Swarming Logistics for Tactical Last-Mile Delivery
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Kinematic Modeling of a Rhex-Type Robot Using a Neural Network
Kinematic Modeling of a RHex-type Robot Using a Neural Network Mario Harpera, James Paceb, Nikhil Guptab, Camilo Ordonezb, and Emmanuel G. Collins, Jr.b aDepartment of Scientific Computing, Florida State University, Tallahassee, FL, USA bDepartment of Mechanical Engineering, Florida A&M - Florida State University, College of Engineering, Tallahassee, FL, USA ABSTRACT Motion planning for legged machines such as RHex-type robots is far less developed than motion planning for wheeled vehicles. One of the main reasons for this is the lack of kinematic and dynamic models for such platforms. Physics based models are difficult to develop for legged robots due to the difficulty of modeling the robot-terrain interaction and their overall complexity. This paper presents a data driven approach in developing a kinematic model for the X-RHex Lite (XRL) platform. The methodology utilizes a feed-forward neural network to relate gait parameters to vehicle velocities. Keywords: Legged Robots, Kinematic Modeling, Neural Network 1. INTRODUCTION The motion of a legged vehicle is governed by the gait it uses to move. Stable gaits can provide significantly different speeds and types of motion. The goal of this paper is to use a neural network to relate the parameters that define the gait an X-RHex Lite (XRL) robot uses to move to angular, forward and lateral velocities. This is a critical step in developing a motion planner for a legged robot. The approach taken in this paper is very similar to approaches taken to learn forward predictive models for skid-steered robots. For example, this approach was used to learn a forward predictive model for the Crusher UGV (Unmanned Ground Vehicle).1 RHex-type robot may be viewed as a special case of skid-steered vehicle as their rotating C-legs are always pointed in the same direction. -
(AFDD) 3-13, Information Operations
Cover Sheet for Air Force Doctrine Document (AFDD) 3-13, Information Operations OPR: LeMay Center/DD 28 July 2011 AFDD numbering has changed to correspond with the joint doctrine publication numbering architecture (the AFDD titles remain unchanged until the doctrine is revised). Any AFDD citations within the documents will list the old AFDD numbers until the doctrine is revised. The changed numbers follow: OLD NEW TITLE AFDD 2-1 changed to AFDD 3-1 Air Warfare AFDD 2-1.1 changed to AFDD 3-01 Counterair Operations AFDD 2-1.2 changed to AFDD 3-70 Strategic Attack AFDD 2-1.3 changed to AFDD 3-03 Counterland Operations AFDD 2-1.4 changed to AFDD 3-04 Countersea Operations AFDD 2-1.6 changed to AFDD 3-50 Personnel Recovery Operations AFDD 2-1.7 changed to AFDD 3-52 Airspace Control AFDD 2-1.8 changed to AFDD 3-40 Counter-CBRN AFDD 2-1.9 changed to AFDD 3-60 Targeting AFDD 2-10 changed to AFDD 3-27 Homeland Operations AFDD 2-12 changed to AFDD 3-72 Nuclear Operations AFDD 2-2 changed to AFDD 3-14 Space Operations AFDD 2-2.1 changed to AFDD 3-14.1 Counterspace Operations AFDD 2-3 changed to AFDD 3-24 Irregular Warfare AFDD 2-3.1 changed to AFDD 3-22 Foreign Internal Defense AFDD 2-4 changed to AFDD 4-0 Combat Support AFDD 2-4.1 changed to AFDD 3-10 Force Protection AFDD 2-4.2 changed to AFDD 4-02 Health Services AFDD 2-4.4 changed to AFDD 4-11 Bases, Infrastructure, and Facilities [Rescinded] AFDD 2-4.5 changed to AFDD 1-04 Legal Support AFDD 2-5 changed to AFDD 3-13 Information Operations AFDD 2-5.1 changed to AFDD 3-13.1 Electronic Warfare AFDD 2-5.3 changed to AFDD 3-61 Public Affairs Operations AFDD 2-6 changed to AFDD 3-17 Air Mobility Operations AFDD 2-7 changed to AFDD 3-05 Special Operations AFDD 2-8 changed to AFDD 6-0 Command and Control AFDD 2-9 changed to AFDD 2-0 ISR Operations AFDD 2-9.1 changed to AFDD 3-59 Weather Operations INFORMATION OPERATIONS Air Force Doctrine Document 3-13 11 January 2005 Incorporating Change 1, 28 July 2011 This document complements related discussion found in Joint Publication 3-13, Joint Doctrine for Information Operations. -
Team 4: Influencing Insurgent SVBIED
Team 4: Influencing Insurgent SVBIED Operations Using Traffic Control Points Enhanced with Unmanned Aerial System (UAS) Employment Strategies TEAM 4 MEMBERS The goal of the IDFW 15 effort was to determine the value of adding Unmanned Aerial Systems (UAS) to the Edward Teague aforementioned environment. Specifically, we looked to US Military Academy at West Point, US derive insights about semi-autonomous UAS with swarm Niki Goerger behaviors. Engineer Research and Development Center, US US Military Academy at West Point, US This extension can assist counterinsurgent forces in several ways. It will drive needs for UAS allocation and Brad Young Naval Post Graduate School, US development by identifying critical elements of semi- autonomous swarming behavior. In addition, it may Ng Chu Ngah highlight mission behavior that shows the most promise by Quek Kwang Ti Defence Science and Technology Agency, expanding the tasks and environment beyond this current Republic of Singapore set. Due to the complex nature of the problem, the current state of understanding in the field, and the exploratory nature INTRODUCTION of the research, insights vice specific answers are central in this research. Insurgents have effectively employed asymmetric tactics, such as the use of suicide bombers, as viable threats in urban PROBLEM STATEMENT environments. These threats are often devastating in their physical and emotional effects. They are hard to detect and This study addresses whether we can isolate factors needed have proven difficult to thwart or defeat. The U.S. Army has to identify effective semiautonomous UAS behaviors that recognized that improvised Explosive Devices (IEDs) pose a add value to the aforementioned SVBIED TCP study. -
Drone Swarms As Networked Control Systems by Integration of Networking and Computing
sensors Review Drone Swarms as Networked Control Systems by Integration of Networking and Computing Godwin Asaamoning 1,2,* , Paulo Mendes 3,4 , Denis Rosário 5 and Eduardo Cerqueira 5 1 COPELABS, Universidade Lusofóna, 1749-024 Lisbon, Portugal 2 Bolgatanga Technical University, Sumbrungu UB-0964-8505, Ghana 3 School of Communication, Architecture, Arts and Information Technologies, Universidade Lusofóna, 1749-024 Lisbon, Portugal; [email protected] 4 Airbus Central Research and Technology, Willy-Messerschmitt-Str 1, Taufkirchen, 82024 Munich, Germany 5 Computer Science Faculty, Federal University of Pará, Belém 66075-110, Brazil; [email protected] (D.R.); [email protected] (E.C.) * Correspondence: [email protected] Abstract: The study of multi-agent systems such as drone swarms has been intensified due to their cooperative behavior. Nonetheless, automating the control of a swarm is challenging as each drone operates under fluctuating wireless, networking and environment constraints. To tackle these challenges, we consider drone swarms as Networked Control Systems (NCS), where the control of the overall system is done enclosed within a wireless communication network. This is based on a tight interconnection between the networking and computational systems, aiming to efficiently support the basic control functionality, namely data collection and exchanging, decision-making, and the distribution of actuation commands. Based on a literature analysis, we do not find revision papers about design of drone swarms as NCS. In this review, we introduce an overview of how to develop self-organized drone swarms as NCS via the integration of a networking system and a Citation: Asaamoning, G.; Mendes, computational system. In this sense, we describe the properties of the proposed components of a P.; Rosário, D.; Cerqueira, E. -
Drone Swarms
Future Warfare Series No. 1020304060 DefendingAvoidingTheThe “WorriedAnthraxAre thePanic Drone American Vaccine Well”and Swarms Keeping Response Debate: Homeland the A WeaponsMedicalPorts Opento Review ofCBRN1993-2003 Massin a Events:forChemical Destruction? Commanders and BiologicalAnalysis Threat and Solu�onsEnvironment A Literature Review TanjaLieutenantRandallMajor M. Korpi Zach J.Richard ColonelLarsen aandry Kallenborn A.Christopherand Fred Hersack, Patrick P. Stone, USAF D.Hemmer EllisUSAF United States Air Force 60 Center for Strategic Deterrence Studies 30204010 Maxwell Air Force Base, Alabama Are Drone Swarms Weapons of Mass Destruction? by Zachary Kallenborn The Counterproliferation Papers Future Warfare Series No. 60 May 6, 2020 U.S. Air Force Center for Strategic Deterrence Studies Air University Maxwell Air Force Base, Alabama 36112 Table of Contents Chapter Page Disclaimer.…………………………………….…………..….……….………… ii Abstract…………………………………………………….….…………………iii Chapter 1. Introduction……………………………………….….……….………1 Chapter 2. Are Drone Swarms WMD?.………….………………………………9 Chapter 3. The Question of Autonomy…………………..………….….………15 Chapter 4. Drone Swarms in WMD Roles…………………………..…………….…19 Chapter 5. Conclusion……..…….…………...……...……...……...……...……27 i Disclaimer The views expressed in this academic research paper are those of the individual authors and do not reflect the official policy or position of the United States government, the Department of Defense, or Air University. In accordance with Air Force Instruction 51-303, it is not copyrighted, but is the property of the United States government. ii Abstract Public discussion has raised significant fears over armed drone swarms being used in a manner like weapons of mass destruction (WMDs). However, should they be considered WMDs? The first half of the article explores the question of comparing drone swarms to various conceptions of WMD. Overall, it finds that a subset of drone swarms, armed fully autonomous drone swarms (AFADS), are WMD. -
Assessment of Couple Unmanned Aerial Vehicle-Portable Magnetic
International Journal of Scientific & Engineering Research Volume 11, Issue 1, January-2020 1271 ISSN 2229-5518 Assessment of Couple Unmanned Aerial Vehicle- Portable Magnetic Resonance Imaging Sensor for Precision Agriculture of Crops Balogun Wasiu A., Keshinro K.K, Momoh-Jimoh E. Salami, Adegoke A. S., Adesanya G. E., Obadare Bolatito J Abstract— This paper proposes an improved benefits of integration of Unmanned Aerial vehicle (UAV) and Portable Magnetic Resonance Imaging (PMRI) system in relation to developing Precision Agricultural (PA) that is capable of carrying out a dynamic internal quality assessment of crop developmental stages during pre-harvest period. A comprehensive review was carried out on application of UAV technology to Precision Agriculture (PA) progress and evolving research work on developing a Portable MRI system. The disadvantages of using traditional way of obtaining Precision Agricultural (PA) were shown. Proposed Model Architecture of Coupled Unmanned Aerial vehicle (UAV) and Portable Magnetic Resonance Imaging (PMRI) System were developed and the advantages of the proposed system were displayed. It is predicted that the proposed method can be useful for Precision Agriculture (PA) which will reduce the cost implication of Pre-harvest processing of farm produce based on non-destructive technique. Index Terms— Unmanned Aerial vehicle, Portable Magnetic Resonance Imaging, Precision Agricultural, Non-destructive, Pre-harvest, Crops, Imaging, Permanent magnet —————————— —————————— 1 INTRODUCTION URING agricultural processing, quality control ensure Inspection of fresh fruit bunches (FFB) for harvesting is a rig- that food products meet certain quality and safety stand- orous assignment which can be overlooked or applied physi- D ards in a developed country [FAO]. Low profits in fruit cal counting that are usually not accurate or precise (Sham- farming are subjected by pre- and post-harvest factors. -
December 1, 2018 1:00 Pm – 1:45 Pm Panel 6 Star Wars: What
DECEMBER 1, 2018 1:00 PM – 1:45 PM PANEL 6 STAR WARS: WHAT DOES SDI TEACH US ABOUT TECHNOLOGY IN MILITARY COMPETITION? Panelists: • General Hawk Carlisle (USAF, Retired), President and CEO, National Defense Industrial Asscociation (NDIA) • Dr. Thomas Kennedy, Chairman and CEO, Raytheon • Senator Jon Kyl, U.S. Senate, Arizona Moderator: Ms. Morgan Brennan, CNBC Video: https://www.youtube.com/watch?v=a_IZcFxkIY&list=PLHNOi2zcxo7sBxM7HfhmB_tf6QXeqj 48K&index=9 Brennan: Well first I want to say thank you all for being here today, it's been an incredible forum so far. I just want to introduce our panelists. Star Wars: What Does SDI Teach Us About Tech and Military Competition? Brennan: Sitting next to me is Senator John Kyl, US Senator representing Arizona. Dr. Tom Kennedy, Chairman and CEO of Raytheon, and General Hawk Carlisle, 4-Star retired US Air force General, and now President and CEO of the National Defense Industrial Association. Brennan: So great to speak with all three of you today. Brennan: So, I think the first place to start is, what actually was SDI, the Strategic Defense Initiative, and how did it birth modern day missile defense, and the technology we're now talking about today? Brennan: So, Senator Kyl, I would love for you to just start with a little bit of background on this, given the fact that you have been a life-long advocate of nuclear defense, and your public service does date back to the Reagan years. Kyl: Thank you very much. Kyl: You can think about SDI as a roughly decade long effort, first begun by President Ronald Reagan, to create a new system. -
Future of Defense Task Force Report 2020 Cover Photo Credit: NASA Future of Defense Task Force
draft Future of Defense Task Force Report 2020 Cover photo credit: NASA Future of Defense Task Force FUTURE OF DEFENSE TASK FORCE September 23, 2020 The Honorable Adam Smith Chairman House Armed Services Committee 2216 Rayburn House Office Building Washington, D.C. 20515 The Honorable William “Mac” Thornberry Ranking Member House Armed Services Committee 2216 Rayburn House Office Building Washington, D.C. 20515 Dear Chairman Smith and Ranking Member Thornberry: Thank you for your support in standing up the Future of Defense Task Force. We are pleased to present you with our final report. Sincerely, Seth Moulton Jim Banks Chair Chair Future of Defense Task Force Future of Defense Task Force Susan Davis Scott DesJarlais Member of Congress Member of Congress Chrissy Houlahan Paul Mitchell Member of Congress Member of Congress Elissa Slotkin Michael Waltz Member of Congress Member of Congress Future of Defense Task Force Table of Contents PROLOGUE ............................................................................................... 1 TASK FORCE MEMBERS ........................................................................ 3 FINDINGS .................................................................................................. 5 RECOMMENDATIONS ........................................................................... 7 EXECUTIVE SUMMARY ....................................................................... 13 EVIDENCE .............................................................................................. 21 EMERGING -
Ocean Transparency, Submarine Opacity, and Strategic Nuclear Stability
Journal of Military and Strategic VOLUME 19, ISSUE 1 Studies Fluid Foundations: Ocean Transparency, Submarine Opacity, and Strategic Nuclear Stability Elizabeth Mendenhall The development and detonation of atomic weaponry at the end of World War Two so shocked established political and military thought that it can be accurately described as a “Nuclear Revolution.”1 The expectation that nuclear weapons would continue to be used in conflict, and the emerging bipolar tension, stoked premonitions of eminent international disaster. Aversion to their continued use, combined with fear of giving them up, produced a period of contradiction and adjustment in the missions and strategies of the armed forces. A nuclear strategy was needed to reconcile the extreme strength and extreme vulnerability attendant to the Nuclear Revolution, and to find a use for apparently un-useable weapons. “Deterrence theory” was meant to provide a practicable stopgap while more radical political solutions were formulated, but it was eventually fully incorporated into military doctrine, 1 Bernard Brodie, Some Strategic Implications of the Nuclear Revolution (University of Utah Press, 1959); Michael Mandelbaum, The Nuclear Revolution: International Politics Before and After Hiroshima (Cambridge University Press, 1981); Robert Jervis, The Meaning of the Nuclear Revolution: Statecraft and the Prospect of Armageddon (Ithaca: Cornell University Press, 1989).; Avery Goldstein, Deterrence and Security in the 21st Century: China, Britain, France, and the Enduring Legacy of the Nuclear Revolution (Stanford, Calif: Stanford University Press, 2000). ©Centre of Military and Strategic Studies, 2018 ISSN : 1488-559X JOURNAL OF MILITARY AND STRATEGIC STUDIES strategy, and force structure.2 Deterrence theory relies on the idea that the threat of nuclear retaliation will prevent an enemy from starting a nuclear conflict. -
Master's Thesis
SUBS, SWARMS, AND STRICKEN INFRASTRUCTURE: THE VULNERABILITY OF THE UNITED STATES TO NON-TRADITIONAL TERRORIST THREATS by Patrick Collman A thesis submitted to Johns Hopkins University in conformity with the requirements for the degree of Master of Arts in Global Security Studies Baltimore, Maryland May 2017 © 2017 Patrick Collman All Rights Reserved Abstract: The lack of mass casualty domestic attacks in the United States, carried out by foreign fighters, since 9/11 should not be taken for a sign of future invulnerability. Major Islamic terrorist organizations have previously conducted attacks focused on splashy news headlines and high body counts. However, Al-Qaeda‟s original stated goal was to bankrupt the West, not kill everyone in it. Is the United States simply impervious to such an attack aimed at causing extensive financial or economic damage? Or is the United States vulnerable, and ultimately a sitting duck? This paper will argue the latter. By examining the relationships between Islamic terrorist organizations and drug- trafficking organizations in Central and South America, and investing the use of advanced narco-submarines by the latter, the goal is to explore a viable means for inserting a group of armed, trained men undetected into the United States. Case studies examine the effectiveness of swarm-style terrorist attacks when compared to WMD and lone-wolf terror attacks. Further case studies seek to highlight extensive vulnerabilities within the U.S. energy and economic infrastructure that, if taken offline via terrorist attack, would result in long-lasting and immensely expensive consequences if attacked. Were Al-Qaeda or another terrorist organization to decide that they wanted to hit America in the pocket book as opposed to racking up a body count, this paper seeks to show that they possess the means, the ability, and the opportunity to do so. -
Social Swarming: Asymmetric Effects on Public Discourse in Future Conflict
SOCIAL SWARMING Asymmetric Effects on Public Discourse in Future Con flict Major David Faggard, U.S. Air Force WEETING DURING THE Arab Spring? That’s so 2010. A future Ttactic in cyber-based-information warfare is built upon mobile-media wielding e-citizen soldiers employing social swarming tactics to overwhelm Major David Faggard is a U.S. Air Force a system, a decision maker, or a critical node. 1 public affairs of ficer and most recently worked with the 82d Airborne Division These mobile networks are vital to starting and maintaining cyber-based in Afghanistan. He currently serves as insurgency, drawing physical and moral strength from super-empowered the director of public affairs for U.S. Air Forces, Central Command. individuals, while also using super-connected-individual networks to spread information, move undetected, and muster support, constantly one step ahead PHOTO: A man shouts after a missile of authorities. It is possible for this swarm to move from the online world hits in a house in Aleppo, Syria, 3 into the real world where violence may ensue. January 2013. The fighting is part of the escalating violence in the Syrian civil war that the United Nations estimates Understanding Swarming has killed more than 60,000 people To understand the nature of communication-based social swarming, one since the revolt against President must understand the concept of “battle swarm,” introduced by John Arquilla Bashar Assad began in March 2011. 2 (AP Photo/Andoni Lubaki) and David Ronfeldt of the Rand Corporation in 2000. Their essay, “Swarm- ing and the Future of Con flict,” studied historical con flicts placing context on smaller, less-equipped individual forces defeating larger, more equipped forces by overwhelming the system and decision makers. -
Flight Demonstrations of Unmanned Aerial Vehicle Swarming Concepts
FLighT Demo oF uAV sWArming concepTs Flight Demonstrations of unmanned Aerial Vehicle swarming concepts Robert J. Bamberger Jr., David P. Watson, David H. Scheidt, and Kevin L. Moore ApL has been engaged in a number of independent research and development projects over the past 5 years intended to demonstrate the cooperative behaviors of swarms of small, autonomous unmanned aerial vehicles (uAVs). swarm members cooperate to accomplish complex mission goals with no human in the loop. These projects represent a variety of approaches to uAV swarming, including teaming, consensus variables, and stigmergic potential fields. A series of experiments was conducted from 2001 through 2005 to demonstrate these concepts, and research in this area is ongoing. As a result of these efforts, ApL has developed autonomy frameworks, hardware architectures, and communications concepts that are applicable across a broad range of small, autonomous aerial vehicles. INTRODUCTION effective employment of autonomous unmanned vehicles, enable communications, capture signals, exfil- assets meets a critical need in today’s military. These trate sensor data, and in their most common role, provide assets can perform crucial missions in denied or danger- the warfighter a bird’s-eye view of the battlefield.i ndividu- ous areas while keeping the warfighter out of harm’s way. ally, their effectiveness is somewhat limited, but cooperat- until recently, the unmanned aerial vehicles (uAVs) ing as a swarm, these assets can act as a distributed sensor used for these missions typically have been battalion- system, employing sensors of various types and resolutions level class III or company-level class II uAVs, which and providing different views simultaneously.