Towards Autonomous Localization of an Underwater Drone
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Modeling and Simulation of Motion of an Underwater Robot
2016 International Symposium on Nonlinear Theory and Its Applications, NOLTA2016, Yugawara, Japan, November 27th-30th, 2016 Modeling and Simulation of Motion of an Underwater Robot Ryo Inoharay, Kaito Isogaiy, Hideo Nakanoz, and Hideaki Okazakiy yGraduate School of Engineering, Shonan Institute of Technology 1–1–25, Tsujidounishikaigan, Fujisawa-shi, Kanagawa Prefecture 251-8511, Japan zFaculty of Engineering, Shonan Institute of Technology 1–1–25, Tsujidounishikaigan, Fujisawa-shi, Kanagawa Prefecture 251-8511, Japan Email: [email protected], [email protected], [email protected], [email protected] Abstract—This paper presents how system dynamics ics [1] of an underwater robot based on [2], [4]. The time and system control equations for an underwater robot were parameter t for all the stated variables, such as r(t), or Ω(t), derived using an Arnold-type operator to control the Open- etc., is omitted for convenience. We use the following no- ROV. Typical behavior of the OpenROV on MATLAB nu- tation as [2] (Fig 2): merical simulations is illustrated. ei 2 w (i = 1; 2; 3) are the base vectors of a right-handed Cartesian stationary coordinate system at the origin O; 2 = ; ; 1. Introduction Ei W (i 1 2 3) are the base vectors of a right moving coordinate system connected to the body at the center of Although there are several designs, control system equa- the mass Oc. tions, and dynamic equations for underwater robots, such as [1], unified methods to describe the dynamic equations Definition 1 Let w and W be oriented euclidean spaces for the rigid body kinetics of an underwater robot have yet (i.e. -
Development of an Underwater Robot
School of Science & Engineering Capstone Design Development of an Underwater Robot Oumaima Lamaakel Supervised by Dr. Kevin Scott Smith Submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in General Engineering Spring 2018 2 DEVELOPMENT OF AN UNDERWATER ROBOT FOR MUD SAMPLES PICK UP Capstone Report Student Statement: The work submitted is solely prepared by Oumaima Lamaakel and it is original. Excerpts from other’s work have been clearly identified, acknowledged and listed in the list of references. The engineering drawings, computer programs, prototype development, and testing protocols reported in this document are also original and adhere to the engineering design ethics and safety measures. ______________________ Oumaima Lamaakel Approved by the supervisor: ______________________ Dr. Kevin Scott Smith 3 Acknowledgment I am highly indebted to my supervisors prof. Kevin Smith and prof. Lorraine Casazza for their guidance, constant supervision and support throughouts the whole year. I would like to express my gratitude to prof Veronique Van Lierde for helping understand the kinematics behind manipulators, prof. Asmae Khaldoun for her feedback regarding materials selection, prof. Yassine Salih Alj for his support and coordination work, the lab technician Mr Abderahim Boulakrouch, and Al Akhawayn University and the School of Science & Engineering for giving me the opportunity to pursue this project. My gratitude extends to the members of the ROV team, who helped me assemble the prototypes, especially Jade El Haimer for his invaluable help. I would also like to thank my dear family, friends for their support throughout my undergraduate education. 4 List of Tables and Figures Table 2 Comparison of Thrusters ........................................................................................... -
Dynamic Reconfiguration of Mission Parameters in Underwater Human
Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot Collaboration Md Jahidul Islam1, Marc Ho2, and Junaed Sattar3 Abstract— This paper presents a real-time programming and in the underwater domain, what would otherwise be straight- parameter reconfiguration method for autonomous underwater forward deployments in terrestrial settings often become ex- robots in human-robot collaborative tasks. Using a set of tremely complex undertakings for underwater robots, which intuitive and meaningful hand gestures, we develop a syntacti- cally simple framework that is computationally more efficient require close human supervision. Since Wi-Fi or radio (i.e., than a complex, grammar-based approach. In the proposed electromagnetic) communication is not available or severely framework, a convolutional neural network is trained to provide degraded underwater [7], such methods cannot be used accurate hand gesture recognition; subsequently, a finite-state to instruct an AUV to dynamically reconfigure command machine-based deterministic model performs efficient gesture- parameters. The current task thus needs to be interrupted, to-instruction mapping and further improves robustness of the interaction scheme. The key aspect of this framework is and the robot needs to be brought to the surface in order that it can be easily adopted by divers for communicating to reconfigure its parameters. This is inconvenient and often simple instructions to underwater robots without using artificial expensive in terms of time and physical resources. Therefore, tags such as fiducial markers or requiring memorization of a triggering parameter changes based on human input while the potentially complex set of language rules. Extensive experiments robot is underwater, without requiring a trip to the surface, are performed both on field-trial data and through simulation, which demonstrate the robustness, efficiency, and portability of is a simpler and more efficient alternative approach. -
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. -
Preview of Award 1312333
8/9/2018 RPPR - Preview Report My Desktop Prepare & Submit Proposals Prepare Proposals in FastLane New! Prepare Proposals (Limited proposal types) Proposal Status Awards & Reporting Notifications & Requests Project Reports Submit Images/Videos Award Functions Manage Financials Program Income Reporting Grantee Cash Management Section Contacts Administration User Management Research Administration Lookup NSF ID Preview of Award 1312333 - Annual Project Report Cover | Accomplishments | Products | Participants/Organizations | Impacts | Changes/Problems | Special Requirements Cover Federal Agency and Organization Element to Which Report is Submitted: 4900 Federal Grant or Other Identifying Number Assigned by Agency: 1312333 Project Title: Scaling Up Success: Using MATE's ROV Competitions to Build a Collaborative Learning Community that Fuels the Ocean STEM Workforce Pipeline PD/PI Name: Jill M Zande, Principal Investigator Candiya Mann, Co-Principal Investigator Deidre Sullivan, Co-Principal Investigator Recipient Organization: Monterey Peninsula College Project/Grant Period: 09/15/2013 - 08/31/2019 Reporting Period: 09/01/2017 - 08/31/2018 Submitting Official (if other than PD\PI): N/A Submission Date: N/A Signature of Submitting Official (signature shall be submitted in accordance with N/A agency specific instructions) Accomplishments * What are the major goals of the project? The information included within this report covers the period from May 16, 2017 through June 30, 2018. Our ITEST Scale-Up project, Scaling up Success: Using MATE’s ROV Competitions to Build a Collaborative Learning Community that Fuels the Ocean STEM Workforce Pipeline, expands the best practices that we identified, based on evaluation data and regional reporting, as most effective in reaching, engaging, and supporting student and teacher participation in STEM. -
WORLD OCEANS WEEK BIOGRAPHIES 5-9 JUNE, 2017 Prince Albert II, HSH of Monaco
WORLD OCEANS WEEK BIOGRAPHIES 5-9 JUNE, 2017 Prince Albert II, HSH of Monaco His Highness Prince Albert II is the reigning monarch of the Principality of Monaco and head of the princely house of Grimaldi. In January 2009, Prince Albert left for a month-long expedition to Antarctica, where he visited 26 scientific outposts and met with climate-change experts in an attempt to learn more about the impact of global warming on the continent. On 23 October 2009, Prince Albert was awarded the Roger Revelle Prize for his efforts to protect the environment and to promote scientific research.This award was given to Prince Albert by the Scripps Institution of Oceanography in La Jolla, California. Prince Albert is the second recipient of this prize. Dayne Buddo Dr. Dayne Buddo is an expert in Marine Invasive Alien Species with over 10 years experience in this area of study. He has PhD in Zoology with a concentration in Marine Sciences from the University of the West Indies (UWI). Buddo's main area of research has been the invasive green mussel Perna viridis in Jamaica, and more recently Ballast Water Management and the Invasion of the Lionfish in Jamaica. For the past 10 years, Dayne has worked as a marine consultant in Jamaica, as well as the Caribbean Region on Fisheries Policy, Marine Protected Areas, Coastal Development Projects and Natural Resource Management. Buddo was recently appointed Lead Scientist at the Alligator Head Foundation in Jamaica. Graham Burnett Dr Graham Burnett is an American historian of science and a writer. He is a professor at Princeton University and an editor at Cabinet, based in Brooklyn, New York. -
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. -
Navigation of Mobile Robots Using Artificial Intelligence Technique
Navigation of Mobile Robots Using Artificial Intelligence Technique A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Bachelor of Technology in Mechanical Engineering By Rishi Gupta & Ashish Namdeo Pendam Department of Mechanical Engineering National Institute of Technology Rourkela 2007 1 Navigation of Mobile Robots Using Artificial Intelligence Technique A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Bachelor of Technology In Mechanical Engineering By Rishi Gupta & Ashish Namdeo Pendam Under the guidance of: S.K.Patel Department of Mechanical Engineering National Institute of Technology Rourkela 2007 2 National Institute of Technology Rourkela CERTIFICATE This is to certify that the thesis entitled “Navigation of mobile robots using artificial intelligence technique.’’ submitted by Rishi Gupta, Roll No: 10303063 and Ashish Namdeo Pendam , Roll No: 10303064 in the partial fulfillment of the requirement for the degree of Bachelor of Technology in Mechanical Engineering, National Institute of Technology, Rourkela , is being carried out under my supervision. To the best of my knowledge the matter embodied in the thesis has not been submitted to any other university/institute for the award of any degree or diploma. Date Professor S.K.Patel Department of Mechanical Engineering National Institute of Technology Rourkela-769008 3 Acknowledgment We avail this opportunity to extend our hearty indebtedness to our guide Professor S. K. Patel, Mechanical Engineering Department & Professor D.R.K.Parhi Mechanical Engineering Department, for their valuable guidance, constant encouragement and kind help at different stages for the execution of this dissertation work. We also express our sincere gratitude to Dr.