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Uday Kumar Surepally Banner

Hey there! šŸ‘‹

I'm a Master Student, Developer, Teacher, Photographer, Fitness Freak, and Traveller!!! šŸ˜

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Talking about Personal Stuffs:

  • šŸ”­ Iā€™m currently working on ROS2 with AI.
  • šŸŒ± Iā€™m currently learning Jetkins.
  • šŸ‘Æ Iā€™m looking to collaborate with other content creators and open source projects.
  • šŸ’¬ Ask me about anything, I am happy to help šŸ‘ØšŸ»ā€šŸ’»
  • šŸ„… 2023 Goals: Contribute more to Open Source projects.
  • āš” Fun fact: I love to play piano and watching movies.

šŸ”— Connect with me:

website website Ā Ā  website website Ā Ā  website website

šŸ›  Languages and Tools:

Python

C++

C

 Embedded C

Docker

HTML5

Git

GitHub

Premiere pro

Photoshop

Blender

Ardinuo

Linux

Raspberrypi

TensorFlow

OpenCV

PyTorch

Labview


šŸ“Š My GitHub Stats

UdayRockzz

UDAY KUMAR SUREPALLY's Projects

blynk-library icon blynk-library

Blynk library for embedded hardware. Works with Arduino, ESP8266, Raspberry Pi, Intel Edison/Galileo, LinkIt ONE, Particle Core/Photon, Energia, ARM mbed, etc.

cell_phone_controlled_sreach_vehicle_with_wireless_video_camera icon cell_phone_controlled_sreach_vehicle_with_wireless_video_camera

The search vehicle that is equipped with a wireless video monitoring system can be controlled through any mobile phone based on the concept of video analyzing. Generally Infrared or RF-based remote-controlled technology is used for controlling the Robots, but hear the mobile phone is used for controlling the vehicle, that moves in all directions depending upon the commands received through another mobile phone. The wireless video camera, which is arranged over the vehicle, and which is designed to rotate for capturing the live video of the surrounding area is also controlled through the same mobile. The receiving part of the project work, from where the vehicle is controlled through cell phone is equipped with a small TV set along with its video receiver. This technology dominates the other remote controlled systems because of the unlimited range. To prove the concept practically, one mobile phone is supposed to be attached to the robot and it is controlled by another mobile phone. After establishing a communication link between two mobiles, the caller mobile keypad numbers can be activated to generate different tone frequencies, and at receiving side with the help of DTMF (Dual Tone Multi Frequency) decoder chip, different binary codes are produced corresponding to the button pressed at transmitting side. The output of this DTMF decoder is fed to the microcontroller and depending upon the binary code produced by DTMF chip, the controller is programmed to control the motors independently. Three DC motors with reduction gear mechanism are used to drive the complete mechanical transmission section, depending upon the control signals, the vehicle moves in all directions and the camera is also controlled independently.

drl-robot-navigation icon drl-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

hololensnavigationforrobots icon hololensnavigationforrobots

From the Microsoft Applied Robotics Research team, this repository is an example system providing indoor navigation capabilities to a Pepper robot with a HoloLens device mounted to its head. Our team invites you to join us in research and engineering efforts that advance how robots can assist and augment the capabilities of human beings.

humanrobotinteraction icon humanrobotinteraction

Human Robot Interaction using SoftBank Pepper robot used as waiter for a generic restaurant.

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

multi_purpose_robot icon multi_purpose_robot

The Multifunction robot that is equipped with a wireless video monitoring system can be controlled through android mobile phone based on the concept of UART and android apps. Generally, Infrared or RF-based remote-controlled technology is used for controlling the Robots, but hear the mobile phone is used for controlling the vehicle, that moves in all directions depending upon the commands received through another mobile phone. The wireless video camera, which is arranged over the vehicle, and which is designed to rotate for capturing the live video of the surrounding area is also controlled through the same mobile and we can the video in the same mobile. The receiving part of the project work, from where the vehicle is controlled through a cell phone. This technology dominates the other remote controlled systems because of the unlimited range. To prove the concept practically, one mobile phone/Bluetooth module is supposed to be attached to the robot and it is controlled by another mobile phone. After establishing a communication link between two systems(i.e., from mobile to Bluetooth module through the app), the user side mobile app and output of this Bluetooth module is fed to the microcontroller and depending upon the instructions produced by the user, the controller is programmed to control the motors independently. Three DC motors with reduction gear mechanism are used to drive the complete mechanical transmission section, depending upon the control signals, the vehicle moves in all directions and camera is also controlled independently and all the variations of the project is done partly according to the instructions given from the user.

navigation icon navigation

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

pepper-robot-in-the-restaurant icon pepper-robot-in-the-restaurant

Project involving Human-Robot Interaction and Reasoning Agents modules. Pepper Robot is put into a restaurant environment to accomplish waiter tasks.

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