This paper is published in Volume-11, Issue-2, 2025
Area
Robotics
Author
Kalyani Anumalla, Bhoomi Gupta, Mohd. Ajmal Javed, Prof. Nikhil VS
Org/Univ
MCT's Rajiv Gandhi Institute of Technology, Mumbai, Maharashtra, Mumbai
Keywords
Arduino, Bipedal Robot, Obstacle Avoidance, Inverse Kinematics, Servo Motor
Citations
IEEE
Kalyani Anumalla, Bhoomi Gupta, Mohd. Ajmal Javed, Prof. Nikhil VS. Obstacle Avoiding Arduino Controlled Bipedal Robot, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kalyani Anumalla, Bhoomi Gupta, Mohd. Ajmal Javed, Prof. Nikhil VS (2025). Obstacle Avoiding Arduino Controlled Bipedal Robot. International Journal of Advance Research, Ideas and Innovations in Technology, 11(2) www.IJARIIT.com.
MLA
Kalyani Anumalla, Bhoomi Gupta, Mohd. Ajmal Javed, Prof. Nikhil VS. "Obstacle Avoiding Arduino Controlled Bipedal Robot." International Journal of Advance Research, Ideas and Innovations in Technology 11.2 (2025). www.IJARIIT.com.
Kalyani Anumalla, Bhoomi Gupta, Mohd. Ajmal Javed, Prof. Nikhil VS. Obstacle Avoiding Arduino Controlled Bipedal Robot, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kalyani Anumalla, Bhoomi Gupta, Mohd. Ajmal Javed, Prof. Nikhil VS (2025). Obstacle Avoiding Arduino Controlled Bipedal Robot. International Journal of Advance Research, Ideas and Innovations in Technology, 11(2) www.IJARIIT.com.
MLA
Kalyani Anumalla, Bhoomi Gupta, Mohd. Ajmal Javed, Prof. Nikhil VS. "Obstacle Avoiding Arduino Controlled Bipedal Robot." International Journal of Advance Research, Ideas and Innovations in Technology 11.2 (2025). www.IJARIIT.com.
Abstract
This paper presents the design and development of an Arduino-controlled bipedal robot with integrated obstacle avoidance. The robot simulates human walking using servo motors and executes real-time path adjustments based on ultrasonic sensor input. Inverse kinematics principles guide the movement, and the structure is fabricated using PLA-based 3D printing for lightweight and modular design. The system demonstrates efficient coordination of mechanical, electronic, and software elements for autonomous walking and navigation in dynamic environments.