The Autonomous Underwater Vehicle Initiative – Project Mako
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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]. -
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. -
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. -
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. -
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. -
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. -
Model Characteristics and Properties of Nanorobots in the Bloodstream Michael Makoto Zimmer
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2005 Model Characteristics and Properties of Nanorobots in the Bloodstream Michael Makoto Zimmer Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY FAMU-FSU COLLEGE OF ENGINEERING MODEL CHARACTERISTICS AND PROPERTIES OF NANOROBOTS IN THE BLOODSTREAM By MICHAEL MAKOTO ZIMMER A Thesis submitted to the Department of Industrial and Manufacturing Engineering in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Spring Semester 2005 The members of the Committee approve the Thesis of Michael M. Zimmer defended on April 4, 2005. ___________________________ Yaw A. Owusu Professor Directing Thesis ___________________________ Rodney G. Roberts Outside Committee Member ___________________________ Reginald Parker Committee Member ___________________________ Chun Zhang Committee Member Approved: _______________________ Hsu-Pin (Ben) Wang, Chairperson Department of Industrial and Manufacturing Engineering _______________________ Chin-Jen Chen, Dean FAMU-FSU College of Engineering The Office of Graduate Studies has verified and approved the above named committee members. ii For the advancement of technology where engineers make the future possible. iii ACKNOWLEDGEMENTS I want to give thanks and appreciation to Dr. Yaw A. Owusu who first gave me the chance and motivation to pursue my master’s degree. I also want to give my thanks to my undergraduate team who helped in obtaining information for my thesis and helped in setting up my experiments. Many thanks go to Dr. Hans Chapman for his technical assistance. I want to acknowledge the whole Undergraduate Research Center for Cutting Edge Technology (URCCET) for their support and continuous input in my studies. -
Huxley: a Flexible Robot Control Architecture for Autonomous Underwater Vehicles
Huxley: A Flexible Robot Control Architecture for Autonomous Underwater Vehicles Dr. Dani Goldberg Bluefin Robotics Corporation 553 South Street Quincy, MA 02169 USA [email protected] Abstract—This paper presents “Huxley,” a production robot Huxley had to be robust and reliable on many different control architecture that was developed by Bluefin Robotics for platforms; flexibility meant that it had to be easily extensible to its fleet of autonomous underwater vehicles (AUVs). Huxley was accommodate new hardware and new system capabilities; designed with flexibility foremost in mind, allowing it to be easily flexibility meant that it had to be maintainable such that adapted and reliably deployed on a wide range of platforms. The improvements or modifications in one area would not cascade architecture follows a layered paradigm, providing a clean and across the system; and flexibility meant that it had to be logical abstraction for the major control functions. It also testable to ensure the integrity of Huxley across all deployed provides an interface for interaction with the layers, enabling systems. With these goals in mind, Bluefin developed Huxley expansion of the core capabilities of the architecture. This over the course of several years. Huxley began shipping in interface provides users the flexibility to develop smart payloads early 2005 and has since proven itself to be the flexible control capable of utilizing available data, modifying the behavior of the AUV and even exploring new frontiers of autonomy. system that was intended. The Huxley control architecture has two core layers: a Keywords—control architectures, layered architectures, reactive layer and an executive layer (Fig. -
Service Robots in the Domestic Environment
Service Robots in the Domestic Environment: A Study of the Roomba Vacuum in the Home Jodi Forlizzi Carl DiSalvo Carnegie Mellon University Carnegie Mellon University HCII & School of Design School of Design 5000 Forbes Ave. 5000 Forbes Ave. Pittsburgh, PA 15213 Pittsburgh, PA 15213 [email protected] [email protected] ABSTRACT to begin to develop a grounded understanding of human-robot Domestic service robots have long been a staple of science fiction interaction (HRI) in the home and inform the future development and commercial visions of the future. Until recently, we have only of domestic robotic products. been able to speculate about what the experience of using such a In this paper, we report on an ethnographic design-focused device might be. Current domestic service robots, introduced as research project on the use of the Roomba Discovery Vacuum consumer products, allow us to make this vision a reality. (www.irobot.com) (Figure 1). The Roomba is a “robotic floor This paper presents ethnographic research on the actual use of vac” capable of moving about the home and sweeping up dirt as it these products, to provide a grounded understanding of how goes along. The Roomba is a logical merging of vacuum design can influence human-robot interaction in the home. We technology and intelligent technology. More than 15 years ago, used an ecological approach to broadly explore the use of this large companies in Asia, Europe, and North America began to technology in this context, and to determine how an autonomous, develop mobile robotic vacuum cleaners for industrial and mobile robot might “fit” into such a space. -
Robots and Healthcare Past, Present, and Future
ROBOTS AND HEALTHCARE PAST, PRESENT, AND FUTURE COMPILED BY HOWIE BAUM What do you think of when you hear the word “robot”? 2 Why Robotics? Areas that robots are used: Industrial robots Military, government and space robots Service robots for home, healthcare, laboratory Why are robots used? Dangerous tasks or in hazardous environments Repetitive tasks High precision tasks or those requiring high quality Labor savings Control technologies: Autonomous (self-controlled), tele-operated (remote control) 3 The term “robot" was first used in 1920 in a play called "R.U.R." Or "Rossum's universal robots" by the Czech writer Karel Capek. The acclaimed Czech playwright (1890-1938) made the first use of the word from the Czech word “Robota” for forced labor or serf. Capek was reportedly several times a candidate for the Nobel prize for his works and very influential and prolific as a writer and playwright. ROBOTIC APPLICATIONS EXPLORATION- – Space Missions – Robots in the Antarctic – Exploring Volcanoes – Underwater Exploration MEDICAL SCIENCE – Surgical assistant Health Care ASSEMBLY- factories Parts Handling - Assembly - Painting - Surveillance - Security (bomb disposal, etc) - Home help (home sweeping (Roomba), grass cutting, or nursing) 7 Isaac Asimov, famous write of Science Fiction books, proposed his three "Laws of Robotics", and he later added a 'zeroth law'. Law Zero: A robot may not injure humanity, or, through inaction, allow humanity to come to harm. Law One: A robot may not injure a human being, or, through inaction, allow a human being to come to harm, unless this would violate a higher order law. Law Two: A robot must obey orders given it by human beings, except where such orders would conflict with a higher order law. -
The Utilibot Project: an Autonomous Mobile Robot Based on Utilitarianism
The Utilibot Project: An Autonomous Mobile Robot Based on Utilitarianism Christopher Cloos 9712 Chaparral Ct. Stockton, CA 95209 [email protected] Abstract Personal service robots are entering the home in greater numbers. As of 2003 there were 1.2 million service robots As autonomous mobile robots (AMRs) begin living in the sold for domestic use, and this number was projected to home, performing service tasks and assisting with daily reach 6.6 million by 2007 (U.N./I.F.R. 2004). This trend is activities, their actions will have profound ethical implica- sure to continue into the future as major technological cor- tions. Consequently, AMRs need to be outfitted with the porations (e.g. Sony, Honda and Mitsubishi) are in a race to ability to act morally with regard to human life and safety. ‘push-to-market’ a humanoid robot that acts as a personal Yet, in the area of robotics where morality is a relevant field of endeavor (i.e. human-robot interaction) the sub-discipline companion/domestic assistant (Economist 2005). These of morality does not exist. In response, the Utilibot project trends highlight another consideration behind the necessity seeks to provide a point of initiation for the implementation of implementing ethics in a robot—autonomous capabili- of ethics in an AMR. The Utilibot is a decision-theoretic ties (e.g. Khatib et al. 1999). AMR guided by the utilitarian notion of the maximization of As autonomous mobile robots begin living in the home, human well-being. The core ethical decision-making capac- doing our chores for us and interacting with us socially, it ity of the Utilibot consists of two dynamic Bayesian net- will be imperative that we can count on them acting in a works that model human and environmental health, a safe, predictable way. -
Autonomous Guidance and Control for an Underwater Robotic Vehicle
Autonomous Guidance and Control for an Underwater Robotic Vehicle David Wettergreen, Chris Gaskett, and Alex Zelinsky Robotic Systems Laboratory Department of Systems Engineering, RSISE Australian National University Canberra, ACT 0200 Australia [dsw | cg | alex]@syseng.anu.edu.au Abstract We have sought an alternative. We are developing Underwater robots require adequate guidance a method by which an autonomous underwater vehi- and control to perform useful tasks. Visual cle (AUV) learns to control its behavior directly from information is important to these tasks and experience of its actions in the world. We start with visual servo control is one method by which no explicit model of the vehicle or of the effect that guidance can be obtained. To coordinate and any action may produce. Our approach is a connec- control thrusters, complex models and control tionist (artificial neural network) implementation of schemes can be replaced by a connectionist model-free reinforcement learning. The AUV learns learning approach. Reinforcement learning uses in response to a reward signal, attempting to maxi- a reward signal and much interaction with the mize its total reward over time. environment to form a policy of correct behav- By combining vision-based guidance with a neuro- ior. By combining vision-based guidance with a controller trained by reinforcement learning our aim neurocontroller trained by reinforcement learn- is to enable an underwater robot to hold station on a ing our aim is to enable an underwater robot to reef, swim along a pipe, and eventually follow a mov- hold station on a reef or swim along a pipe. ing object.