Adarsh Karan

Hello!
I am Adarsh Karan K P

MSc Robotics Student at The University of Manchester
Building the future, one Robot at a time

CV Linkedin Github
Proficient in both technical and creative domains
Programming Languages
Python

(ROS, ML, Computer Vision)

C#

(Unity Game Engine, Object-Oriented Programming)

C++

(Working with Robotics Libraries for ROS)

C

(Embedded Programming)

Java

(Object-Oriented Programming, App Development)

Operating Systems
Linux(Ubuntu)
Windows
Databases
MySQL
ROS 2 (Robot Operating System)

Extensive experience in ROS 2 development and deployment with enviroments and tools like

ROS2 Humble

(​ Proficient in a LTS version of ROS2)

ROS2 Rolling

(​ Experienced with ROS2 Rolling Development)

Ignition Gazebo

(​ Robot Simulation environment)

RViz

(used for robotic Visualization)

ROS 2 Expertise
  • Building Robots with ROS 2: ​Hands-on experience developing robots using ROS 2 (Humble), the latest Long-Term Support version, and ROS 2 (Rolling), the continuous development distribution.
  • Simulation & Visualization: Proficient in utilizing Ignition Gazebo for realistic robot simulations and RViz for data visualization, aiding in robot development and testing.
  • Exploring SLAM: Investigated and implemented SLAM algorithms (e.g., using SLAMtoolbox) within ROS 2 to understand robot self-localization and mapping.
  • Robot Navigation Fundamentals: Experienced working with ROS 2 navigation stacks like Nav2, gaining a strong foundation in robot navigation.
Kinematics & Dynamics Simulation
  • Strong Kinematics & Dynamics Background: Solid grasp of the mathematical principles behind robot motion (kinematics & dynamics), supported by experience using simulation tools (Ignition Gazebo)
CAD Tools
  • 3D Modeling for Robotics: Skilled in utilizing CAD tools like Blender for designing and prototyping robotic components.
Development Environments
Visual Studio Code
Visual Studio
PyCharm
Arduino IDE
Keil uVision
Android Studio
Google Firebase
Other Software Tools
MATLAB
EasyEDA
Proteus Design Suite
Tanner EDA
Google Firebase
GitHub
MS Office
LibreOffice
3D & Design
Unity

(Game Development & 3D Simulations)

Blender

(3D Modeling & Animation for captivating visuals)

UI/UX

(Crafting user-friendly interfaces for engaging applications)

Multimedia
Photography
Drawing
Adobe Suite
Video Editing
DaVinci Resolve
Krita
 ​Curious? Explore my photography

Video Presentations

Robtics and Sustainability

This video explores the potential of robotics in achieving the UN's Sustainable Development Goals (SDGs). It highlights how industrial and service robots can contribute to environmental conservation, socio-economic progress, and economic growth. With a focus on e-waste recycling and collaborative robots (cobots), the video showcases how robotics advancements can drive sustainability and positively impact multiple SDGs.

LiDAR Performance Analysis

This video showcases my in-depth analysis of the RPLidar A2M12 LiDAR sensor, evaluating its performance for robotics applications. Through experimentation, I explored factors like accuracy, resolution, and effective range (up to 13.8m). Results show higher accuracy at slower data rates and strong object detection. This analysis demonstrates my ability to critically assess sensor performance and identify its strengths and limitations.

Feedback Control for Drones

In this video, I explore the critical role of the feedback control algorithm in maintaining flight stability in 2D birotor UAS. Using the PID control algorithm, I implemented control for altitude, horizontal movement, and attitude. Tuning through trial and error, the drone achieved a 75% success rate in gusty conditions and 100% in multi-point navigation. This analysis showcases my ability to implement and optimize control systems for robotics applications.

Building an Auton​omous Retrieval Robot

01.

Sept 2023 - May 2024
GitHub 

My team and I built an autonomous mobile robot using the Leo Rover kit to retrieve objects in unknown environments.

Spearheaded ROS2 Navigation & Exploration: Implemented the ROS2 navigation stack (Nav2) for path planning and the Frontier Based Exploration algorithm for efficient exploration in unknown environments. Additionally, I leveraged the ROS2 SLAM toolbox for real-time mapping and localization. ​The project began with simulations in Gazebo with RViz visualization. We've taken a significant leap forward by successfully integrating these functionalities onto the real Leo Rover, enabling it to navigate autonomously in real-world environments.

Visit our GitHub to learn more!

Teleoperated Extraterrestrial Rover

03.

Feb 2024
GitHub 

Our 3-person team conceptualized, built, and programmed a remotely-controlled Teleoperated Extraterrestrial Rover in 24 hours. Demonstrating versatility, our teleoperated  robot navigated diverse terrains (sand, ramps, bridges) at the HackABot2024 Challenge(University of Manchester)

Vision for Remote Control: Contributed to integrating the camera and programming controls, enabling the robot to leverage live camera data for a seamless remote-control experience. 

Collaborative Design: Actively collaborated on the overall robot design, ensuring its functionality and ability to navigate diverse terrains.

Pricol Limited, India

Electronics Engineering Intern(Feb 2023 - May 2023)

My 3-month internship at Pricol Limited, Coimbatore provided valuable experience in the design, programming, optimization, and testing of automotive products like electric coolant pumps, fuel injection systems, and cabin tilt systems. This experience honed my skills in system design, embedded systems programming, testing and optimization, all transferable to Robotics development. I gained a deep understanding of the complete product development cycle, from design to production, including testing and diagnostics. This experience has solidified my foundation for contributing to the rigorous processes involved in bringing Robots to life.

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