos
Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the Non-linear Pendulum. View the complete course: http://ocw.mit.edu/18-03S06 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
https://wn.com/Lec_31_|_Mit_18.03_Differential_Equations,_Spring_2006
Lecture 31 Non linear autonomous systems finding the critical points and sketching trajectories; the

Lecture 31 Non linear autonomous systems finding the critical points and sketching trajectories; the

  • Order:
  • Duration: 47:09
  • Updated: 22 Apr 2015
  • views: 1765
videos
https://wn.com/Lecture_31_Non_Linear_Autonomous_Systems_Finding_The_Critical_Points_And_Sketching_Trajectories_The
Innovations in Autonomous Systems

Innovations in Autonomous Systems

  • Order:
  • Duration: 3:38
  • Updated: 17 Aug 2011
  • views: 1071
videos
Autonomous systems can operate with limited, or even without, human control. The military prizes these systems for their ability to perform tasks too dull, dangerous, or dirty for humans. MITRE's expertise makes us a trusted partner in the government's autonomous systems research programs.
https://wn.com/Innovations_In_Autonomous_Systems
AUSA 2017: Intelligent autonomous systems - manned/unmanned teaming - ARL

AUSA 2017: Intelligent autonomous systems - manned/unmanned teaming - ARL

  • Order:
  • Duration: 4:30
  • Updated: 10 Oct 2017
  • views: 1168
videos
Janes' correspondent, Patrick Allen, talks to the Army Research Laboratory about manned/unmanned teaming with intelligent autonomous systems, particularly the Robosimian.
https://wn.com/Ausa_2017_Intelligent_Autonomous_Systems_Manned_Unmanned_Teaming_Arl