Vikas Kumar,
Smita Bhosale,
Rudrani Tiwari,,
Snehal Ugane,
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Pune, Maharashtra, India
Abstract
This system develops an autonomous hexapod robot using an ESP32 microcontroller and IoT technology. This robot can move on its own, avoiding obstacles without human help. It’s equipped with various sensors like distance and ground slope sensors. These sensors provide data to the microcontroller, helping it control the robot’s movements and steer clear of obstacles. The robot runs on a battery, ensuring it can operate for extended periods without human intervention. Additionally, it’s connected to the internet, allowing communication with a central server or other IoT devices. We control and monitor the robot remotely using a Blynk app. This connectivity enables the robot to receive instructions or send data to a remote operator. Six legs make up the robot’s hardware, and each one has several degrees of freedom to replicate the flexibility and agility of living things. To offer precise navigation and environmental awareness, sensors including inertial measuring units (IMUs), cameras, and ultrasonic distance sensors are included. To enable autonomous operation, a central processing unit synchronizes motion planning, decision-making algorithms, and sensor data fusion. The robot’s movement is based on a predefined algorithm, considering the environment and obstacles. This type of robot can be useful in dangerous places like disaster zones or nuclear power plants, as well as for repetitive tasks like weeding and harvesting.
Keywords: ESP32 microcontroller, Wi-Fi camera, Motor driver, DC motors, Gyroscope sensor.
[This article belongs to Trends in Opto-electro & Optical Communication(toeoc)]
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References
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Trends in Opto-electro & Optical Communication
| Volume | 14 |
| Issue | 02 |
| Received | July 16, 2024 |
| Accepted | June 29, 2024 |
| Published | August 17, 2024 |