The Robotic Autonomy Mobile Robotics Course: Robot Design, Curriculum Design and Educational Assessment
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Using Robotics to Equip K-12 Teachers: Silicon Prairie Initiative for Robotics in Information Technology (Spirit)
AC 2009-2198: USING ROBOTICS TO EQUIP K-12 TEACHERS: SILICON PRAIRIE INITIATIVE FOR ROBOTICS IN INFORMATION TECHNOLOGY (SPIRIT) Alisa Gilmore, University of Nebraska - Lincoln Alisa N. Gilmore, P.E. is a Senior Lecturer in the Department of Computer and Electronics Engineering at the University of Nebraska-Lincoln. She serves as senior technical staff for two NSF grants in the ITEST and Discovery K-12 programs associated with using robotics in the K-12 arena to motivate student achievement in STEM activities. She has been involved as a community outreach speaker, presenter, and collaborator with local schools, students, and teachers for over ten years, working to expose pre-college students to engineering. Ms. Gilmore has extensive industrial experience in the telecommunications and manufacturing areas, and since 2003 has used her industry background to foster industrial partnerships at the university and to develop and teach courses in circuits, telecommunications, and robotics. Bing Chen, UNL Dr. Bing Chen is chairman of the Department of Computer and Electronics Engineering on the Omaha campus of the College of Engineering, University of Nebraska - Lincoln at the Peter Kiewit Institute. He is the Principal Investigator on three NSF grants involving levels K-16 in educational robotics. His primary interest involves providing a continuous exposure to students with educational robotics both within a classroom environment and in after school settings year round to stimulate student creativity and possible pursuit of STEM careers in order to meet national long term needs and global challenges posed by competitive engineering programs overseas. His other long term research interest has been in the area of renewable energy. -
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 . -
An Introduction to the NASA Robotics Alliance Cadets Program
Session F An Introduction to the NASA Robotics Alliance Cadets Program David R. Schneider, Clare van den Blink NASA, DAVANNE, & Cornell University / Cornell University CIT [email protected], [email protected] Abstract The 2006 report National Defense Education and Innovation Initiative highlighted this nation’s growing need to revitalize undergraduate STEM education. In response, NASA has partnered with the DAVANNE Corporation to create the NASA Robotics Alliance Cadets Program to develop innovative, highly integrated and interactive curriculum to redesign the first two years of Mechanical Engineering, Electrical Engineering and Computer Science. This paper introduces the NASA Cadets Program and provides insight into the skill areas targeted by the program as well as the assessment methodology for determining the program’s effectiveness. The paper also offers a brief discussion on the capabilities of the program’s robotic platform and a justification for its design into the program. As an example of the integration of the robotic platform with the program’s methodologies, this paper concludes by outlining one of the first educational experiments of NASA Cadets Program at Cornell University to be implemented in the Spring 2007 semester. I. Introduction To be an engineer is to be a designer, a creator of new technology, and the everyday hero that solves society’s problems through innovative methods and products by making ideas become a reality. However, the opportunity to truly explore these key concepts of being an engineer are often withheld from most incoming engineering students until at least their junior year causing many new students to lose motivation and potentially leave the program. -
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. -
Modular Open Robots Simulation Engine: MORSE
Modular Open Robots Simulation Engine: MORSE Gilberto Echeverria and Nicolas Lassabe and Arnaud Degroote and Severin´ Lemaignan Abstract— This paper presents MORSE, a new open–source robotics simulator. MORSE provides several features of interest to robotics projects: it relies on a component-based architecture to simulate sensors, actuators and robots; it is flexible, able to specify simulations at variable levels of abstraction according to the systems being tested; it is capable of representing a large variety of heterogeneous robots and full 3D environments (aerial, ground, maritime); and it is designed to allow simu- lations of multiple robots systems. MORSE uses a “Software- (a) A mobile robot in an indoor scene (b) A helicopter and two mobile in-the-Loop” philosophy, i.e. it gives the possibility to evaluate ground robots outdoors the algorithms embedded in the software architecture of the robot within which they are to be integrated. Still, MORSE Fig. 1: Screenshots of the MORSE simulator. is independent of any robot architecture or communication framework (middleware). MORSE is built on top of Blender, using its powerful features and extending its functionality through Python scripts. sensor or path planning for a particular kinematic system Simulations are executed on Blender’s Game Engine mode, [3], [4], [5]; such simulators are highly specialised (“Unitary which provides a realistic graphical display of the simulated Simulation”). On the other hand, some applications require environments and allows exploiting the reputed Bullet physics a more general simulator that can allow the evaluation of engine. This paper presents the conception principles of the simulator and some use–case illustrations. -
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. -
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. -
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. -
Upgrading a Legacy Outdoors Robotic Vehicle4
Upgrading a Legacy Outdoors Robotic Vehicle4 1 1 2 Theodosis Ntegiannakis , Odysseas Mavromatakis , Savvas Piperidis , and Nikos C. Tsourveloudis3 1 Theodosis Ntegiannakis and Odysseas Mavromatakis are graduate students at the School of Production Engineering and Management, Technical University of Crete, Hellas. 2 corresponding author: Intelligent Systems and Robotics Laboratory, School of Production Engineering and Management, Technical University of Crete, 73100 Chania, Hellas, [email protected], www.robolab.tuc.gr 3 School of Production Engineering and Management, Technical University of Crete, Hellas, [email protected], www.robolab.tuc.gr Abstract. ATRV-mini was a popular, 2000's commercially available, outdoors robot. The successful upgrade procedure of a decommissioned ATRV-mini is presented in this paper. Its robust chassis construction, skid steering ability, and optional wifi connectivity were the major rea- sons for its commercial success, mainly for educational and research pur- poses. However the advances in electronics, microcontrollers and software during the last decades were not followed by the robot's manufacturer. As a result, the robot became obsolete and practically useless despite its good characteristics. The upgrade used up to date, off the shelf compo- nents and open source software tools. There was a major enhancement at robot's processing power, energy consumption, weight and autonomy time. Experimental testing proved the upgraded robot's operational in- tegrity and capability of undertaking educational, research and other typical robotic tasks. Keywords: all terrain autonomous robotic vehicle, educational robotics, ROS, robot upgrade, solar panels. 1 Introduction This work deals with the upgrading procedure of a decommissioned Real World Interface (RWI) ATRV-mini all-terrain robotic vehicle. -
A Camera-Realistic Robotics Simulator for Cinematographic Purposes
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) October 25-29, 2020, Las Vegas, NV, USA (Virtual) CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes Pablo Pueyo, Eric Cristofalo, Eduardo Montijano, and Mac Schwager Abstract— Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular in the film and entertainment industries, in part because of their maneuverability and perspectives they en- able. While there exists methods for controlling the position and orientation of the drones for visibility, other artistic elements of the filming process, such as focal blur, remain unexplored in the robotics community. The lack of cinematographic robotics solutions is partly due to the cost associated with the cameras and devices used in the filming industry, but also because state- of-the-art photo-realistic robotics simulators only utilize a full in-focus pinhole camera model which does not incorporate these desired artistic attributes. To overcome this, the main contribution of this work is to endow the well-known drone simulator, AirSim, with a cinematic camera as well as extend its API to control all of its parameters in real time, including various filming lenses and common cinematographic properties. Fig. 1. CinemAirSim allows to simulate a cinematic camera inside AirSim. In this paper, we detail the implementation of our AirSim Users can control lens parameters like the focal length, focus distance or modification, CinemAirSim, present examples that illustrate aperture, in real time. The figure shows a reproduction of a scene from “The the potential of the new tool, and highlight the new research Revenant”. We illustrate the filming drone (top left), the current camera opportunities that the use of cinematic cameras can bring to parameters (top right), the movie frame (bottom left) and simulated frame research in robotics and control. -
Automation and the Future of Work–1’, Nlr 119, Sept–Oct 2019
Part 1: New Left Review 119, Sept Oct 2019 Part 2: New Left Review 120, Nov Dec 2019 aaron benanav AUTOMATION AND THE FUTURE OF WORK—1 he world is abuzz with talk of automation. Rapid advances in artificial intelligence, machine learning and robotics seem set to transform the world of work. In the most advanced factories, companies like Tesla have been aiming for ‘lights- Tout’ production, in which fully automated work processes, no longer needing human hands, can run in the dark. Meanwhile, in the illu- minated halls of robotics conventions, machines are on display that can play ping-pong, cook food, have sex and even hold conversations. Computers are not only developing new strategies for playing Go, but are said to be writing symphonies that bring audiences to tears. Dressed in white lab coats or donning virtual suits, computers are learning to identify cancers and will soon be developing legal strategies. Trucks are already barrelling across the us without drivers; robotic dogs are carry- ing military-grade weapons across desolate plains. Are we living in the last days of human toil? Is what Edward Bellamy once called the ‘edict of Eden’ about to be revoked, as ‘men’—or at least, the wealthiest among them—become like gods?1 There are many reasons to doubt the hype. For one thing, machines remain comically incapable of opening doors or, alas, folding laundry. Robotic security guards are toppling into mall fountains. Computerized digital assistants can answer questions and translate documents, but not well enough to do the job without human intervention; the same is true of self-driving cars.2 In the midst of the American ‘Fight for Fifteen’ movement, billboards went up in San Francisco threatening to replace fast-food workers with touchscreens if a law raising the minimum wage were passed. -
ORCA - a Physics-Based Robotics Simulation Environment That Supports Distributed Systems Development
Journal of Software Engineering for Robotics 5(2), September 2014, 13-24 ISSN: 2035-3928 ORCA - a physics-based robotics simulation environment that supports distributed systems development E. Hourdakis1 G. Chliveros1 P. Trahanias1;2 1 Institute of Computer Science, Foundation for Research and Technology, Greece 2 Department of Computer Science, University of Crete, Greece Abstract—Physics-based simulation is becoming an indispensable tool in robotics research, since it enables the evaluation of algorithms in silico, even when the actual robot is not available. Due to this, it is considered a standard practice, prior to any deployment on hardware platforms, and an important part of the development activities in large-scale projects. To cope with this role, simulators must address additional issues related to large-scale model development, including multi-modal processing, provisions for algorithmic integration, and fast, scalable graphics. In the current paper we present ORCA, a versatile, physics-based robotics simulator that integrates a server and a simulation environment into one package. This type of architecture makes the sharing of resources a seamless task, promotes code re-use, and facilitates the integration of individual software modules. To demonstrate the software’s applicability, we discuss three different use-cases, in which ORCA was used at the heart of their development efforts. Index Terms—Physics simulation, robotics, sensor modeling, graphics, distributed processing. 1 INTRODUCTION starting to claim an increased share of the development activ- ities in robotics, which can involve large-scale and integrated UE to the upsurge in processing power, physics engines systems. As such, they must consider issues related to the and CAD modeling software, robotic simulators are D distributed nature of software workflow, for example the ability increasingly being used as a cost-free alternative to actual to facilitate algorithmic integration or process several complex robotic platforms [1], [2].