Slides for ppt on robotics

Mobile Robots https://store.theartofservice.com/the-mobile-robots-toolkit.html.

if any mobile robots offer only guarded tele-op. (See Sliding Autonomy below.) https://store.theartofservice.com/the-mobile-robots-toolkit.html Mobile robots - Line-following Car 1 Some of the earliest Automated Guided Vehicles (AGVs) were line following mobile robots https://store.theartofservice.com/the-mobile-robots-toolkit.html Robotics Design - Mobile Robots 1 The ANATROLLER series of robots are a family of mobile robots based on modular ANAT/


Task-Oriented Mobile Actuator/Sensor Networks: “Distributed Measurement for Distributed Control” and/or “Distributed Control for Distributed Measurement”?

Q17 –Port CSP from Java to nesC –Automatic (semi-automatic) dead lock, live lock checking (one robot) for nesC –Automatic dead lock, live lock checking for heterogeneous robot groups with nesC –How to cooperate CSP with ODE/PDE control laws? 10/19/2004 SDL "Skunk Works" Project Slide-30 Fundamental limitations Q18 –Characterize the chaos/bifurcation properties of the fog/air flow. –What is the/


Slide 1 Robot Motion Planning Andrew W. Moore Professor School of Computer Science Carnegie Mellon University 412-268-7599.

Reasoning Can’t we use our previous methods? Discrete Search? – Not a discrete problem CSP? – Not a natural CSP formulation Probabilistic? – Nope. Start Configuration Immovable Obstacles Goal Configuration Slide 4 Robots For our purposes, a robot is: A set of moving rigid objects called LINKS which are connected by JOINTS. Typically, joints are REVOLUTE or PRISMATIC. Such joints each give one DEGREE OF FREEDOM/


1 Final Conference, 19th – 23rd January 2015 Geneva, Switzerland RP 15 Force estimation based on proprioceptive sensors for teleoperation in radioactive.

provide enough accuracy for some circumstances. A priori knowledge Kinematic and geometric information Modelling Trajectory parameterization Robot excitation Position differentiation Parameter identification by LMS Parameter optimization Robot identification procedure Validation /2015 Geneva, Switzerland Force estimation: Sliding observers Dynamic model of the robot with external forces: Robot space state equations: Robot space state sliding observer: Robot observer error: Differentiating the observer error/


Sliding Autonomy for Peer-To-Peer Human-Robot Teams M.B. Dias, B. Kannan, B. Browning, E. Jones, B. Argall, M.F. Dias, M.B. Zinck, M. Veloso, and A. Stentz.

can improve team performance # Flexibility in accommodating different team configurations 16 ResultsSliding AutonomySummary ApproachMotivation Conclusion and Future Work  Conclusion Extend Sliding Autonomy to Peer-to-Peer human- robot teams Outline an approach for implementing SA Implement on an example human-robot team application Ability to dynamically adjust the level of autonomy can enhance system performance  Future Work Enhancing situational awareness via human interaction and/


Department of Electrical Engineering Southern Taiwan University of Science and Technology Robot and Servo Drive Lab. 2015/10/27 DSP-Based Control of Sensorless.

Fig. 2. Signal process for rotor position estimation using HF signal injection. the position estimation error signal can be acquired from the magnitude of HF current components in the measured axes. Department of Electrical Engineering Southern Taiwan University of Science and Technology Position estimation at high-speed 2015/10/27 Robot and Servo Drive Lab. 12 A sliding-mode observer is designed using/


Homework 1 (with additional explanations) Intelligent Robotics 1, ECE 478/578 Deadline, October 15 This Homework is Group Project Will be incorporated.

of course possible Simplified State Machine of interactive robot play M3. State Machine with interaction (similar to one explained in class for Paradise Lost) Decision for input variable B Behavior $r Slide with behavior 1 Slide with behavior 2 Slide with behavior 3 Decision Node Question A Behavior 1 Slide with behavior 2 Slide with behavior 3 Slide with behavior 4 Slide with last behavior Positive answer Negative answer This/


2/8/2005 TEAM: L.A.R.G.E. Slide: 1 LTU AIBO Research Group Alumni Association Support Request Tuesday February 8, 2005.

Support Request $2,050 for travel expenses to the American Open and for the Mind 2 Memory Stick. –RoboCup American Open 2005, Atlanta May 7 - 10 –RoboCup World Championship 2005, Osaka July 11-19 2/8/2005 TEAM: L.A.R.G.E. Slide: 10 Benefits Educational Research –Hands On Implementation of Robotics and Computer Science Theory Artificial Intelligence Robotic Vision Kinetics (Motion) Multi-Agent/


New additional Homework 1 (with additional explanations and new additional explantions) Intelligent Robotics 1, ECE 478/578 October 21 Deadline, October.

of course possible Simplified State Machine of interactive robot play M3. State Machine with interaction (similar to one explained in class for Paradise Lost) Decision for input variable B Behavior $r Slide with behavior 1 Slide with behavior 2 Slide with behavior 3 Decision Node Question A Behavior 1 Slide with behavior 2 Slide with behavior 3 Slide with behavior 4 Slide with last behavior Positive answer Negative answer This/


Melak Zebenay > EPOS- A Robotics-Based Hardware in-the-Loop Simulator for Simulating Satellite RvD Operations >Aug 30, 2010 Slide 1 Control Strategy of.

where t1 and t2 is less than the contact duration. Melak Zebenay >EPOS-A Robotics- Based Hardware in-the-Loop Simulator for Simulating Satellite RvD Operations >Aug 30,2010 Slide 14 Results Given M1=750kg, M2=1050Kg, k=500000, b=30 v1(0)=0/b1=51.4286 k2=1.1280e+006; b2=72.0 Melak Zebenay >EPOS-A Robotics- Based Hardware in-the-Loop Simulator for Simulating Satellite RvD Operations >Aug 30,2010 Slide 15 Results Position and velocity comparison between the ideal satellite and chaser satellite impedance model /


Robotics Sharif In the name of Allah Robotics Sharif Introduction to Robotics o Leila Sharif o o Lecture #4: The.

.g., up-down, left-right, in-out)  E.g., a motor shaft controls one rotational DOF; a sliding part on a plotter controls one translational DOF. Robotics Sharif Counting DOF  A free body in space has 6 DOF  3 are translational (x, y, z) /rotational (roll, pitch, and yaw)  Every robot has a specific number of DOF  If there is an actuator for every DOF, then all of the DOF are controllable  Usually not all DOF are controllable  This makes robot control harder Robotics Sharif Example: DOF of a Car  A car/


Copyright Carnegie Mellon Robotics Academy all rights reserved Vex 1.0 © 2005 Carnegie Mellon Robotics Academy Inc. Does Wheel Size Matter? Starter Kit.

controller.) Modify the Squarebot as shown in Resources/Wheel Size Starter Kit Slide Show. Copyright Carnegie Mellon Robotics Academy all rights reserved Vex 1.0 © 2005 Carnegie Mellon Robotics Academy Inc. Step 1 Position the Squarebot Position the Squarebot behind the/ your measurements are accurate Copyright Carnegie Mellon Robotics Academy all rights reserved Vex 1.0 © 2005 Carnegie Mellon Robotics Academy Inc. Step 6 Average Speed Find the average of the trials for the condition and record it on the /


Advantages and Disadvantages of Robotic Telepathology vs

or Capture image digitally and Transmit Forward via electronic lines or other telecommunication media. Dynamic Robotic Telepathology Operator can view entire slide from a remote site. Operator can select fields for digital image capture. Operator can communicate with transmitter simultaneously to viewing. Robotic Image Receiving Station at the Richmond VAMC Transmitting Station at Beckley VAMC Close-up of Transmitting Station Telepathology Vs Routine Microscopy/


Introduction to ROBOTICS

robot UJWALHARODE (Selective Compliance Assembly Robot Arm) Manipulators Robot Configuration Spherical: RRP Cartesian: PPP Cylindrical: RPP Hand coordinate: n: normal vector; s: sliding vector; a: approach vector, normal to the tool mounting plate SCARA: RRP (Selective Compliance Assembly Robot/previous (resultant) rotation matrix with an appropriate basic rotation matrix UJWALHARODE Find the rotation matrix for the following operations: Pre-multiply if rotate about the OXYZ axes Post-multiply if rotate /


Flexible Manufacturing with a Robotic Arm and Lego’s ELM 4701 ELM Project Fall 2002 Johnson: How about a larger image? Johnson: How about a larger image?

help with the color? Johnson: excellent three slide sequence. Nate, need help with the color? 6/15/2015 A. Rust, K. Garant, J. Eastman, M. Jarrett Project Organization Mechanical Mechanical Software Software Electrical Electrical 6/15/2015J. Eastman, K. Garant, A. Rust Software Simplifying Interface  PC to Robot Communication  Pendant to PC  Programs Johnson: drop bullet for list of one Johnson: drop bullet/


SLAM: Simultaneous Localization and Mapping: Part I Chang Young Kim These slides are based on: Probabilistic Robotics, S. Thrun, W. Burgard, D. Fox, MIT.

Slide from the previous class Many images are also taken from Probabilistic Robotics. http://www.probabilistic-robotics.com Overview Introduction Basics: Bayes filters SLAM  Formulation  EKF-SLAM  FastSLAM Motivation Exit What is SLAM? Given:  The robot’s controls  Observations of nearby features Estimate:  Map of features  Path of the robot A robot/represents nonlinear process model and non- Gaussian pose distribution for the robot pose estimation  Rao-Blackwellized method reduces computation (*/


Tomorrow’s Technology and You 9/e Chapter 15 Is Artificial Intelligence Real? Slide 1.

error, just as the brain does  Optimistic researchers hope that neural networks may someday provide hearing for the deaf and eyesight for the blind. Slide 26 Copyright © 2009 Pearson Education, Inc. Publishing as Prentice Hall Tomorrow’s Technology and You 9/e Chapter 15 The Robot Revolution Slide 27 What is a robot?  A robot is a computer-controlled machine designed to perform specific manual tasks.  A/


2008 FIRST Robotics Conference Leadership Skills Presented by: Kimberly O’Toole Eckhardt Harris Corporation, Team 1511.

. Methodical.Leap around in a roundabout way. Value realism and common sense.Value imagination and innovation. 2008 FIRST Robotics Conference Myers Briggs (slide 3) Column AColumn B Have truth as an objective.Have harmony as a goal. Decide more with my head/ adapting to new situations. Feel better after making decisionsPrefer to keep things open. Enjoy finishing things.Enjoy starting things. Work for a settled life, with my plans in order. Keep my life as flexible as possible so that nothings missed. Dislike/


Chapter 7: Production of Printed Circuit Boards

Mounting Axial components: Sequencing and mounting Radial components: Mounting DIP components: Mounting Odd components: Robot or hand mounting Fig. 7.1:The process for production of hole mounted PCBs 10.10.99 Electronic Pack….. Chapter 7 Production of PCBs/edge due to the "Manhattan-" or ”tombstone-" effect. 10.10.99 Electronic Pack….. Chapter 7 Production of PCBs. Robot System for Placement Advantages: Flexibility: Can handle most odd component types and boards, in low and high volumes Uniform quality High /


Image 1, Ref - see slide 17-18 What is a Robot?

for example). What do people do to make a robot move? They program it using software telling it precisely what to do, step by step. Robots in the World We always think of Robots in movies Human Characteristics Learning Emotions While there have been advances is Artificial Intelligence (AI)…. Image 2-5, Ref - see slide 17-18 Robots/ do is any less amazing! Image 6-8, Ref - see slide 17-18 How do you define a robot? Definition: “A robot is a machine that gathers information about its environment (senses) and /


Robot Technology Chapter 10 Robotics by Muhammad Moeen Sultan.

orthogonal slides Three orthogonal slides Slides are parallel to the x,y,z axis. Slides are parallel to the x,y,z axis. Robotics by Muhammad Moeen Sultan Purpose of a Robot Purpose of a robot is to perform useful task Purpose of a robot is to perform useful task End-effector End-effector The tool, gripper, or other device mounted at the end of a manipulator, for accomplishing/


10.10.99Electronic Pack….. Chapter 7 Production of PCBs. Slide 1 Chapter 7: Production of Printed Circuit Boards Focus on automated production of printed.

Solder faults Fig. 7.38: Small SMDs standing on edge due to the "Manhattan-" or ”tombstone-" effect. 10.10.99Electronic Pack….. Chapter 7 Production of PCBs. Slide 52 Robot System for Placement Advantages: –Flexibility: Can handle most odd component types and boards, in low and high volumes –Uniform quality –High placement accuracy (~ 0.02 mm) –Non-manned operation (over night) –Can /


Electronic Pack….. Chapter 7 Production of PCBs. Slide 1 Chapter 7: Production of Printed Circuit Boards Focus on automated production of printed circuits.

edge due to the "Manhattan-" or "tombstone-" effect. Electronic Pack….. Chapter 7 Production of PCBs. Slide 52 Robot System for Placement Advantages: –Flexibility: Can handle most odd component types and boards, in low and high volumes –/ sensors on robot Electronic Pack….. Chapter 7 Production of PCBs. Slide 53 Robot Mounting Fig. 7.39: Example of a programmable placement robot for electronics: The SCARA robot. Electronic Pack….. Chapter 7 Production of PCBs. Slide 54 Robot System for Placement Must be/


Cs486/686 Lecture Slides (c) 2005 K. Larson and P. Poupart 1 CS 486/686 Artificial Intelligence May 3rd, 2005 University of Waterloo.

–This is the approach we will take in this course General principles of rational agents Components for constructing rational agents cs486/686 Lecture Slides (c) K. Larson and P. Poupart 10 Intelligent Assistive Technology Let’s facilitate aging in/ –Decision trees, neural networks, ensemble learning, reinforcement learning Specialized areas –Natural language processing, computational vision and robotics cs486/686 Lecture Slides (c) K. Larson and P. Poupart 16 A brief history of AI 1943-1955: Initial work in/


Slide 1 Computer Confluence 7/e © 2006 Prentice-Hall, Inc.

work 24 hours a day, 365 days a year, without vacations, strikes, sick leave, or coffee breaks  Robots can also improve quality and increase productivity.  They’re especially effective at doing repetitive jobs.  Robots are ideal for jobs that are dangerous, uncomfortable, or impossible for human workers Slide 31 Computer Confluence 7/e Chapter 15 AI Implications and Ethical Questions © 2006 Prentice-Hall, Inc. As/


Slide 1 Tomorrow’s Technology and You 8 th Edition © 2008 Prentice-Hall, Inc.

work 24 hours a day, 365 days a year, without vacations, strikes, sick leave, or coffee breaks.  Robots can also improve quality and increase productivity.  They’re especially effective at doing repetitive jobs.  Robots are ideal for jobs that are dangerous, uncomfortable, or impossible for human workers. Slide 31 Tomorrow’s Technology and You 8/e Chapter 15 AI Implications and Ethical Questions © 2008 Prentice/


Slides for Chapter 11 Note to Instructors License © 2012 John S. Conery The slides in this Keynote document are based on copyrighted material from Explorations.

electronic copies in PDF form, provided the copyright notice below is reproduced on the first slide. This Keynote document contains the slides for “The Music of the Spheres”, Chapter 11 of Explorations in Computing: An Introduction to / speed it will move when we tell it to advance ✦ To plant the flag: >> robot.turn(90) => 90 >> robot.advance(16) => 16 >> robot.plant_flag => 0 >> robot.turn(180) => 180 >> robot.advance(16) => 16 >> robot.turn(90) => 90 Planting the Flag (cont’d) the flag is indicated by the/


Artificial Intelligence Lecture 8. Outline Computer Vision Robots Grid-Space Perception and Action Immediate Perception Action Robot’s Perception Task.

to movement actions so that the robot will carry out its task. Since we do not want the robot to remember or learn anything, one such function would be sufficient. However, it is useful to decompose it in the following way (next slide): Immediate Perception-Action 0 0 / as their input, It is possible to add an internal state to the system to implement memory and learning. The Robot’s Perception For our robot, we define four different features x 1, …, x 4 that are important to it. Each feature has value 1/


Robots used in technology By: Aldin, Sophie, and Alan Nanorobot.

can see in the following slides how robots help us and are used in technology. How are robots used in technology? * One way robots are used in technology is they can help use do tasks we can’t do. * One way robots are used in technology is they/people need something robots can get it. * If people need something robots can get it. What are some major needs for robots? Most robots are exploring places humans can’t go yet. Robots can go in the depths of the ocean and they can go into space. Robots help out in /


ROBOTICS (VII Semester, B.Tech. Mechatronics) Prepared By: Nehul J. Thakkar Asst. Professor U.V.Patel College of Engineering Ganpat University.

Configuration 4.Articulated or Jointed-arm Configuration 5.Selective Compliance Assembly Robot Arm (SCARA) Configuration 21 December 2015Cont.5 Robot Anatomy.. 1. Cartesian Coordinate Configuration  Uses three perpendicular slides to construct x, y and z axes  X-axis/.47 Drive Systems.. 1. Hydraulic Drive.. 21 December 2015Cont.48 Drive Systems.. 2. Pneumatic Drive Reserved for smaller robot Limited to “pick-and-place” operations with fast cycles Drift under load as air is compressible Provide either/


Functions of Distributed Plasticity in a Biologically-Inspired Adaptive Control Algorithm: From Electrophysiology to Robotics University of Edinburgh University.

Does not cause paralysis, but makes many movements inaccurate, slow and uncoordinated Similar to effects of alcohol: tests for intoxication may resemble clinical test for cerebellar impairment Slide No 6AwayDay 2005 Conclusion: cerebellum is particularly associated with those features of movements that distinguish animals from robots Framework of project: to investigate whether there are features of cerebellar control that are likely to be of/


International Journal of Control and Automation Vol. 6, No. 1, February, 2013 Decentralized Sliding Mode Controller Based on Genetic algorithm and a Hybrid.

. T. Lee, “Adaptive fuzzy sliding mode controller for linear systems with mismatched time-varying uncertainties”, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 33, no. 2, (2003), pp. 283–294. 1.D. Boukhetala, F. Boudjema, T. Madani, M. S. Boucherit and N. K. M’Sirdi, “A New Decentralized Variable Structure Control for Robot Manipulators”, International Journal of Robotics and Automation, vol. 18/


Course Overview Robotics in Construction Automation Instructor Prof. Shih-Chung Kang 2008 Spring.

.netRobotics in Construction Automation20 Courtesy of Mr. 陳瑞祺 ’s slides Development of service robots http://robot.caece.netRobotics in Construction Automation21 Robotics in Construction Automation Robotics in construction sites –Robotics can help engineers to –know better about the construction processes –perform better –Plan better http://robot.caece.netRobotics in Construction Automation23 Building system for robotic construction http://robot.caece.netRobotics in Construction Automation24 Scott Howe 1999/


Learning Goal: Describe the approaches and challenges involved with integrating artificial intelligence into robotics systems. Daily objective: Understand.

—but not exactly—like a human. This small imperfection, according to the theory, causes peoples feelings toward robots to slide from fondness to disgust. TUG, the El Camino hospital robot R-Hex, from Boston Dynamics Head it with name, date, class color, and the title ‘Uncanny Valley/released Tin Toy, a very early CGA movie. Tin Toy went on to claim Pixars first Oscar with the 1988 Academy Award for the best Animated Short Film, becoming the first CGI film to win an Oscar. With the award, Tin Toy went far /


1 Note: Original slides provided by www.apComputerScience.com and modified for this specific classwww.apComputerScience.com.

1 Note: Original slides provided by www.apComputerScience.com and modified for this specific classwww.apComputerScience.com 2 Karel provides an OOP approach to learning computer science It provides visual feedback/picked up, carried, and placed again –Several beepers can be placed on a corner and they don’t interfere with Robot movement Walls –Placed half way between street corners –Impenetrable, blocks robots –Used to create rooms, mazes, hurdles 7 8 Moves –Only moves forward in direction top of its head is/


Automation and Robotics Use next notebook page to take notes from each slide.

in a store, a movie theater, an amusement park, school, etc.? 5. Today’s Robots- Describe some types of robots today and what they are used for. Industrial robots perform many factory jobs –Welding –Painting –Assembly Today’s Robots Medical Robots –Assist with surgery –Transport materials –Dispense medicine –Communicate The mobile robot (left) can roll to a patients bedside and enable two-way, real time communication between/


15-494 Cognitive Robotics 03/30/09 1 Manipulation By Pushing 15-494 Cognitive Robotics David S. Touretzky & Ethan Tira-Thompson Carnegie Mellon Spring.

for a long time. Random search might be faster. 15-494 Cognitive Robotics 03/30/09 31 Rapidly-exploring Random Trees Rapidly-exploring Random Trees (RRTs) are trees whose vertices encode configuration states of the arm (LaValle 1998). The RRT grows by alternately extending the tree in random directions and moving toward the goal configuration. Slide/ courtesy of Glenn Nickens 15-494 Cognitive Robotics 03/30/09 32 RRT Search Algorithm LaValle /


ROBOT WARS Joris “West Side” Favie ROBOT WARS Robot Wars was invented in California in 1992 It then moved to the United Kingdom to be televised on the.

steel with industrial digger gauge used in the jaw. Growler has something of a reputation for being the fastest ever House Robot and that speed is due to 2 48volt 5kw motors running a 4 wheel drive / (30 pixels) Proper capitalization More Considerations for Good Slides Working memory capacity (7 ± 2 chunks) Consistent layout & style Avoid clutter (busy backgrounds) Meaningful text & pictures Functional sound & animation (if any) Progressive building for complex schemes Content & Structure Determine your/


Date : 11/19/2002 NASA-Langley slide nr. 1 Paul van Susante Large Lunar Telescopes Human aided construction of large lunar telescopes Final Presentation.

?2-4Rc+m2commissioning4-6 Date : 11/19/2002 NASA-Langley slide nr. 35 Paul van Susante Human requirements Human suits need to have advanced sensors and display capabilities (construction oriented, but also good for exploration) Easy control of information display and mapping functions of drawings / schematics Humans on site do not control robots but should have power to override if necessary Humans should/


Beyond the design stance, AgentLink MSEA/ABSS SIG meeting, Barcelona 2003, slide-1 Beyond the Design Stance - losing some control.

stance, AgentLink MSEA/ABSS SIG meeting, Barcelona 2003, http://cfpm.org/~bruce slide-17 Tag mechanism Each robot has: T [1..500], L [0/1], N [0/1] If have lorry ask robot with same T otherwise a random robot Asked robot uses state and L, N for action Triples probabilistically propogated to other robots in proportion to amount unloaded in own bay (some mutation of T/


Please give credit to the researchers listed on the slides Operating Room of the Future Master File Richard M. Satava, MD FACS Professor of Surgery University.

listed on the slides Operating Room of /US Army Medical Research and Materiel Command The Operating Room of the Future Integrating Surgical Systems for Autonomy The Operating Room (personnel) of the Future Satava March, 2000 Surgeon Assistant Scrub /Robots Dot Com Inc Automatic tool changer with carousel Webpage of Parpas America, Inc Robotic “cell” unit - commercial robots Courtesy ABB, Inc, Milwaukee WI Systems integration of multiple robots Automatic tool changer with carousel Webpage of Applied Robotics/


Motion Planning for Robotic Manipulation of Deformable Linear Objects (DLOs) Mitul Saha, Pekka Isto, and Jean-Claude Latombe Research supported by NSF,

Robotic knot tying Manual knot tying Objective and Motivation Push the state of the art in robotic manipulation –Manipulating DLOs is perhaps one of the most challenging tasks in robotics Possible Impact/Applications –Could open many new domains for robotics/configuration A final configuration with desired topology DLO Our Planning Approach - Manipulation using 2 cooperating robot arms - Use of static sliding supports (“tri-fingers”) to provide structural support Defining “Forming Sequence” –Knots can be /


For Co-PI’s Tucker Balch (GT), Doug Blank & Deepak Kumar (BMC) With Stewart Tansley (MSR)

funding provided by MSR Joint effort hosted at Georgia Tech with Bryn Mawr College Special ingredient and hypothesis: A personal robot for every student Year 1 (2006-2007) Scribbler + Myro v1 + Book v1 First classes at host schools First annual/ or https://mediabank.partners.extranet.microsoft.com Copy all the.ttf files into your c:windowsfonts folder Questions: email slides@microsoft.comslides@microsoft.com Bruce Sherin Emile R = mg Mark: Thats when the forces are equal then, right/


Computational Neurobiology Center, College of Engineering, University of Missouri, Columbia MO 65211 1 DAY 2 – 50 minutes HOW DOES A ROBOT MOVE?

select the loop icon and press the orange button You are done programming the robot! Can you explain what you told your robot? Activity (25 minutes) Students should be grouped according to the number of available computers Pass out the worksheet on the next slide and allow 15 min for completion. Students can work on this activity with their group 18 Computational Neurobiology Center/


ROBOT MAPPING AND EKF SLAM. Slides for the book: Probabilistic Robotics Authors: – Sebastian Thrun – Wolfram Burgard – Dieter Fox Publisher: – MIT Press,

has size 3+2n 2N coordinates for N features 3 coordinates for robot’s pose State Representation for EKF SLAM Mean Value Matrix (Vector) Covariance matrix State Representation for EKF SLAM Mean Value Matrix Covariance matrix Please observe how these matrices are partitioned to submatrices Just another notation for the same stuff as in last slide One more often used notation for the same stuff as in last/


Slide 1 © 2008 Prentice-Hall, Inc.. Is Artificial Intelligence Real? Slide 2 © 2008 Prentice-Hall, Inc.

work 24 hours a day, 365 days a year, without vacations, strikes, sick leave, or coffee breaks.  Robots can also improve quality and increase productivity.  They’re especially effective at doing repetitive jobs.  Robots are ideal for jobs that are dangerous, uncomfortable, or impossible for human workers. Slide 31 © 2008 Prentice-Hall, Inc. As it matures, AI technology finds its way out of the research/


1 CMPUT 412 Motion Control – Wheeled robots Csaba Szepesvári University of Alberta TexPoint fonts used in EMF. Read the TexPoint manual before you delete.

fixed standard wheel car (Ackermann steering): N f = 2, N s =2  common axle 23 Robot Maneuverability  Degree of Maneuverability Two robots with same are not necessary equal Example: Differential drive and Tricycle (next slide) For any robot with the ICR is always constrained to lie on a line For any robot with the ICR is not constrained an can be set to any point on the/


Lynbrook Robotics Team, FIRST 846 Control System Miniseries - Lecture 4 06/11/2012.

(Δx => 0), the difference quotient becomes derivative and denoted as.  Following above simple steps, we can derive a few frequently used derivatives. See next slide. ‏Difference, Difference Quotient & Derivative x1x1 x 2 = x 1 + Δx y 1 = f(x 1 ) y 2 = f(x 2 )/ driven by a motor, motor is driven by speed controller, …. Physically you can see and touch most of them on our robot.  For each component, draw a block in system diagram.  Name input and output of each block, present them in symbols. Later,/


Robust Non-Linear Observer for a Non-collocated Flexible System Mohsin Waqar Intelligent Machine Dynamics Lab Georgia Institute of Technology December.

Project Motivation and Goals Non-collocated Flexible System and Non-minimum Phase Behavior Control Overview Test-bed Overview Plant Model Optimal Observer – The Kalman Filter Robust Observer – Sliding Mode Project Roadmap Motivation for Research – Flexible Robotic Arms 1) Manipulators with very large workspaces (long reach): Example - handling of nuclear waste. 2) Manipulators with constraint on mass: Example – space manipulators. 3) Manipulators with constraint/


NEISD 2012 Robotics Showcase Webinar Brought to you by: Dave Mullinix & Cindy Gregory.

. May 3rd - Revisions to the challenge slides are due. May 11th - We will pick up the boards and accessories. You will be responsible for delivering the robots and invention display. May 12th - Robotics Showcase Robotics Showcase Miscellaneous Pictures – (Staff Shared – Robotics - 2011_2012 folder) Save the Date postcard Robotics T-shirts Questions Robotics Showcase Resources NEISD Robotics Website – http://www.neisd.net/et/robotics/robot_club.htm http://www.neisd.net/et/


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