Increasing the Trafficability of Unmanned Ground Vehicles Through Intelligent Morphing
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Irobot Corporation Irobot Designs, Develops and Sells Robots That Make a Difference
iRobot Corporation iRobot designs, develops and sells robots that make a difference. iRobot invests significant resources to manufacture, promote and protect its products and related intellectual property. iRobot registered trademarks are protected under U.S. and international law; iRobot reserves the right to bring action against the infringement of legally protected trademarks and products. iRobot regularly monitors the Internet, including auction sites, in order to protect its intellectual property rights. Unauthorized reselling, marketing or auctioning using iRobot copyrighted items is illegal and can result in liability for damages, criminal penalties and termination of eBay selling privileges. iRobot notifies eBay of auction listings containing unauthorized uses of iRobot copyrights and trademarks. eBay complies with iRobot's request by taking appropriate action in accordance to its user policies. This includes the removal of auctions from the eBay website that illegally offer copyrighted terms and products. Only iRobot brand products, as supplied and distributed by iRobot Corporation, and delivered as manufactured, in the carton to the original customer purchaser, is warranted by iRobot Corporation against manufacturing defects in materials and workmanship for the qualifyinglimited warranty period. iRobot Affiliate Program If you are an online retailer and want to earn commission by selling iRobot products on your website, you may opt to participate in the iRobot Affiliate Program. iRobot selects partners based on corporate guidelines and federal law. Through the iRobot Affiliate Program, Approved Affiliates may earn cash by promoting iRobot products on their website by directing consumers from your site to the iRobot Online Store. The program is free to join and easy to use. -
Global Inventory of AUV and Glider Technology Available for Routine Marine Surveying
Appendix 1. Global Inventory of AUVs and Gliders Global Inventory of AUV and Glider Technology available for Routine Marine Surveying Project Leaders: Dr Russell Wynn (NOC) and Dr Elizabeth Linley (NERC) Report Prepared by: Dr James Hunt (NOC) Inventory correct as of September 2013 1 Return to Contents Appendix 1. Global Inventory of AUVs and Gliders Contents United Kingdom Institutes ................................................................. 16 Marine Autonomous and Robotic Systems (MARS) at National Oceanography Centre (NOC), Southampton ................................. 17 Autonomous Underwater Vehicles (AUVs) at MARS ................................... 18 Autosub3 ...................................................................................................... 18 Technical Specification for Autosub3 ......................................................... 18 Autosub6000 ................................................................................................ 19 Technical Specification .............................................................................. 19 Autosub LR ...................................................................................................... 20 Technical Specification .............................................................................. 20 Air-Launched AUVs ........................................................................................ 21 Gliders at MARS .............................................................................................. 22 Teledyne -
Understanding Domestic Robot Owners Ja-Young Sung1, Rebecca E
Housewives or Technophiles?: Understanding Domestic Robot Owners Ja-Young Sung1, Rebecca E. Grinter1, Henrik I. Christensen1, Lan Guo2 1 Center for Robotics and Intelligent Machines 2Siemens Medical Solutions Inc. Georgia Institute of Technology 51 Valley Stream Pkwy 85 5th Street, Atlanta GA 30332 USA Malvern, PA 19355 USA {jsung, beki,hic}@cc.gatech.edu [email protected] ABSTRACT Roomba users. Among other domestic robots that serve household Despite the growing body of Human-Robot Interaction (HRI) tasks, such as Scooba, Robomower and Dressman, we selected research focused on domestic robots, surprisingly little is known Roomba for three main reasons. First, Roomba have been very about the demographic profile of robot owners and their influence successful in the United States and that gave us wide accessibility on usage patterns. In this paper, we present the results of a survey to Roomba owners making it easier to recruit a large sample size. of 379 iRobot’s Roomba owners, that identified their Second, Roomba is one of the longest available domestic robots, demographic and usage trends. The outcome of the survey and we hypothesize that its adoption may have gone beyond suggests that Roomba users are equally likely to be men or “early adopters” or leading users, allowing us to capture a broader women, and they tend to be younger with high levels of education range of experiences. Third, and most importantly, Roomba is an and technical backgrounds. Their adoption and use patterns exemplary case for understanding how householders respond to illustrate the important role that gift exchange plays in adoption, robotic products that replace blue-collar work in the home, which and how the robot changes cleaning routines and creates non- some researchers believe to be the future of home robotic cleaning activities. -
AI, Robots, and Swarms: Issues, Questions, and Recommended Studies
AI, Robots, and Swarms Issues, Questions, and Recommended Studies Andrew Ilachinski January 2017 Approved for Public Release; Distribution Unlimited. This document contains the best opinion of CNA at the time of issue. It does not necessarily represent the opinion of the sponsor. Distribution Approved for Public Release; Distribution Unlimited. Specific authority: N00014-11-D-0323. Copies of this document can be obtained through the Defense Technical Information Center at www.dtic.mil or contact CNA Document Control and Distribution Section at 703-824-2123. Photography Credits: http://www.darpa.mil/DDM_Gallery/Small_Gremlins_Web.jpg; http://4810-presscdn-0-38.pagely.netdna-cdn.com/wp-content/uploads/2015/01/ Robotics.jpg; http://i.kinja-img.com/gawker-edia/image/upload/18kxb5jw3e01ujpg.jpg Approved by: January 2017 Dr. David A. Broyles Special Activities and Innovation Operations Evaluation Group Copyright © 2017 CNA Abstract The military is on the cusp of a major technological revolution, in which warfare is conducted by unmanned and increasingly autonomous weapon systems. However, unlike the last “sea change,” during the Cold War, when advanced technologies were developed primarily by the Department of Defense (DoD), the key technology enablers today are being developed mostly in the commercial world. This study looks at the state-of-the-art of AI, machine-learning, and robot technologies, and their potential future military implications for autonomous (and semi-autonomous) weapon systems. While no one can predict how AI will evolve or predict its impact on the development of military autonomous systems, it is possible to anticipate many of the conceptual, technical, and operational challenges that DoD will face as it increasingly turns to AI-based technologies. -
Sharkninja V Irobot Corporation IPR2020-00734
[email protected] Paper No. 11 571-272-7822 Entered: October 6, 2020 UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD SHARKNINJA OPERATING LLC, SHARKNINJA MANAGEMENT LLC, AND SHARKNINJA SALES COMPANY, Petitioner, v. IROBOT CORPORATION, Patent Owner. IPR2020-00734 Patent 9,921,586 B2 Before TERRENCE W. McMILLIN, AMANDA F. WIEKER, and JASON W. MELVIN, Administrative Patent Judges. MELVIN, Administrative Patent Judge. DECISION Granting Institution of Inter Partes Review 35 U.S.C. § 314 IPR2020-00734 Patent 9,921,586 B2 I. INTRODUCTION SharkNinja Operating LLC, SharkNinja Management LLC, and SharkNinja Sales Company (“Petitioner”) filed a Petition (Paper 1, “Pet.”) requesting institution of inter partes review of claims 1–19 of U.S. Patent No. 9,921,586 B2 (Ex. 1001, “the ’586 patent”). iRobot Corporation (“Patent Owner”) filed a Preliminary Response. Paper 6. After our email authorization, Petitioner filed a Preliminary Reply (Paper 7) and Patent Owner filed a Preliminary Sur-Reply (Paper 9). Pursuant to 35 U.S.C. § 314 and 37 C.F.R. § 42.4(a), we have authority to determine whether to institute review. An inter partes review may not be instituted unless “the information presented in the petition . and any response . shows that there is a reasonable likelihood that the petitioner would prevail with respect to at least 1 of the claims challenged in the petition.” 35 U.S.C. § 314(a). For the reasons set forth below, we conclude that Petitioner has shown a reasonable likelihood it will prevail in establishing the unpatentability of at least one challenged claim, and we institute inter partes review. -
History of Robotics: Timeline
History of Robotics: Timeline This history of robotics is intertwined with the histories of technology, science and the basic principle of progress. Technology used in computing, electricity, even pneumatics and hydraulics can all be considered a part of the history of robotics. The timeline presented is therefore far from complete. Robotics currently represents one of mankind’s greatest accomplishments and is the single greatest attempt of mankind to produce an artificial, sentient being. It is only in recent years that manufacturers are making robotics increasingly available and attainable to the general public. The focus of this timeline is to provide the reader with a general overview of robotics (with a focus more on mobile robots) and to give an appreciation for the inventors and innovators in this field who have helped robotics to become what it is today. RobotShop Distribution Inc., 2008 www.robotshop.ca www.robotshop.us Greek Times Some historians affirm that Talos, a giant creature written about in ancient greek literature, was a creature (either a man or a bull) made of bronze, given by Zeus to Europa. [6] According to one version of the myths he was created in Sardinia by Hephaestus on Zeus' command, who gave him to the Cretan king Minos. In another version Talos came to Crete with Zeus to watch over his love Europa, and Minos received him as a gift from her. There are suppositions that his name Talos in the old Cretan language meant the "Sun" and that Zeus was known in Crete by the similar name of Zeus Tallaios. -
Geting (Parakilas and Bryce, 2018; ICRC, 2019; Abaimov and Martellini, 2020)
Journal of Future Robot Life -1 (2021) 1–24 1 DOI 10.3233/FRL-200019 IOS Press Algorithmic fog of war: When lack of transparency violates the law of armed conflict Jonathan Kwik ∗ and Tom Van Engers Faculty of Law, University of Amsterdam, Amsterdam 1001NA, Netherlands Abstract. Underinternationallaw,weapon capabilitiesand theiruse areregulated by legalrequirementsset by International Humanitarian Law (IHL).Currently,there arestrong military incentivestoequip capabilitieswith increasinglyadvanced artificial intelligence (AI), whichinclude opaque (lesstransparent)models.As opaque models sacrifice transparency for performance, it is necessary toexaminewhether theiruse remainsinconformity with IHL obligations.First,wedemon- strate that theincentivesfor automationdriveAI toward complextaskareas and dynamicand unstructuredenvironments, whichinturnnecessitatesresorttomore opaque solutions.Wesubsequently discussthe ramifications of opaque models for foreseeability andexplainability.Then, we analysetheir impact on IHLrequirements froma development, pre-deployment and post-deployment perspective.We findthatwhile IHL does not regulate opaqueAI directly,the lack of foreseeability and explainability frustratesthe fulfilmentofkey IHLrequirementstotheextent that theuse of fully opaqueAI couldviolate internationallaw.Statesare urgedtoimplement interpretability duringdevelopmentand seriously consider thechallenging complicationofdetermining theappropriate balancebetween transparency andperformance in their capabilities. Keywords:Transparency, interpretability,foreseeability,weapon, -
Variety of Research Work Has Already Been Done to Develop an Effective Navigation Systems for Unmanned Ground Vehicle
Design of a Smart Unmanned Ground Vehicle for Hazardous Environments Saurav Chakraborty Subhadip Basu Tyfone Communications Development (I) Pvt. Ltd. Computer Science & Engineering. Dept. ITPL, White Field, Jadavpur University Bangalore 560092, INDIA. Kolkata – 700032, INDIA Abstract. A smart Unmanned Ground Vehicle needs some organizing principle, based on the (UGV) is designed and developed for some characteristics of each system such as: application specific missions to operate predominantly in hazardous environments. In The purpose of the development effort our work, we have developed a small and (often the performance of some application- lightweight vehicle to operate in general cross- specific mission); country terrains in or without daylight. The The specific reasons for choosing a UGV UGV can send visual feedbacks to the operator solution for the application (e.g., hazardous at a remote location. Onboard infrared sensors environment, strength or endurance can detect the obstacles around the UGV and requirements, size limitation etc.); sends signals to the operator. the technological challenges, in terms of functionality, performance, or cost, posed by Key Words. Unmanned Ground Vehicle, the application; Navigation Control, Onboard Sensor. The system's intended operating area (e.g., indoor environments, anywhere indoors, 1. Introduction outdoors on roads, general cross-country Robotics is an important field of interest in terrain, the deep seafloor, etc.); modern age of automation. Unlike human being the vehicle's mode of locomotion (e.g., a computer controlled robot can work with speed wheels, tracks, or legs); and accuracy without feeling exhausted. A robot How the vehicle's path is determined (i.e., can also perform preassigned tasks in a control and navigation techniques hazardous environment, reducing the risks and employed). -
Robotics Irobot Corp. (IRBT)
Robotics This report is published for educational purposes only by students competing in the Boston Security Analysts Society (BSAS) Boston Investment iRobot Corp. (IRBT) Research Challenge. 12/13/2010 Ticker: IRBT Recommendation: Sell Price: $22.84 Price Target: $15.20-16.60 Market Profile Figure 1.1: iRobot historical stock price Shares O/S 25 mm 25 Current price $22.84 52 wk price range $14.45-$23.00 20 Beta 1.86 iRobot 3 mo ADTV 0.14 mm 15 Short interest 2.1 mm Market cap $581mm 10 Debt 0 S & P 500 (benchmarked Jan-09) P/10E 25.2x 5 EV/10 EBITDA 13.5x Instl holdings 57.8% 0 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10 Apr-10 Jul-10 Oct-10 Insider holdings 12.5% Valuation Ranges iRobot is a SELL: The company’s high valuation reflects overly optimistic expectations for home and military robot sales. While we are bullish on robotics, iRobot’s 52 wk range growth story has run out of steam. • Consensus is overestimating future home robot sales: Rapid yoy growth in 2010 home robot Street targets sales is the result of one-time penetration of international markets, which has concealed declining domestic sales. Entry into new markets drove growth in home robot sales in Q4 2009 and Q1 2010, 20-25x P/2011E but international sales have fallen 4% since Q1 this year, and we believe the street is overestimating international growth in 2011 (30% vs. our estimate of 18%). Domestic sales were down 29% in 8-12x Terminal 2009 and are up only 2.5% ytd. -
Sensors and Measurements for Unmanned Systems: an Overview
sensors Review Sensors and Measurements for Unmanned Systems: An Overview Eulalia Balestrieri 1,* , Pasquale Daponte 1, Luca De Vito 1 and Francesco Lamonaca 2 1 Department of Engineering, University of Sannio, 82100 Benevento, Italy; [email protected] (P.D.); [email protected] (L.D.V.) 2 Department of Computer Science, Modeling, Electronics and Systems (DIMES), University of Calabria, 87036 Rende, CS, Italy; [email protected] * Correspondence: [email protected] Abstract: The advance of technology has enabled the development of unmanned systems/vehicles used in the air, on the ground or on/in the water. The application range for these systems is continuously increasing, and unmanned platforms continue to be the subject of numerous studies and research contributions. This paper deals with the role of sensors and measurements in ensuring that unmanned systems work properly, meet the requirements of the target application, provide and increase their navigation capabilities, and suitably monitor and gain information on several physical quantities in the environment around them. Unmanned system types and the critical environmental factors affecting their performance are discussed. The measurements that these kinds of vehicles can carry out are presented and discussed, while also describing the most frequently used on-board sensor technologies, as well as their advantages and limitations. The paper provides some examples of sensor specifications related to some current applications, as well as describing the recent research contributions in the field. Citation: Balestrieri, E.; Daponte, P.; Keywords: unmanned systems; UAV; UGV; USV; UUV; sensors; payload; challenges De Vito, L.; Lamonaca, F. Sensors and Measurements for Unmanned Systems: An Overview. -
Irobot® Packbot® Accessories ONE ROBOT - UNLIMITED POSSIBILITIES Irobot: the Robot Company
iRobot® PackBot® Accessories ONE ROBOT - UNLIMITED POSSIBILITIES iRobot: The Robot Company iRobot designs and builds robots that make a difference on the land and in the water. Founded in 1990, iRobot has two decades of experience at the forefront of the global robot industry. iRobot’s defense and security robots provide enhanced situational awareness, reduce risk and increase mission success. As a leader in the global robot industry, iRobot remains committed to providing platforms for invention and discovery, developing key partnerships to foster technological exploration and building robots that improve the quality of life and safety standards worldwide. iRobot Corporation 8 Crosby Drive Bedford, MA 01730 USA Contact information 888.776.2687 (toll-free in the U.S.) +1 781.430.3090 (for international callers) [email protected] This literature has been compiled for worldwide circulation.While general information, pictures and descriptions are provided,some illustrations and text may include product options and accessories NOT AVAILABLE in all regions.iRobot reserves the right to change specification, design and price of the products described in this literature without notice. These items may be on the USML and require Department of State export license. © 2008-2014 iRobot Corporation.All rights reserved. iRobot,PackBot,CommSelect and Aware are registered trademarks of iRobot Corporation.Insight is a registered trademark of Insight Tech-Gear. Fido is a registered trademark of Flir.Hardigg is a registered trademark of Hardigg Industries. Recoilless is a registered trademark of Proparms,Ltd. PAN Disrupter is a trademark of Ideal Products,Inc. FLIR and ThermoVision are registered trademarks of FLIR Systems,Inc. -
Consumer Robotics: State of the Industry and Public Opinion
Project Number: TP1 IQP SOTA Consumer Robotics: State of the Industry and Public Opinion An Interactive Qualifying Project Report Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE In partial fulfillment of the requirements for the Degree of Bachelor of Science by David Bernstein Remy Michaud Brian Silvia Robotics Engineering Electrical Engineering Robotics Engineering Class of 2011 Class of 2011 Class of 2011 Date: May 5, 2010 Professor Taskin Padir, Project Advisor 1. Robotics 2. Consumer 3. Robots 1 Table of Contents I ‐ Introduction .......................................................................................................................................... 5 Objective ............................................................................................................................................... 6 Background ........................................................................................................................................... 6 II ‐ Methodology ...................................................................................................................................... 22 Summary of Methodology .................................................................................................................. 23 III Results ‐ ............................................................................................................................................... 28 Primary Survey Results ......................................................................................................................