A Low Cost and Sustainable Remotely Operated Vehicles Educational Program
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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]. -
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. -
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. -
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. -
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. -
An Exploratory Study of a Robotics Educational Platform On
AN EXPLORATORY STUDY OF A ROBOTICS EDUCATIONAL PLATFORM ON STEM CAREER INTERESTS IN MIDDLE SCHOOL STUDENTS by TRACY BARGER HINTON MARGARET L. RICE, COMMITTEE CHAIR ANGELA BENSON ROBERT MAYBEN REBECCA ODOM-BARTEL VIVIAN WRIGHT A DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Educational Leadership, Policy, and Technology Studies in the Graduate School of The University of Alabama TUSCALOOSA, ALABAMA 2017 Copyright Tracy Barger Hinton 2017 ALL RIGHTS RESERVED ABSTRACT With the large expected growth in STEM-related careers in American industries, there are not enough graduates to fill these positions (United States Department of Labor, 2015). Increased efforts are being made to reform STEM education from early childhood to college level studies, mainly through increased efforts to incorporate new technologies and project-based learning activities (Hegedorn & Purnamasari, 2012). At the middle school level, a robotics educational platform can be a worthwhile activity that provides hands-on learning as students learn basic programming and engineering skills (Grubbs, 2013). Based on the popularity of LEGO toys, LEGO Education developed an engaging and effective way to learn about computer programming and basic engineering concepts (Welch & Huffman, 2011). LEGO MINDSTORMS offers a project-based learning environment that engages students in real-life, problem-solving challenges. The purpose of this qualitative study was to investigate the instructional use of a robotics educational curriculum on middle school students’ attitudes toward and interests in STEM and their experiences with LEGO Robotics activities. Participants included 23 seventh grade students who were enrolled in a Career Cluster Technologies I class in a suburban middle school. -
Design and Realization of a Humanoid Robot for Fast and Autonomous Bipedal Locomotion
TECHNISCHE UNIVERSITÄT MÜNCHEN Lehrstuhl für Angewandte Mechanik Design and Realization of a Humanoid Robot for Fast and Autonomous Bipedal Locomotion Entwurf und Realisierung eines Humanoiden Roboters für Schnelles und Autonomes Laufen Dipl.-Ing. Univ. Sebastian Lohmeier Vollständiger Abdruck der von der Fakultät für Maschinenwesen der Technischen Universität München zur Erlangung des akademischen Grades eines Doktor-Ingenieurs (Dr.-Ing.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr.-Ing. Udo Lindemann Prüfer der Dissertation: 1. Univ.-Prof. Dr.-Ing. habil. Heinz Ulbrich 2. Univ.-Prof. Dr.-Ing. Horst Baier Die Dissertation wurde am 2. Juni 2010 bei der Technischen Universität München eingereicht und durch die Fakultät für Maschinenwesen am 21. Oktober 2010 angenommen. Colophon The original source for this thesis was edited in GNU Emacs and aucTEX, typeset using pdfLATEX in an automated process using GNU make, and output as PDF. The document was compiled with the LATEX 2" class AMdiss (based on the KOMA-Script class scrreprt). AMdiss is part of the AMclasses bundle that was developed by the author for writing term papers, Diploma theses and dissertations at the Institute of Applied Mechanics, Technische Universität München. Photographs and CAD screenshots were processed and enhanced with THE GIMP. Most vector graphics were drawn with CorelDraw X3, exported as Encapsulated PostScript, and edited with psfrag to obtain high-quality labeling. Some smaller and text-heavy graphics (flowcharts, etc.), as well as diagrams were created using PSTricks. The plot raw data were preprocessed with Matlab. In order to use the PostScript- based LATEX packages with pdfLATEX, a toolchain based on pst-pdf and Ghostscript was used. -
A Modular, Reconfigurable Mold for a Soft Robotic Gripper Design Activity
ORIGINAL RESEARCH published: 26 September 2017 doi: 10.3389/frobt.2017.00046 A Modular, reconfigurable Mold for a Soft Robotic Gripper Design Activity Jiawei Zhang1, Andrew Jackson2,3, Nathan Mentzer2,3 and Rebecca Kramer1,4* 1 School of Mechanical Engineering, Purdue University, West Lafayette, IN, United States, 2 Polytechnic Institute, Purdue University, West Lafayette, IN, United States, 3 College of Education, Purdue University, West Lafayette, IN, United States, 4 Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, United States Soft robotics is an emerging field with strong potential to serve as an educational tool due to its advantages such as low costs and shallow learning curves. In this paper, we introduce a modular and reconfigurable mold for flexible design of pneumatic soft robotic grippers. By using simple assembly kits, students at all levels are able to design and construct soft robotic grippers that vary in function and performance. The process of constructing the modular mold enables students to understand how design choices impact system performance. Our unique modular mold allows students to select the number and length of fingers in a gripper, as well as to adjust the internal geometry of the pneumatic actuator cavity, which dictates how and where bending of a finger occurs. In addition, the mold may be deconstructed and reconfigured, which allows for fast iterative design and lowers material costs (since a new mold does not need to be made Edited by: Matteo Cianchetti, to implement a design change). We further demonstrate the feasibility of the modular Sant’Anna School of Advanced mold by implementing it in a soft robot design activity in classrooms and showing a Studies, Italy sufficiently high rate of student success in designing and constructing a functional soft Reviewed by: Gursel ALICI, robotic gripper. -
Smart Sensors and Small Robots
IEEE Instrumentation and Measurement Technology Conference Budapest, Hungary, May 21-23, 2001. Smart Sensors and Small Robots Mel Siegel Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213-2605, USA Phone: +1 412 268 88025, Fax: +1 412 268 5569 Email: [email protected], URL: http://www.cs.cmu.edu/~mws Abstract – Robots are machines that sense, think, act and (more Thinking: Cognition is a prerequisite for adaptability, with- recently) communicate. Sensing, thinking, and communicating out which no real machine could operate for any significant have all been greatly miniaturized as a consequence of continuous progress in integrated circuit design and manufacturing technol- time in any real environment. No predetermined plan could ogy. More recent progress in MEMS (micro electro mechanical realistically anticipate every feature of the environment - and systems) now holds out promise for comparable miniaturization of if it could, the mission might be utilitarian, but it would the heretofore-retarded third member of the sense-think-act- hardly be interesting, as what would be its purpose if there communicate quartet. More speculatively, initial experiments toward microbiological approaches to robotics suggest possibilities were no new knowledge to be gained? Anyway, even a toy for even further miniaturization, perhaps eventually extending mission in a completely known environment would soon fail down to the molecular level. Alongside smart sensing for robots, in open-loop operation, as accumulated mechanical and sen- with miniaturization of the electromechanical components, i.e., the sor errors would inevitably lead to disastrous discrepancies machinery of robotic manipulation and mobility, we quite natu- rally acquire the capability of smart sensing by robots. -
Using Robotics to Enhance Active Learning in Mathematics: a Multi-Scenario Study
mathematics Article Using Robotics to Enhance Active Learning in Mathematics: A Multi-Scenario Study Edgar Lopez-Caudana 1,* , Maria Soledad Ramirez-Montoya 2, Sandra Martínez-Pérez 3 and Guillermo Rodríguez-Abitia 4 1 Tecnologico de Monterrey, School of Engineering and Sciences, Mexico City 14380, Mexico 2 Tecnologico de Monterrey, School of Humanities and Education, Monterrey 64849, Mexico; [email protected] 3 Department of Didactics and Educational Organization, Faculty of Education, University of Barcelona, 08035 Barcelona, Spain; [email protected] 4 General Direction of Computing and Information and Communications Technologies, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico; [email protected] * Correspondence: [email protected] Received: 31 October 2020; Accepted: 27 November 2020; Published: 4 December 2020 Abstract: The use of technology, which is linked to active learning strategies, can contribute to better outcomes in Mathematics education. We analyse the conditions that are necessary for achieving an effective learning of Mathematics, aided by a robotic platform. Within this framework, the question raised was “What are the conditions that promote effective active math learning with robotic support?” Interventions at different educational scenarios were carried in order to explore three educational levels: elementary, secondary, and high school. Qualitative and quantitative analyses were performed, comparing the control and treatment groups for all scenarios through examinations, direct observations, and testimonials. The findings point to three key conditions: level, motivation, and teacher training. The obtained results show a very favourable impact on the attention and motivation of the students, and they allow for establishing the conditions that need to be met for an effective relationship between the teacher and the technological tool, so that better learning outcomes in Mathematics are more likely to be obtained. -
Combining Search and Action for Mobile Robots
Combining Search and Action for Mobile Robots Geoffrey Hollinger, Dave Ferguson, Siddhartha Srinivasa, and Sanjiv Singh Abstract— We explore the interconnection between search and action in the context of mobile robotics. The task of searching for an object and then performing some action with that object is important in many applications. Of particular interest to us is the idea of a robot assistant capable of performing worthwhile tasks around the home and office (e.g., fetching coffee, washing dirty dishes, etc.). We prove that some tasks allow for search and action to be completely decoupled and solved separately, while other tasks require the problems to be analyzed together. We complement our theoretical results with the design of a combined search/action approximation algorithm that draws on prior work in search. We show the effectiveness of our algorithm by comparing it to state-of-the- art solvers, and we give empirical evidence showing that search and action can be decoupled for some useful tasks. Finally, Fig. 1. Mobile manipulator: Segway RMP200 base with Barrett WAM arm we demonstrate our algorithm on an autonomous mobile robot and hand. The robot uses a wrist camera to recognize objects and a SICK laser rangefinder to localize itself in the environment performing object search and delivery in an office environment. I. INTRODUCTION objects (or targets) of interest. A concrete example is a robot Think back to the last time you lost your car keys. While that refreshes coffee in an office. This robot must find coffee looking for them, a few considerations likely crossed your mugs, wash them, refill them, and return them to office mind. -
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.