Mobile Robots and Walking Machines
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Autonomous Mobile Systems for Long-Term Operations in Spatio-Temporal Environments Cedric Pradalier
Autonomous Mobile Systems for Long-Term Operations in Spatio-Temporal Environments Cedric Pradalier To cite this version: Cedric Pradalier. Autonomous Mobile Systems for Long-Term Operations in Spatio-Temporal Envi- ronments. Robotics [cs.RO]. INP DE TOULOUSE, 2015. tel-01435879 HAL Id: tel-01435879 https://hal.archives-ouvertes.fr/tel-01435879 Submitted on 20 Jan 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Autonomous Mobile Systems for Long-Term Operations in Spatio-Temporal Environments Synth`ese des travaux de recherche r´ealis´es en vue de l’obtention de l’Habilitation `aDiriger des Recherches de l’Institut National Polytechnique de Toulouse C´edric PRADALIER GeorgiaTech Lorraine – UMI 2958 GT-CNRS 2, rue Marconi 57070 METZ, France [email protected] Soutenue le Vendredi 6 Juin 2015 au LAAS/CNRS Membres du jury: Francois Chaumette, INRIA, Rapporteur Tim Barfoot, University of Toronto, Rapporteur Henrik Christensen, Georgia Institute of Technology, Rapporteur Olivier Simonin, INSA Lyon, Examinateur Roland Lenain, IRSTEA, Examinateur Florent Lamiraux, LAAS/CNRS, Examinateur Simon Lacroix, LAAS/CNRS, Examinateur Contents 1 Introduction 2 2 Autonomous mobile systems for natural and unmodified environments 4 2.1 Localization, navigation and control for mobile robotic systems . -
Learning Maps for Indoor Mobile Robot Navigation
Learning Maps for Indoor Mobile Robot Navigation Sebastian Thrun Arno BÈucken April 1996 CMU-CS-96-121 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 The ®rst author is partly and the second author exclusively af®liated with the Computer Science Department III of the University of Bonn, Germany, where part of this research was carried out. This research is sponsored in part by the National Science Foundation under award IRI-9313367, and by the Wright Laboratory, Aeronautical Systems Center, Air Force Materiel Command, USAF, and the Advanced Research Projects Agency (ARPA) under grant number F33615-93-1-1330. The views and conclusionscontained in this documentare those of the author and should not be interpreted as necessarily representing of®cial policies or endorsements, either expressed or implied, of NSF, Wright Laboratory or the United States Government. Keywords: autonomous robots, exploration, mobile robots, neural networks, occupancy grids, path planning, planning, robot mapping, topological maps Abstract Autonomous robots must be able to learn and maintain models of their environ- ments. Research on mobile robot navigation has produced two major paradigms for mapping indoor environments: grid-based and topological. While grid-based methods produce accurate metric maps, their complexity often prohibits ef®cient planning and problem solving in large-scale indoor environments. Topological maps, on the other hand, can be used much more ef®ciently, yet accurate and consistent topological maps are considerably dif®cult to learn in large-scale envi- ronments. This paper describes an approach that integrates both paradigms: grid-based and topological. Grid-based maps are learned using arti®cial neural networks and Bayesian integration. -
Towards Autonomous Localization of an Underwater Drone
TOWARDS AUTONOMOUS LOCALIZATION OF AN UNDERWATER DRONE A Thesis presented to the Faculty of California Polytechnic State University, San Luis Obispo In Partial Fulfillment of the Requirements for the Degree Master of Science in Computer Science by Nathan Sfard June 2018 c 2018 Nathan Sfard ALL RIGHTS RESERVED ii COMMITTEE MEMBERSHIP TITLE: Towards Autonomous Localization of an Underwater Drone AUTHOR: Nathan Sfard DATE SUBMITTED: June 2018 COMMITTEE CHAIR: Lynne Slivovsky, Ph.D. Professor of Computer Engineering COMMITTEE MEMBER: John Seng, Ph.D. Professor of Computer Science COMMITTEE MEMBER: Xiao-Hua Yu, Ph.D. Professor of Electrical Engineering iii ABSTRACT Towards Autonomous Localization of an Underwater Drone Nathan Sfard Autonomous vehicle navigation is a complex and challenging task. Land and aerial vehicles often use highly accurate GPS sensors to localize themselves in their envi- ronments. These sensors are ineffective in underwater environments due to signal attenuation. Autonomous underwater vehicles utilize one or more of the following approaches for successful localization and navigation: inertial/dead-reckoning, acous- tic signals, and geophysical data. This thesis examines autonomous localization in a simulated environment for an OpenROV Underwater Drone using a Kalman Fil- ter. This filter performs state estimation for a dead reckoning system exhibiting an additive error in location measurements. We evaluate the accuracy of this Kalman Filter by analyzing the effect each parameter has on accuracy, then choosing the best combination of parameter values to assess the overall accuracy of the Kalman Filter. We find that the two parameters with the greatest effects on the system are the con- stant acceleration and the measurement uncertainty of the system. -
Wireless Control of Serpentine Like Robot for Industrial Inspection and Surveillance Controller, Camera Sensor Part, and Zigbee Network B
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-2 Issue-3, July 2013 Wireless Control of Serpentine like Robot for Industrial Inspection and Surveillance K. Gafoor Raja, G. Ramakrishna Abstract— This paper focuses on a Robot which is biologically It is often used by snakes to move on loose or slippery inspired from nature. Snakes are unique because they utilize the surfaces like sand or mud, in such cases the snake appears to irregularities in the terrain and make an effective motion. This throw its head forward and the rest of its body follows motion robot is designed to visualize the situation and to measure the while the head is thrown forward again. (4) Rectilinear environment parameters. Snake is composed of segments, those method: This is a slow, creeping, straight movement. The are individually controlled. In particular the locomotion of snake uses some of the wide scales on its belly to grip the snake is controlled by CAN-bus. Among the all available buses ground while pushing forward with the others. These the CAN-bus is faster and provides real time data transfer. A methods will create new possibilities to make things possible wireless technology (ZigBee) is introduced between robot section and monitoring section. The measured values are updated on the in many rescue applications like in disastrous, risky and PC. perilous situations [11]. Index Terms— Snake Robot, CAN-bus, locomotion control, II. SYSTEM ARCHITECTURE surveillance, sensing. Monitoring section I. INTRODUCTION Many manmade machines are inspired from the nature. Among many available creatures around the world snakes are those whose ability to penetrating through many terrains. -
Autonomous Robot Navigation in Highly Populated Pedestrian Zones
Autonomous Robot Navigation in Highly Populated Pedestrian Zones Rainer K¨ummerle Michael Ruhnke Department of Computer Science Department of Computer Science University of Freiburg University of Freiburg 79110 Freiburg, Germany 79110 Freiburg, Germany [email protected] [email protected] Bastian Steder Cyrill Stachniss Department of Computer Science Department of Computer Science University of Freiburg University of Freiburg 79110 Freiburg, Germany 79110 Freiburg, Germany [email protected] [email protected] Wolfram Burgard Department of Computer Science University of Freiburg 79110 Freiburg, Germany [email protected] Abstract In the past, there has been a tremendous progress in the area of autonomous robot naviga- tion and a large variety of robots have been developed who demonstrated robust navigation capabilities indoors, in non-urban outdoor environments, or on roads and relatively few ap- proaches focus on navigation in urban environments such as city centers. Urban areas, how- ever, introduce numerous challenges for autonomous robots as they are rather unstructured and dynamic. In this paper, we present a navigation system for mobile robots designed to operate in crowded city environments and pedestrian zones. We describe the different com- ponents of this system including a SLAM module for dealing with huge maps of city centers, a planning component for inferring feasible paths taking also into account the traversability and type of terrain, a module for accurate localization in dynamic environments, and means for calibrating and monitoring the platform. Our navigation system has been implemented and tested in several large-scale field tests, in which a real robot autonomously navigated over several kilometers in a complex urban environment. -
Educational Outdoor Mobile Robot for Trash Pickup
Educational Outdoor Mobile Robot for Trash Pickup Kiran Pattanashetty, Kamal P. Balaji, and Shunmugham R Pandian, Senior Member, IEEE Department of Electrical and Electronics Engineering Indian Institute of Information Technology, Design and Manufacturing-Kancheepuram Chennai 600127, Tamil Nadu, India [email protected] Abstract— Machines in general and robots in particular, programs to motivate and retain students [3]. The playful appeal greatly to children and youth. With the widespread learning potential of robotics (and the related field of availability of low-cost open source hardware and free open mechatronics) means that college students could be involved source software, robotics has become central to the promotion of in service learning through introducing school children to STEM education in schools, and active learning at design, machines, robots, electronics, computers, college/university level. With robots, children in developed countries gain from technological immersion, or exposure to the programming, environmental literacy, and so on, e.g., [4], [5]. latest technologies and gadgets. Yet, developing countries like A comprehensive review of studies on introducing robotics in India still lag in the use of robots at school and even college level. K-12 STEM education is presented by Karim, et al [6]. It In this paper, an innovative and low-cost educational outdoor concludes that robots play a positive role in educational mobile robot is developed for deployment by school children learning, and promote creative thinking and problem solving during volunteer trash pickup. The wheeled mobile robot is skills. It also identifies the need for standardized evaluation constructed with inexpensive commercial off-the-shelf techniques on the effectiveness of robotics-based learning, and components, including single board computer and miscellaneous for tailored pedagogical modules and teacher training. -
A Neural Schema Architecture for Autonomous Robots
A Neural Schema Architecture for Autonomous Robots Alfredo Weitzenfeld División Académica de Computación Instituto Tecnológico Autónomo de México Río Hondo #1, San Angel Tizapán México, DF, CP 01000, MEXICO Email: [email protected] Ronald Arkin College of Computing Georgia Institute of Technology Atlanta, GA 30332-0280, USA Email: [email protected] Francisco Cervantes División Académica de Computación Instituto Tecnológico Autónomo de México Río Hondo #1, San Angel Tizapán México, DF, CP 01000, MEXICO Email: [email protected] Roberto Olivares College of Computing Georgia Institute of Technology Atlanta, GA 30332-0280, USA Email: [email protected] Fernando Corbacho Departamento de Ingeniería Informática Universidad Autónoma de Madrid 28049 Madrid, ESPAÑA Email: [email protected] Areas: Robotics, Agent-oriented programming, Neural Nets Acknowledgements This research is supported by the National Science Foundation in the U.S. (Grant #IRI-9505864) and CONACyT in Mexico (Grant #546500-5-C006-A). A Neural Schema Architecture for Autonomous Robots Abstract As autonomous robots become more complex in their behavior, more sophisticated software architectures are required to support the ever more sophisticated robotics software. These software architectures must support complex behaviors involving adaptation and learning, implemented, in particular, by neural networks. We present in this paper a neural based schema [2] software architecture for the development and execution of autonomous robots in both simulated and real worlds. This architecture has been developed in the context of adaptive robotic agents, ecological robots [6], cooperating and competing with each other in adapting to their environment. The architecture is the result of integrating a number of development and execution systems: NSL, a neural simulation language; ASL, an abstract schema language; and MissionLab, a schema-based mission-oriented simulation and robot system. -
Toward Automatic Reconfiguration of Robot-Sensor Networks for Urban
Toward Automatic Reconfiguration of Robot-Sensor Networks for Urban Search and Rescue Joshua Reich Elizabeth Sklar Department of Computer Science Dept of Computer and Information Science Columbia University Brooklyn College, City University of New York 1214 Amsterdam Ave, New York NY 10027 USA 2900 Bedford Ave, Brooklyn NY, 11210 USA [email protected] [email protected] ABSTRACT that information be able, eventually, to make its way to An urban search and rescue environment is generally ex- designated “contact” nodes which can transmit signals back plored with two high-level goals: first, to map the space in to a “home base”. It is advantageous for the network to pos- three dimensions using a local, relative coordinate frame of sess reliable and complete end-to-end network connectivity; reference; and second, to identify targets within that space, however, even when the network is not fully connected, mo- such as human victims, data recorders, suspected terror- bile robots may act as conduits of information — either by ist devices or other valuable or possibly hazardous objects. positioning themselves tactically to fill connectivity gaps, or The work presented here considers a team of heterogeneous by distributing information as they physically travel around agents and examines strategies in which a potentially very the network space. This strategy also enables replacement large number of small, simple, sensor agents with limited of failed nodes and dynamic modification of network topol- mobility are deployed by a smaller number of larger robotic ogy to provide not only greater network connectivity but agents with limited sensing capabilities but enhanced mo- also improved area coverage. -
|||GET||| Robots 1St Edition
ROBOTS 1ST EDITION DOWNLOAD FREE John M Jordan | 9780262529501 | | | | | Building Robots with LEGO Mindstorms NXT It relied primarily on stereo vision to navigate and determine distances. Please note the delivery estimate is greater than 6 business days. Continue shopping. Mark Zug illustrator. Illustrator: Hoban, Robots 1st edition. But the large drum memory made programming time-consuming and Robots 1st edition. Technological unemployment Terrainability Fictional robots. The robot opened up a beer, struck a golfball to its target and even conducted the shows band. First edition, first printing. Commercial and industrial robots are now in widespread use performing jobs more cheaply or with greater accuracy and reliability than humans. Condition: Very Good. For additional information, see the Global Shipping Program terms and conditions - opens in a new window or tab This amount includes applicable customs duties, taxes, Robots 1st edition and other fees. In new protective mylar. Condition: Good. Institutional Subscription. Got one to sell? The robot could move its hands and head and could be controlled by remote control or voice control. Add to Watchlist. From Wikipedia, the free encyclopedia. Seller Image. Graduate students, researchers, academics and professionals in the areas of human Robots 1st edition, robotics, social psychology, and engineering psychology. General Motors had left all its competition behind in the dust with the sheer number of cars it was producing. Users can choose from seven factory presets for tunings, six of which are editable. Himber Lebanon, NJ, U. Printing Year see all. The ultimate attempt at automation was The Turk by Wolfgang von Kempelena sophisticated machine that could play chess against a human opponent and toured Europe. -
Walking Machines: 0-Legged-Robots
limbless mobile robots file:///E|/Eigene Dateien/Leonardo/Stud...NoLegs-CD/RoboterLaufenNoLegsLocal.html Walking machines: 0-legged-robots (only snake-like robots, so far) A compilation by Christian Düntgen Pictorial Overview on Crawling Robots ACM III KORYU I KORYU II OBLIX Chabin's snake GMD-Snake GMD-Snake2 JPL-Snake Mita-Lab Snake NEC-'Quake'-Snake Snakey Shan's Snake 1 of 16 26.08.00 18:45 limbless mobile robots file:///E|/Eigene Dateien/Leonardo/Stud...NoLegs-CD/RoboterLaufenNoLegsLocal.html ATMS KAA Snake 'Henrietta' JHU Metamorphical Robot Model I. Motivation Snakes populate wide regions of our planet. They use different methods to move within varying environments (sand, water, solid surface, within trees, ...). They can even climb obstacles and pass rough, smooth and slippery surfaces. Robotic snake might be used to inspect pipes and underground locations or to explore rough territories. As snakes have a lot of degrees of freedoms, their construction pattern is interesting for manipulators e.g. to work with dangerous materials. Snake-like architectures' high degree of freedoms and allow three-dimensional locomotion and a lot of other tasks as gripping, moving or transporting objects with the body. Advantages of snake like motion 1. Terrainability Snake like robots can traverse rough terrain: they can climb steps whose heights approach its longest linear dimension, pass soft or viscous materials, span gasps, etc. 2. Traction Snakes can use almost their full bodylenght to apply forces to the ground. 3. Efficiency Low costs of body support, no cost of limb motion. But: high friction losses, lateral accelerations of the body. -
Autonomous Navigation Field Results of a Planetary Analog Robot in Antarctica
AUTONOMOUS NAVIGATION FIELD RESULTS OF A PLANETARY ANALOG ROBOT IN ANTARCTICA Stewart Moorehead, Reid Simmons, Dimitrios Apostolopoulos and William "Red" Whittaker The Robotics Institute Carnegie Mellon University 5000 Forbes Ave. Pittsburgh, PA. 15213 U.S.A. phone: 1-412-268-7086, fax: 1-412-268-5895, email: [email protected] phone: 1-412-268-262 1, fax: 1-412-268-5576, email: [email protected] phone: 1-412-268-7224, fax: 1-412-268- 1488, email: [email protected] phone: 1-412-268-6556, fax: 1-412-682-1 793, email: [email protected] ABSTRACT tion in polar terrain and meteorite detection/classification 191. Experiments were also performed on characterizing The Robotic Antarctic Meteorite Search at Curnegie Mel- laser and stereo sensors [14], systematic patterned search lon is developing robotic technologies to allow for auton- [lo], ice and snow mobility, landmark based navigation omous seart.h and class$cation of meteorites in and millimeter wave radar [I]. Foot search by the expedi- Antarctica. In November 1998, the robot Nomad was tion found two meteorites [5]. r1eployc.d in the Patriot Hills region of Antarctica to per- ,form several demonstrations and experiments of these technologies in a polar environment. Nomad drove 10.3km autonomously in Antarctica under a variety of weather and terrain conditions. This paperpre- sents the results of this traverse, the ability of stereo ~lisionand laser scanner to perceive polar terrain and the rlutonomous navigation system used. 1 INTRODUCTION From the Lunakhods on the Moon to Sojourner on Mars 161, mobile robots have demonstrated their usefulness to planetary exploration. -
Autonomous Amphibious Robot Navigation Through the Littoral Zone
AUTONOMOUS AMPHIBIOUS ROBOT NAVIGATION THROUGH THE LITTORAL ZONE by Mark Borg A thesis submitted to the School of Graduate and Postdoctoral Studies in partial fulfillment of the requirements for the degree of PhD in Mechanical Engineering The Faculty of Engineering and Applied Science Mechanical Engineering University of Ontario Institute of Technology (Ontario Tech University) Oshawa, Ontario, Canada March 2021 © Mark Borg, 2021 THESIS EXAMINATION INFORMATION Submitted by: Mark Borg PhD in Mechanical Engineering Thesis title: AUTONOMOUS AMPHIBIOUS ROBOT NAVIGATION THROUGH THE LITTORAL ZONE An oral defense of this thesis took place on March 4, 2021 in front of the following examining committee: Examining Committee: Chair of Examining Committee Dr. Amirkianoosh Kiani Research Supervisor Dr. Scott Nokleby Examining Committee Member Dr. Remon Pop-Iliev Examining Committee Member Dr. Haoxiang Lang University Examiner Dr. Jing Ren External Examiner Dr. Brad Buckham, University of Victoria The above committee determined that the thesis is acceptable in form and content and that a satisfactory knowledge of the field covered by the thesis was demonstrated by the candidate during an oral examination. A signed copy of the Certificate of Approval is available from the School of Graduate and Postdoctoral Studies. ii ABSTRACT The majority of autonomous robotic research is performed on aerial and land based robots. Robots that operate above or below the water are less prevalent in the re-search. This is due to the complexity of the environment that water introduces to a robot. An outdoor, natural setting, which includes water, will present multiple, fluctuating variables to the robot. These variables can include, but are not limited to, temperature, height, location, amount of flotation, causticity, and clarity.