MIT Press Introduction to Autonomous Mobile Robots Part 10 pptx

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 10 pptx

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 10 pptx

... such histograms as whole-image features, we need ways to compare to histograms to quantify the likelihood that the histograms map to nearby robot positions. The problem of defining useful histogram ... local feature extractor used by the mobile robotics community is the edge detector, and so we begin with a discussion of this classic topic in computer vision. However, mobile robo...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots part 2 pptx

MIT.Press.Introduction.to.Autonomous.Mobile.Robots part 2 pptx

... local- ization. The final part of chapter 5 is devoted to a discussion of the challenges and most promising techniques for mobile robots to autonomously map their surroundings. Mobile robotics is so ... 2.2) movement pendulum Oscillatory of a multi-link movement pendulum 8 Chapter 1 For example, AGV (autonomous guided vehicle) robots (figure 1.8) autonomously deliver parts betw...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots part 1 doc

MIT.Press.Introduction.to.Autonomous.Mobile.Robots part 1 doc

... Links to Mobile Robots 314 Index 317 Autonomous Mobile Robots Introduction to Roland Illah R. SIEGWART NOURBAKHSH Autonomous Mobile Robots SIEGWART and NOURBAKHSH Introduction to Introduction to ... localization strategies, autonomous mapping, and navigation competence. Bringing together all aspects of mobile robotics into one volume, Introduction to A...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 3 pdf

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 3 pdf

... person touches AIBO on the chin. 8 Pause button: Press to activate AIBO or to pause AIBO. 9 Chest light: Gives information about the status of the robot. 10 Paw sensors: Located on the bottom of ... faced by different mobile robots. So you will see great variety in the wheel configurations of mobile robots. In fact, few robots use the Ackerman wheel configuration of the autom...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 4 potx

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 4 potx

... systems behave. In mobile robotics, we need to understand the mechanical behavior of the robot both in order to design appro- priate mobile robots for tasks and to understand how to create control ... 0= 100 100 010 001 x · y · θ · 100 x · y · θ · 0== X I X I X R β β t() αβ+()sin αβ+()cos– l–() βcos R θ()ξ I · rϕ · –0= αβ+()cos αβ+()sin l βsin R θ()ξ · I 0= 3 Mobile Rob...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 7 pot

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 7 pot

... sensitive to light between 400 and 100 0 nm wavelength. It is important to remember that photodiodes are less sensitive to the ultraviolet end of the spectrum (e.g., blue) and are overly sensitive to ... return almost parallel to the transmitted beam for distant objects. The sensor transmits 100 % amplitude modulated light at a known frequency and mea- sures the phase shift betwee...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 8 pot

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 8 pot

... kernel depicted by equation (4.37) causes pixel to make the fol- lowing contributions to the target image : += -40; += 10; += 10; += 10; += 10. Now consider the graphic example of a step ... ring. For this reason this method has not been applied to mobile robots. A variation of the depth from focus technique has been applied to a mobile robot, dem- onstrating obstac...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 9 ppsx

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 9 ppsx

... by taking uncertainty into account explicitly. 4.3.1.3 Range histogram features A histogram is a simple way to combine characteristic elements of an image. An angle his- togram, as presented in ... identifying a specific room in an office building applies to the entire room, but has a location that is spatially limited to the one particular room. In mobile robotics, features play an e...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 11 doc

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 11 doc

... are partic- ularly appropriate for study given their significant recent successes in enabling mobile robots to navigate a variety of environments, from academic research buildings, to factory floors, ... involves line extraction. Many indoor mobile robots rely upon laser rangefinding devices to recover distance readings to nearby objects. Such robots can automatically extrac...
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MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 12 doc

MIT.Press.Introduction.to.Autonomous.Mobile.Robots Part 12 doc

... to the left, 0.9. The likelihood for being at state 2 is then . In addition, 1-2 progresses to state 4 with a certainty factor of , which is added to the certainty factor above to bring the total ... in this particular topological model arcs are zero-length while nodes have spa- tial expansiveness and together cover the entire space. This particular topological represen- tation is par...
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