Our First Experience with Robotics: Making a Web-Controlled Robotic Arm As part of Programmers’ Day celebration this year, Azoft web developers decided to surprise our fellow Azoft employees with a competition. To try something new and unusual, we created an internet-controlled robotic arm. This was our first experience with robotics and it turned out a success. The robotic arm competition was lots of fun for everyone involved, so we decided to share our experience and post this robotics tutorial to give you a fast start into building robots for your own geek parties. What does the robotic arm do? Our robotic arm is controlled via a web interface: it responds to remote commands and performs simple tasks. The tasks could vary: from drawing lots in a lottery to grabbing objects and collecting them in a basket - it’s up to your imagination. Have you decided what your robot will be doing? You will need microcontroller TI Stellaris Launchpad two servos (one for rotates, one for lifts) Hitec HS-322 servo TowerPro SG90 for the hand Let's get started 0. Stage 0. 1.
Getting Started in Robotics Biological Studies Animal motion and behavior studies such as those carried out at the UCB Poly-pedal Lab & MIT's Leg Lab, sometimes augmented with motion capture suits, can extract the characteristics of such activities as legged movement. Suites of characteristics can be used to produce motion-script files which can be run on 3D animated computer models of biologically-inspired robots in physics-based computer simulations. These VR 3-D Kinematic Animation Modeling with Physics Properties studies can be used to develop Robot Control systems. Artificial Intelligence and Related Software Artificial Intelligence (AI) software: A promising application is developing applied dynamic artificial intelligence. Multi-Robot Distributed Data Network: In this extension of an AI-driven robot system, a team or community of robots share data, learn from and teach each other. In the simple case, the script may run directly on the hardware robot until the GA achieves optimum performance. SFRSA "Robots!"
Robotics, Vision & Control The practice of robotics and computer vision each involve the application of computational algorithms to data. The research community has developed a very large body of algorithms but for a newcomer to the field this can be quite daunting. For more than 10 years the author has maintained two open-source MATLAB® Toolboxes, one for robotics and one for vision. They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This new book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. "An authoritative book, reaching across fields, thoughtfully conceived, and brilliantly accomplished!"
Manga Stream - Read free manga online! Beginning Embedded Electronics - 1 This is a series of lectures written for those with mild electronics background (aka Sophomore in Electrical and Computer Engineering) to learn about the wild world of Embedded Electronics. I assume only that you know what electricity is and that you've touched an electrical component. Everything else is spelled out as much as possible. There is quite a lot here so take your time! It is also my intention to get book-hardened EE's students to put down the calculator and to plug in an LED. You can get all the parts for this lecture here. Sorry for the confusion. What's a Microcontroller? You may know what an OR gate is. A microcontroller is the same as an OR gate. if (A == 1 || B == 1) else It's C code! In the old days, microcontrollers were OTP or one-time-programmable meaning you could only program the micro once, test the code, and if your code didn't work, you threw it out and tried again. Flash micros are different than computers and RAM. Now back to that OR gate IC. if (PORTC.2 == 1)
SériesEmPT Advanced Robotics Spring 2013 | Correll Lab This class is the follow-up class to CSCI3302 “Introduction to Robotics”. Robots perceive their environment with signal processing and computer vision techniques, reason about them using machine learning, artificial intelligence and discrete algorithms, and execute their actions based on constraints imposed by sensor uncertainty, their mechanism, and their dynamics. “Advanced Robotics” will teach the key concepts used by manipulating robots and provide hands-on experience with state-of-the-art software and systems. Lecture materials are supported by exercises around the “Robot Operating System” ROS and will lead to the completion of a group project. After “The Distributed Robotic Garden” at MIT, and “Robots building Robots” from 2010 to 2012, the 2013 grand challenge is to develop an autonomouse greenhouse. Exercises will be conducted in a virtual environment and can later be transferred to a 7-DOF manipulating arm. Due dates: This class has three two week homework assignments. 1. 2.
Introduction to Robotics - Fall 2011 | Correll Lab This class will teach the basics of how robots can move (locomotion and kinematics), how they can sense (perception), and how they can reason about their environment (planning). Lecture materials are supported by computer exercises using the simulation software “Webots” (right). Exercises will cover programming of basic sensors, actuators and perception algorithms and are geared to prepare the students to participate in the online competition “RatsLife” ( within the framework of the class. In RatsLife, two miniature robots “E-Puck” are competing against each other in a virtual maze for available chargers. Prerequisites: programming experience in C/C++ and/or Java. The “Introduction class” is offered as CSCI 3302 and ECEE 3303 in Fall 2011. Please visit me during office hours on Tuesday between 10-11am in ECOT 733 or by appointment. 20% Homework25% Project / Debates / Class participation25% Midterm30% Final Debates will be evaluated in equal parts to the
Robot Navigation Edited by Alejandra Barrera, ISBN 978-953-307-346-0, 250 pages, Publisher: InTech, Chapters published July 05, 2011 under CC BY-NC-SA 3.0 licenseDOI: 10.5772/705 Robot navigation includes different interrelated activities such as perception - obtaining and interpreting sensory information; exploration - the strategy that guides the robot to select the next direction to go; mapping - the construction of a spatial representation by using the sensory information perceived; localization - the strategy to estimate the robot position within the spatial map; path planning - the strategy to find a path towards a goal location being optimal or not; and path execution, where motor actions are determined and adapted to environmental changes. This book integrates results from the research work of authors all over the world, addressing the abovementioned activities and analyzing the critical implications of dealing with dynamic environments.