Arduino Robot Bonanza by Gordon McComb

By Gordon McComb

Book Details:

ASIN: B00BPO7CLK
Publisher: McGraw-Hill schooling TAB
Publication Date: 2013-04-03
Number of Pages: 416
Website: Amazon, LibraryThing, Google Books

Synopsis from Amazon:

Create high-tech strolling, speaking, and pondering robots

"McComb hasn't ignored a beat. It's an absolute winner!" -GeekDad, Wired.com
Breathe existence into the robots of your dreams-without complex electronics or programming abilities. Arduino robotic Bonanza indicates you ways to construct self reliant robots utilizing usual instruments and customary components. the way to twine issues up, software your robot's mind, and upload your individual certain aptitude. This easy-to-follow, totally illustrated consultant begins with the Teachbot and strikes to extra complicated initiatives, together with the musical TuneBot, the remote-controlled TeleBot, a slithering snakelike 'bot, and a robot arm with sixteen inches of reach!

  • Get all started at the Arduino board and software
  • Build a microcontroller-based brain
  • Hook up high-tech sensors and controllers
  • Write and debug robust Arduino apps
  • Navigate by means of strolling, rolling, or slithering
  • Program your 'bot to react and discover on its own
  • Add handheld remote control and instant video
  • Generate sound results and synthesized speech
  • Develop sensible robotic fingers and grippers
  • Extend plans and upload interesting features

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Sample text

C) Figure 11: The of joint range of motion for sitting crosslegged on a floor. (a) Calculated by the HJC estimated from plvis. (b) Calculated by the HJC estimated from femur. (c) Calculated by two HJCs estimated from pelvis and femur. (a) (b) (c) Table 2: The gaps between the end points of vp and vf. Figure 12: The joint range of motion for kneeling on one’s knees. (a) Calculated by the HJC estimated from plvis. (b) Calculated by the HJC estimated from femur. (c) Calculated by two HJCs estimated from pelvis and femur.

3] Otake, Y. et al, 2003, 4-dimensional computer-based motion simulation after total hip arthroplasty, Stud Health Technol Inform 94: 251-257. [4] Hagio, K. et al, 2004, A novel system of fourdimensional motion analysis after total hip arthroplasty, J Orthop Res 22/3: 665-670. , Tyburski, D. , 1991, A gait analysis data collection and reduction technique, Human Movement Sciences, 10/5: 575-587. , 1992, dynamics of human gait, 15-43, Human Kinetics Publisher. , 2006, Tom Atlas of Anatomy, BUNKODO CO, 244-247.

The resultant membership function for ∆ M X (or ∆ M Y ) is shown in Figure PIN INSERTION IMITATING HUMAN MOTION 4. Other membership functions for ∆ FX (or ∆ FY ) and FZ are shown in Figures 5 and 6, respectively. The membership function for the consequent part is shown in Figure 7. One of purposes of this study is to increase the performance of a robotic pin insertion so that it becomes human equivalent. For this purpose, it is effective to imitate the human motion. Therefore, at first in this study, a human pin insertion task was observed in detail for 10 testees.

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