Building an Autonomous Humanoid Tool User
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Artificial Intelligence: Soon to Be the World’S Greatest Intelligence, Or Just a Wild Dream? Edward R
Johnson & Wales University ScholarsArchive@JWU Academic Symposium of Undergraduate College of Arts & Sciences Scholarship 3-22-2010 Artificial Intelligence: Soon to be the world’s greatest intelligence, or just a wild dream? Edward R. Kollett Johnson & Wales University - Providence, [email protected] Follow this and additional works at: https://scholarsarchive.jwu.edu/ac_symposium Part of the Artificial Intelligence and Robotics Commons, Arts and Humanities Commons, Nanoscience and Nanotechnology Commons, and the Social and Behavioral Sciences Commons Repository Citation Kollett, Edward R., "Artificial Intelligence: Soon to be the world’s greatest intelligence, or just a wild dream?" (2010). Academic Symposium of Undergraduate Scholarship. 3. https://scholarsarchive.jwu.edu/ac_symposium/3 This Research Paper is brought to you for free and open access by the College of Arts & Sciences at ScholarsArchive@JWU. It has been accepted for inclusion in Academic Symposium of Undergraduate Scholarship by an authorized administrator of ScholarsArchive@JWU. For more information, please contact [email protected]. Artificial Intelligence: Soon to be the world’s greatest intelligence, or just a wild dream? Edward Kollett Johnson & Wales University Honors Program 2009 Edward Kollett, Page 2 Artificial Intelligence is a term, coined by John McCarthy in 1956, that “in its broadest sense would indicate the ability of an artifact to perform the same kinds of functions that characterize human thought processes” (“Artificial Intelligence”). Typically, it is used today to refer to a computer program that is trying to simulate the human brain, or at least parts of it. Attempts to recreate the human brain have been a goal of mankind for centuries, but only recently, as computers have become as powerful as they are now, does the goal of a fully automated robot with human intelligence and emotional capabilities seems to be within reach. -
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. -
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. -
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. -
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 Multi-Robot Mobile Deposition for Construction
YouWasps: Towards Autonomous Multi-Robot Mobile Deposition for Construction Julius Sustarevas1, Benjamin K. X. Tan1, David Gerber2, Robert Stuart-Smith1;3 and Vijay M. Pawar1;3 Abstract— Mobile multi-robot construction systems offer new ways to optimise the on-site construction process. In this paper we begin to investigate the functionality requirements for controlling a team of robots to build structures much greater than their individual workspace. To achieve these aims, we present a mobile extruder robot called YouWasp. We also begin to explore methods for collision aware printing and construction task decomposition and allocation. These are deployed via YouWasp and enable it to deposit material autonomously. In doing so, we are able to evaluate the potential for parallelization of tasks and printing autonomy in simulation as well as physical team of robots. Altogether, these results provide a foundation for future work that enable fleets of mobile construction systems to cooperate and help us shape our built environment in new ways. Fig. 1: Visualisation of YouWasp team of robots deployed in a construction scenario. I. INTRODUCTION The US$8.8 trillion global market value[1] of the con- manufacturing companies such as Apis Cor in Russia, Win- struction sector, shows the unmatched effort that construc- sun Decoration Engineering Company in China, NASA’s tion, as a human endevour, receives. In fact, construction 3D printing in Zero-G and US Armed Forces on-site 3D is often seen as the sector at the forefront of tackling printed barracks. Within this context, typical examples use global challenges like population growth, urbanisation and either gantry-type solutions or industrial robots with 3-to- sustainability[2]. -
Robonaut 2 Fact Sheet
National Aeronautics and Space Administration Robonaut 2 facts NASA Almost 200 people from 15 countries have visited the International Space Station, but the orbiting complex has only had human crew members – until now. Robonaut 2, the latest generation of the Robonaut astronaut helpers, launched to the space station aboard space shuttle Discovery on the STS-133 mission in February 2011. It is the fi rst humanoid robot in space, and although its primary job for now is demonstrating to engineers how dexterous robots behave in space, the hope is that, through upgrades and advancements, it could one day venture outside the station to help spacewalkers make repairs or additions to the station or perform scientifi c work. R2, as the robot is called, was unpacked in April and powered up for the first time in August. Though it is currently being tested inside the Destiny laboratory, over time both its territory and its applications could expand. Initial tasks identified for R2 include velocity air measurements and handrail cleaning, both of which are simple but necessary tasks that require a great deal of crew time. R2 also has a taskboard on which to practice flipping switches and pushing buttons. Over time, the robot should graduate to more complex tasks. There are no plans to return R2 to Earth. History Work on the first Robonaut began in 1997. The idea was to build a humanoid robot that could assist astronauts on tasks in which another pair of hands would be helpful or to venture forth to perform jobs either too dangerous for crew members to risk or too mundane for them to spend time on. -
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. -
Talk with a Robot
Talk With A Robot With its small, portable, travel size, kids and adults will love to bring it around to play with. Type a custom snippet or try one of the examples. Though, it was an improvement over the depressing white/black, its charm wore out pretty quickly. © 2014 Steve Worswick. “When the robot was active, people tended to respond and give feedback to whatever the robot was doing, saying ‘Wow!’, ‘Good job. Python 100. Typically, a chat bot communicates with a real person, but applications are being developed in which two chat bots can communicate with each other. We started with some of the key features. Human Robot Intelligent That Can Talk Dance Sing Watch Home Smart Humanoid Robot For Kids Education , Find Complete Details about Human Robot Intelligent That Can Talk Dance Sing Watch Home Smart Humanoid Robot For Kids Education,Human Robot Intelligent,Human Robots,Robots That Can Talk from Toy Robots Supplier or Manufacturer-Shenzhen Yuanhexuan Industrial Co. Another communication method I want to talk about is XMLRPC, which stands for XML-formatted Remote Procedure Call. The bots have hammers attached to micro servos that they use to hit targets on the other robot. Two human look-a-like robots invented by Japanese engineers. Unemployment. The site Cleverbot. Choose a material for your robot. Typically, a chat bot communicates with a real person, but applications are being developed in which two chat bots can communicate with each other. Slideshow ( 2 images ). Type a custom snippet or try one of the examples. In this week’s Tech Talk podcast: Brian Stelter discusses recent hacks on major Web sites and the author of a new book on robots discusses what is to come. -
Italia Milano Roma Mondo Speciale Tefaf Berlino Londra New York Parigi Vienna SUPPLEMENTO DI «IL GIORNALE DELL’ARTE» N
A cura di Franco Fanelli Questo mese (Arte contemporanea e Gallerie) 146 mostre Anna Maria Farinato (Arte antica) in 72 città Laura Giuliani (Archeologia) Walter Guadagnini (Fotografia) di 15 Paesi «IL GIORNALE DELL’ARTE» | MARZO 2020 IL GIORNALE DELLE MOSTRE Italia Milano Roma Mondo Speciale Tefaf Berlino Londra New York Parigi Vienna SUPPLEMENTO DI «IL GIORNALE DELL’ARTE» N. 406 MARZO 2020 / SOCIETÀ EDITRICE ALLEMANDI N. 406 MARZO 2020 / SOCIETÀ SUPPLEMENTO DI «IL GIORNALE DELL’ARTE» Un fotogramma del video «Nova» (2019) di Cao Fei. Cortesia (2019) di Cao Fei. Un fotogramma del video «Nova» dell’artista e di Vitamin Creative Space e Sprüth Magers. Dal 4 marzo al 17 maggio l’artista progetto espositivo per le Serpentine cinese presenta un nuovo Galleries di Londra. BOLOGNA GRESSONEY-SAINT-JEAN PISTOIA VENARIA REALE IL GIORNALE DELLE MOSTRE ITALIA Bologna Tutti insieme a casa Ricomposto il Polittico Griffoni, perla del Quattrocento emiliano «Santa Lucia» di Francesco del Cossa, Washington, Bologna. La riscoperta di un capola- National Gallery of Art. voro è la realizzazione di un evento In alto, Cecilia Cavalca che resterà probabilmente irripetibi- e Mauro Natale «Nudo femminile di schiena» (1735 ca) di Pierre Subleyras e, sotto, il logo della mostra le. Nell’epico racconto di un «ritorno a casa», nel mistico ritrovarsi di quel Così, in una mostra vo- Venaria gruppo di santi eleganti e solenni, una lutamente concentrata squadra di campioni spirituali «ricon- e filologica, dove a in- vocata» dopo quasi 300 anni, c’è, infat- cantare è, come sempre ti, il sapore dell’impresa memorabile. dovrebbe essere, la rara Tra Barocco e C’è, insomma, aria di festa, a Bologna, qualità degli originali, nell’accogliere questa mostra, «La ri- l’unica concessione alla Neoclassicismo scoperta di un capolavoro. -
8. Robotic Systems Architectures and Programming
187 8. RoboticRobotic Systems Architectures and Programming Syste David Kortenkamp, Reid Simmons 8.1 Overview.............................................. 187 Robot software systems tend to be complex. This 8.1.1 Special Needs complexity is due, in large part, to the need to con- of Robot Architectures .................. 188 trol diverse sensors and actuators in real time, in 8.1.2 Modularity and Hierarchy.............. 188 the face of significant uncertainty and noise. Robot 8.1.3 Software Development Tools.......... 188 systems must work to achieve tasks while moni- toring for, and reacting to, unexpected situations. 8.2 History ................................................ 189 Doing all this concurrently and asynchronously 8.2.1 Subsumption ............................... 189 adds immensely to system complexity. 8.2.2 Layered Robot Control Architectures 190 The use of a well-conceived architecture, 8.3 Architectural Components ..................... 193 together with programming tools that support 8.3.1 Connecting Components................ 193 the architecture, can often help to manage that 8.3.2 Behavioral Control........................ 195 complexity. Currently, there is no single archi- 8.3.3 Executive .................................... 196 tecture that is best for all applications – different 8.3.4 Planning ..................................... 199 architectures have different advantages and dis- 8.4 Case Study – GRACE ............................... 200 advantages. It is important to understand those strengths and weaknesses when choosing an 8.5 The Art of Robot Architectures ............... 202 architectural approach for a given application. 8.6 Conclusions and Further Reading ........... 203 This chapter presents various approaches to architecting robotic systems. It starts by defining References .................................................. 204 terms and setting the context, including a recount- ing of the historical developments in the area of robot architectures.