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autonomous robot platform in c programming
“Fast Autonomous Mobile Robot Platform”
“Fast Mobile Autonomous Robot for Human Environment”. Technical Report. - 1 - ..... The microcontrollers' programs were written in C language. The WinAVR ...
PDA Based Real-Time Vision for a Small Autonomous Mobile Robot ...
The TJ Pro™ / PDA platform (Figure 1) provides an excellent test bed for exploring visual behaviors in autonomous robots. The PDA, programmed in C or C. ++ ...
EEL 3701C DIGITAL LOGIC AND COMPUTER SYSTEMS
circuit boards), robot software (GUI, C-functions, C programs) to control robot behavior, and ... develop very simple behaviors on an autonomous robotic platform.
Visual Programming Platform for Autonomous Mobile Robots ...
allows the programming of autonomous, omni- directional mobile ... autonomous mobile robots in which the final user does ... The joint testing of both the visual programming platform and ... movement. c) Polar graphic of the robot movement ...
Introduction to RobotC and Tetrix with Lego Mindstorms These ...
These lessons will introduce writing autonomous robot programs in RobotC using the ... Lesson 1 Setting up the Robot Platform and Configuring the Motors, Servos, and Sensors. ... By convention, motors "A, B, and C" are the NXT motors.
OBSTACLE AVOIDANCE USING A FUZZY LOGIC APPROACH
Rug-warrior Pro, an autonomous mobile robot platform modified to include three sets of ultrasonic sensors. The resultant program offers an excellent alternative to more common vector ... ther a Mac or and IBM PC using Interactive C. Inter- ...
Robot Platform Motion Planning using Answer Set Programming
autonomous vehicle is static. A set of dynamic, static ... Keywords Planning, Answer Set Programming, Action Languages. 1 Introduction. There is a ... F is the subset of C in which the robot does not intersect any obsta- cle. The dimension of C ...
Dual Dynamics Designing Behavior Systems for Autonomous Robots
tial equations of DD models can be run directly as actual control programs on robots. In that case ..... clude learning the basics of the C programming, and overcoming the platonic ... This project is being implemented on a B14 robot platform.
Germán LaRA An Autonomous Robot Platform Supported by an ...
www.springerlink.com/index/V2V656T05T04R4V4.pdfYou +1'd this publicly. Undoby R Francisco - 2012
How To Get Started in Robotics
Aug 15, 2007 – Create with command module is programmable in C. Garcia is programmable in C, C++, or Java. The TeRK robot platform offers programming at the iconic scripting, ... program a team of mobile, autonomous robots as well as ...
Development Environments for Autonomous Mobile Robots A Survey
So, while Lego Mindstorms (LEGO, 2005) is a widely-used robotics platform ..... in the C programming language that is meant to provide a “consistent interface ...
Robotics and Autonomous Systems
on the real robot platform Khepera. © 1998 ... Keywords Evolutionary robotics; Genetic programming; World model; On-line .... if disassembled into a C-program.
Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot
Autonomous mobile robot navigation, either off-road or on ill-structured roads, presents unique ... program and the US Department of Defense DEMO ..... tional pdf for a color c, given that it belongs to class l is ..... The robot platform for the ...
Code Reusability Tools for Programming Mobile Robots
ment; MARIE (Mobile and Autonomous Robotics Integration. Environment), a .... robotics platforms and their programming environments. (proprietary or not) .....  F. Michaud, J. Audet, D. Létourneau, L. Lussier, C. Théberge-. Turmel, and S.
Nicola Greggio - Curriculum Vitae
stitute for Systems and Robotics) - presso l'Istituto Superior T`ecnico, Lisbon - Portugal. ... platform iCub to follow with the head and localize a spherical moving object within the ... Languages C/C++; Matlab; Java (basics); Php (basic); HTML, CSS, and .... and Programming for Autonomous Robots (SIMPAR), Venice (Italy) ...
An Affordable Modular Mobile Robotic Platform with Fuzzy Logic ...
Keywords Robotics, autonomous robots, soft computing, fuzzy logic control, evolutionary ... Our CogitoBot II team's primary programming language is Java with the Java ..... A. Shvartsman, M. Tedder, and C. Chung, Robotic Platform As An ...
Dav A Humanoid Robot Platform for Autonomous Mental ...
Dav A Humanoid Robot Platform for Autonomous Mental Development. J.D. Han. ∗ ... Instead of program action into a robot, another category of efforts ..... (c). (d). (e). (f). Figure 2. Mechanism of each body part. (a) Neck. (b). Head. (c) Hand.
Autonomous Indoor Hovering with a Quadrotor
1 Introduction. Recently, the quadrotor has become a standard platform in the experiments and ... Intl. Conf. on SIMULATION, MODELING and PROGRAMMING for AUTONOMOUS ROBOTS ... ing point unit, which can execute C and C++ code.
The XBC a Modern Low-Cost Mobile Robot Controller
robot programming environment. I. THE XBC/IC ... XBC uses Interactive C, the easy to use C programming environment ... an attractive computing platform for robotics, but it is ..... Botball program) is to make a small autonomous robot that ...
Controlling the autonomy of a reconnaissance robot Andrée ...
This program focuses on platform development, teleoperation and mission modules. Part of this program aims at developing autonomous functions for robot ...
Autonomous Robots: From Biological Inspiration to Implementation and Control (Intelligent Robotics and Autonomous Agents series)
Autonomous robots are intelligent machines capable of performing tasks in the world by themselves, without explicit human control. Examples range from autonomous helicopters to Roomba, the robot vacuum cleaner. In this book, George Bekey offers an introduction to the science and practice of autonomous robots that can be used both in the classroom and as a reference for industry professionals. He surveys the hardware implementations of more than 300 current systems, reviews some of their application areas, and examines the underlying technology, including control, architectures, learning, manipulation, grasping, navigation, and mapping. Living systems can be considered the prototypes of autonomous systems, and Bekey explores the biological inspiration that forms the basis of many recent developments in robotics. He also discusses robot control issues and the design of control architectures.After an overview of the field that introduces some of its fundamental concepts, the book presents background material on hardware, control (from both biological and engineering perspectives), software architecture, and robot intelligence. It then examines a broad range of implementations and applications, including locomotion (wheeled, legged, flying, swimming, and crawling robots), manipulation (both arms and hands), localization, navigation, and mapping. The many case studies and specific applications include robots built for research, industry, and the military, among them underwater robotic vehicles, walking machines with four, six, and eight legs, and the famous humanoid robots Cog, Kismet, ASIMO,"and QRIO. The book concludes with reflections on the future of robotics -- the potential benefits as well as the possible dangers that may arise from large numbers of increasingly intelligent and autonomous robots.
Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques.] This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners.
Building robots that sense and interact with their environment used to be tricky. Now, Arduino makes it easy. With this book and an Arduino microcontroller and software creation environment, you’ll learn how to build and program a robot that can roam around, sense its environment, and perform a wide variety of tasks. All you to get started with the fun projects is a little programming experience and a keen interest in electronics.
Make a robot that obeys your every command—or runs on its own.
Maybe you’re a teacher who wants to show students how to build devices that can move, sense, respond, and interact with the physical world. Or perhaps you’re a hobbyist looking for a robot companion to make your world a little more futuristic. With Make an Arduino Controlled Robot, you’ll learn how to build and customize smart robots on wheels.
Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series)
Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in novel areas such as drug design and protein folding. This text reflects the great advances that have taken place in the last ten years, including sensor-based planning, probabalistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical underpinnings of robot motion accessible to students of computer science and engineering, rleating low-level implementation details to high-level algorithmic concepts.
Cynthia Breazeal here presents her vision of the sociable robot of the future, a synthetic creature and not merely a sophisticated tool. A sociable robot will be able to understand us, to communicate and interact with us, to learn from us and grow with us. It will be socially intelligent in a humanlike way. Eventually sociable robots will assist us in our daily lives, as collaborators and companions. Because the most successful sociable robots will share our social characteristics, the effort to make sociable robots is also a means for exploring human social intelligence and even what it means to be human.Breazeal defines the key components of social intelligence for these machines and offers a framework and set of design issues for their realization. Much of the book focuses on a nascent sociable robot she designed named Kismet. Breazeal offers a concrete implementation for Kismet, incorporating insights from the scientific study of animals and people, as well as from artistic disciplines such as classical animation. This blending of science, engineering, and art creates a lifelike quality that encourages people to treat Kismet as a social creature rather than just a machine. The book includes a CD-ROM that shows Kismet in action.
Worldwide demand for robotic aircraft such as unmanned aerial vehicles (UAVs) and micro aerial vehicles (MAVs) is surging. Not only military but especially civil applications are being developed at a rapid pace. Unmanned vehicles offer major advantages when used for aerial surveillance, reconnaissance, and inspection in complex and inhospitable environments. UAVs are better suited for dirty or dangerous missions than manned aircraft and are more cost-effective. UAVs can operate in contaminated environments, for example, and at altitudes both lower and higher than those typically traversed by manned aircraft. Many technological, economic, and political factors have encouraged the development and operation of UAVs. New sensors, microprocessors, and propulsion systems are smaller, lighter, and more capable, leading to levels of endurance, efficiency, and autonomy that exceed human capacities. Comprising the latest research, this book describes step by step the development of small or miniature unmanned aerial vehicles and discusses in detail the integrated prototypes developed at the robotics laboratory of Chiba University. With demonstration videos, the book will interest not only graduate students, scientists, and engineers but also newcomers to the field.
foreword by Michael Arbib This introduction to the principles, design, and practice of intelligent behavior-based autonomous robotic systems is the first true survey of this robotics field. The author presents the tools and techniques central to the development of this class of systems in a clear and thorough manner. Following a discussion of the relevant biological and psychological models of behavior, he covers the use of knowledge and learning in autonomous robots, behavior-based and hybrid robot architectures, modular perception, robot colonies, and future trends in robot intelligence.The text throughout refers to actual implemented robots and includes many pictures and descriptions of hardware, making it clear that these are not abstract simulations, but real machines capable of perception, cognition, and action.
Build your own Stiquito "walking-stick" robot insect with the included kit!
Stiquito Controlled! is a widely accessible, user-friendly book that provides step-by-step instructions for building Stiquito, a small, multi-legged robot that resembles a "walking-stick" insect. The book includes comprehensive instructions and all the parts needed to complete assembly. Most notably, the kit contains a microcontroller board that allows Stiquito to walk on its own. Key features of the book include:
Engineering teachers and students, researchers, and science enthusiasts will find Stiquito Controlled! a fascinating and fun hands-on project.
Batteries not included.
It is at least two decades since the conventional robotic manipulators have become a common manufacturing tool for different industries, from automotive to pharmaceutical. The proven benefits of utilizing robotic manipulators for manufacturing in different industries motivated scientists and researchers to try to extend the applications of robots to many other areas by inventing several new types of robots other than conventional manipulators. The new types of robots can be categorized in two groups; redundant (and hyper-redundant) manipulators, and mobile (ground, marine, and aerial) robots. These groups of robots, known as advanced robots, have more freedom for their mobility, which allows them to do tasks that the conventional manipulators cannot do. Engineers have taken advantage of the extra mobility of the advanced robots to make them work in constrained environments, ranging from limited joint motions for redundant (or hyper-redundant) manipulators to obstacles in the way of mobile (ground, marine, and aerial) robots. Since these constraints usually depend on the work environment, they are variable. Engineers have had to invent methods to allow the robots to deal with a variety of constraints automatically. A robot that is equipped with those methods is called an Autonomous Robot. Autonomous Robots: Kinematics, Path Planning, and Control covers the kinematics and dynamic modeling/analysis of Autonomous Robots, as well as the methods suitable for their control. The text is suitable for mechanical and electrical engineers who want to familiarize themselves with methods of modeling/analysis/control that have been proven efficient through research.
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations.This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, http://www.probabilistic-robotics.org, has additional material.The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.