A Taxonomy for Mobile Robots: Types, Applications, Capabilities, Implementations, Requirements, and Challenges
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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. -
Remote and Autonomous Controlled Robotic Car Based on Arduino with Real Time Obstacle Detection and Avoidance
Universal Journal of Engineering Science 7(1): 1-7, 2019 http://www.hrpub.org DOI: 10.13189/ujes.2019.070101 Remote and Autonomous Controlled Robotic Car based on Arduino with Real Time Obstacle Detection and Avoidance Esra Yılmaz, Sibel T. Özyer* Department of Computer Engineering, Çankaya University, Turkey Copyright©2019 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract In robotic car, real time obstacle detection electronic devices. The environment can be any physical and obstacle avoidance are significant issues. In this study, environment such as military areas, airports, factories, design and implementation of a robotic car have been hospitals, shopping malls, and electronic devices can be presented with regards to hardware, software and smartphones, robots, tablets, smart clocks. These devices communication environments with real time obstacle have a wide range of applications to control, protect, image detection and obstacle avoidance. Arduino platform, and identification in the industrial process. Today, there are android application and Bluetooth technology have been hundreds of types of sensors produced by the development used to implementation of the system. In this paper, robotic of technology such as heat, pressure, obstacle recognizer, car design and application with using sensor programming human detecting. Sensors were used for lighting purposes on a platform has been presented. This robotic device has in the past, but now they are used to make life easier. been developed with the interaction of Android-based Thanks to technology in the field of electronics, incredibly device. -
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. -
Human to Robot Whole-Body Motion Transfer
Human to Robot Whole-Body Motion Transfer Miguel Arduengo1, Ana Arduengo1, Adria` Colome´1, Joan Lobo-Prat1 and Carme Torras1 Abstract— Transferring human motion to a mobile robotic manipulator and ensuring safe physical human-robot interac- tion are crucial steps towards automating complex manipu- lation tasks in human-shared environments. In this work, we present a novel human to robot whole-body motion transfer framework. We propose a general solution to the correspon- dence problem, namely a mapping between the observed human posture and the robot one. For achieving real-time imitation and effective redundancy resolution, we use the whole-body control paradigm, proposing a specific task hierarchy, and present a differential drive control algorithm for the wheeled robot base. To ensure safe physical human-robot interaction, we propose a novel variable admittance controller that stably adapts the dynamics of the end-effector to switch between stiff and compliant behaviors. We validate our approach through several real-world experiments with the TIAGo robot. Results show effective real-time imitation and dynamic behavior adaptation. Fig. 1. Transferring human motion to robots while ensuring safe human- This constitutes an easy way for a non-expert to transfer a robot physical interaction can be a powerful and intuitive tool for teaching assistive tasks such as helping people with reduced mobility to get dressed. manipulation skill to an assistive robot. The classical approach for human motion transfer is I. INTRODUCTION kinesthetic teaching. The teacher holds the robot along the Service robots may assist people at home in the future. trajectories to be followed to accomplish a specific task, However, robotic systems still face several challenges in while the robot does gravity compensation [6]. -
AUV Adaptive Sampling Methods: a Review
applied sciences Review AUV Adaptive Sampling Methods: A Review Jimin Hwang 1 , Neil Bose 2 and Shuangshuang Fan 3,* 1 Australian Maritime College, University of Tasmania, Launceston 7250, TAS, Australia; [email protected] 2 Department of Ocean and Naval Architectural Engineering, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada; [email protected] 3 School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, China * Correspondence: [email protected] Received: 16 July 2019; Accepted: 29 July 2019; Published: 2 August 2019 Abstract: Autonomous underwater vehicles (AUVs) are unmanned marine robots that have been used for a broad range of oceanographic missions. They are programmed to perform at various levels of autonomy, including autonomous behaviours and intelligent behaviours. Adaptive sampling is one class of intelligent behaviour that allows the vehicle to autonomously make decisions during a mission in response to environment changes and vehicle state changes. Having a closed-loop control architecture, an AUV can perceive the environment, interpret the data and take follow-up measures. Thus, the mission plan can be modified, sampling criteria can be adjusted, and target features can be traced. This paper presents an overview of existing adaptive sampling techniques. Included are adaptive mission uses and underlying methods for perception, interpretation and reaction to underwater phenomena in AUV operations. The potential for future research in adaptive missions is discussed. Keywords: autonomous underwater vehicle(s); maritime robotics; adaptive sampling; underwater feature tracking; in-situ sensors; sensor fusion 1. Introduction Autonomous underwater vehicles (AUVs) are unmanned marine robots. Owing to their mobility and increased ability to accommodate sensors, they have been used for a broad range of oceanographic missions, such as surveying underwater plumes and other phenomena, collecting bathymetric data and tracking oceanographic dynamic features. -
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. -
Development of an Open Humanoid Robot Platform for Research and Autonomous Soccer Playing
Development of an Open Humanoid Robot Platform for Research and Autonomous Soccer Playing Karl J. Muecke and Dennis W. Hong RoMeLa: Robotics and Mechanisms Lab Virginia Tech Blacksburg, VA 24061 [email protected], [email protected] Abstract This paper describes the development of a fully autonomous humanoid robot for locomotion research and as the first US entry in to RoboCup. DARwIn (Dynamic Anthropomorphic Robot with Intelligence) is a humanoid robot capable of bipedal walking and performing human like motions. As the years have progressed, DARwIn has evolved from a concept to a sophisticated robot platform. DARwIn 0 was a feasibility study that investigated the possibility of making a humanoid robot walk. Its successor, DARwIn I, was a design study that investigated how to create a humanoid robot with human proportions, range of motion, and kinematic structure. DARwIn IIa built on the name ªhumanoidº by adding autonomy. DARwIn IIb improved on its predecessor by adding more powerful actuators and modular computing components. Finally, DARwIn III is designed to take the best of all the designs and incorporate the robot's most advanced motion control yet. Introduction Dynamic Anthropomorphic Robot with Intelligence (DARwIn), a humanoid robot, is a sophisticated hardware platform used for studying bipedal gaits that has evolved over time. Five versions of DARwIn have been developed, each an improvement on its predecessor. The first version, DARwIn 0 (Figure 1a), was used as a design study to determine the feasibility of creating a humanoid robot abd for actuator evaluation. The second version, DARwIn I (Figure 1b), used improved gaits and software. -
Executive Summary World Robotics 2019 Service Robots 11
Executive Summary World Robotics 2019 Service Robots 11 Executive Summary World Robotics 2019 Service Robots Service robotics encompasses a broad field of applications, most of which having unique designs and different degrees of automation – from full tele-operation to fully autonomous operation. Hence, the industry is more diverse than the industrial robot industry (which is extensively treated in the companion publication World Robotics – Industrial Robots 2019). IFR Statistical Department is currently aware of more than 750 companies producing service robots or doing commercial research for marketable products. A full list is included in chapter 4 of World Robotics Service Robots 2019. IFR Statistical Department is continuously seeking for new service robot producers, so please contact [email protected] if you represent such a company and would like to participate in the annual survey conducted in the first quarter of each year. Participants receive the survey results free of charge. Sales of professional service robots on the rise The total number of professional service robots sold in 2018 rose by 61% to more than 271,000 units, up from roughly 168,000 in 2017. The sales value increased by 32% to USD 9.2 billion. Autonomous guided vehicles (AGVs) represent the largest fraction in the professional service robot market (41% of all units sold). They are established in non-manufacturing environments, mainly logistics, and have lots of potential in manufacturing. The second largest category (39% of all units sold), inspection and maintenance robots, covers a wide range of robots from rather low-priced standard units to expensive custom solutions. Service robots for defense applications accounted for 5% of the total number of service robots for professional use sold in 2018. -
Autonomous Mobile Robots Annual Report 1985
The Mobile Robot Laboratory Sonar Mapping, Imaging and Navigation Visual Navigation Road Following i Motion Control The Robots Motivation Publications Autonomous Mobile Robots Annual Report 1985 Mobile Robot Laboratory CM U-KI-TK-86-4 Mobile Robot Laboratory The Robotics Institute Carncgie Mcllon University Pittsburgh, Pcnnsylvania 15213 February 1985 Copyright @ 1986 Carnegie-Mellon University This rcscarch was sponsored by The Office of Naval Research, under Contract Number NO00 14-81-K-0503. 1 Table of Contents The Mobile Robot Laboratory ‘I’owards Autonomous Vchiclcs - Moravcc ct 31. 1 Sonar Mapping, Imaging and Navigation High Resolution Maps from Wide Angle Sonar - Moravec, et al. 19 A Sonar-Based Mapping and Navigation System - Elfes 25 Three-Dirncnsional Imaging with Cheap Sonar - Moravec 31 Visual Navigation Experiments and Thoughts on Visual Navigation - Thorpe et al. 35 Path Relaxation: Path Planning for a Mobile Robot - Thorpe 39 Uncertainty Handling in 3-D Stereo Navigation - Matthies 43 Road Following First Resu!ts in Robot Road Following - Wallace et al. 65 A Modified Hough Transform for Lines - Wallace 73 Progress in Robot Road Following - Wallace et al. 77 Motion Control Pulse-Width Modulation Control of Brushless DC Motors - Muir et al. 85 Kinematic Modelling of Wheeled Mobile Robots - Muir et al. 93 Dynamic Trajectories for Mobile Robots - Shin 111 The Robots The Neptune Mobile Robot - Podnar 123 The Uranus Mobile Robot, a First Look - Podnar 127 Motivation Robots that Rove - Moravec 131 Bibliography 147 ii Abstract Sincc 13s 1. (lic Mobilc I<obot IAoratory of thc Kohotics Institute 01' Crrrncfiic-Mcllon IInivcnity has conduclcd hsic rcscarcli in aTCiiS crucial fur ;iiitonomoiis robots. -
The Autonomous Underwater Vehicle Initiative – Project Mako
Published at: 2004 IEEE Conference on Robotics, Automation, and Mechatronics (IEEE-RAM), Dec. 2004, Singapore, pp. 446-451 (6) The Autonomous Underwater Vehicle Initiative – Project Mako Thomas Bräunl, Adrian Boeing, Louis Gonzales, Andreas Koestler, Minh Nguyen, Joshua Petitt The University of Western Australia EECE – CIIPS – Mobile Robot Lab Crawley, Perth, Western Australia [email protected] Abstract—We present the design of an autonomous underwater vehicle and a simulation system for AUVs as part II. AUV COMPETITION of the initiative for establishing a new international The AUV Competition will comprise two different competition for autonomous underwater vehicles, both streams with similar tasks physical and simulated. This paper describes the competition outline with sample tasks, as well as the construction of the • Physical AUV competition and AUV and the simulation platform. 1 • Simulated AUV competition Competitors have to solve the same tasks in both Keywords—autonomous underwater vehicles; simulation; streams. While teams in the physical AUV competition competition; robotics have to build their own AUV (see Chapter 3 for a description of a possible entry), the simulated AUV I. INTRODUCTION competition only requires the design of application Mobile robot research has been greatly influenced by software that runs with the SubSim AUV simulation robot competitions for over 25 years [2]. Following the system (see Chapter 4). MicroMouse Contest and numerous other robot The competition tasks anticipated for the first AUV competitions, the last decade has been dominated by robot competition (physical and simulation) to be held around soccer through the FIRA [6] and RoboCup [5] July 2005 in Perth, Western Australia, are described organizations. -
How Humanoid Robots Influence Service Experiences and Food Consumption
Marketing Science Institute Working Paper Series 2017 Report No. 17-125 Service Robots Rising: How Humanoid Robots Influence Service Experiences and Food Consumption Martin Mende, Maura L. Scott, Jenny van Doorn, Ilana Shanks, and Dhruv Grewal “Service Robots Rising: How Humanoid Robots Influence Service Experiences and Food Consumption” © 2017 Martin Mende, Maura L. Scott, Jenny van Doorn, Ilana Shanks, and Dhruv Grewal; Report Summary © 2017 Marketing Science Institute MSI working papers are distributed for the benefit of MSI corporate and academic members means, electronic or mechanical, without written permission. Report Summary Interactions between consumers and humanoid service robots (i.e., robots with a human-like morphology such as a face, arms, and legs) soon will be part of routine marketplace experiences, and represent a primary arena for innovation in services and shopper marketing. At the same time, it is not clear whether humanoid robots, relative to human employees, trigger positive or negative consequences for consumers and companies. Although creating robots that appear as much like humans as possible is the “holy grail” in robotics, there is a risk that consumers will respond negatively to highly human-like robots, due to the feelings of discomfort that such robots can evoke. Here, Martin Mende, Maura Scott, Jenny van Doorn, Ilana Shanks, and Dhruv Grewal investigate whether humanoid service robots (HSRs) trigger discomfort and what the consequences might be for customers’ service experiences. They focus on the effects of HSRs in a food consumption context. Six experimental studies, conducted in the context of restaurant services, reveal that consumers report lower assessments of the server when their food is served by a humanoid service robot than by a human server, but their desire for food and their actual food consumption increases.