Manuscript Number : IJSRST207212
AI Based Biped Robot
Authors(5) :-Prof. S. M. Jadhav, Dhondge Kaustubh V, Kadekar Gausmohammad I, Surve Ashlesha D, Patil Rupesh R In this paper, we focus on bipedal robot development and control for different surface conditions using an AI based approach. The core components of our existing robot are pressure sensor, servomotor and software-driven microcontroller. We performed robot system simulation for various ground surface conditions to control the robot with respect to pressure-sensing data that incorporates the two-way interactions between robot and ground. In our machine, we're imposing the robot which may be managed by means of ai. The movement of two-legged gadget is called as taking walks. Strolling can be statically or dynamically solid. Going for walks is usually dynamically solid. Airborne time for ASIMO is 0.08 sec. Keep foot flat at the floor (fully actuated). Estimate hazard of foot roll by means of measuring ground reaction forces. Cautiously design desired trajectories thru optimization. Keep knees bent (avoid singularity). The adaptive trajectory monitoring manages (high remarks profits). The maximum critical undertaking inside the development of biped robot is robotic mechanical structure. Stiffness and compliance consist with biped determine with flexibility of shape. The primary goal is to design a biped shape that may effortlessly control and capable of dealing with entire situation like humans. A normal man can weigh up to ten kg of load without difficulty and panting with accuracy. Even as designing we ought to remember such a lot of parameters inside the proposed machine, we're interfacing the flexi force sensor with Arduino mega. And measuring the foot stress of robotic after that send that fee to raspberry pi primarily based on ai robot will controlled mechanically. When people think of artificial intelligence (ai), the major image that pops up in their heads is that of a robot gliding around and giving mechanical replies.
Prof. S. M. Jadhav SVM, ANN, Supervised Learning, Arduino Mega, Flexi force sensor, Servo motors, Raspberry Pi. Publication Details
Published in : Volume 7 | Issue 2 | March-April 2020 Article Preview
Department of Computer Engineering, Pune, Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Maharashtra, India
Dhondge Kaustubh V
Department of Computer Engineering, Pune, Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Maharashtra, India
Kadekar Gausmohammad I
Department of Computer Engineering, Pune, Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Maharashtra, India
Surve Ashlesha D
Department of Computer Engineering, Pune, Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Maharashtra, India
Patil Rupesh R
Date of Publication : 2020-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 36-43
Manuscript Number : IJSRST207212
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST207212
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