Here are some of my favorite robotics projects - a combination of personal, academic, and work projects that I can talk about. I also work on non-robotics assignments at work, but they are either not relevant for this website, or I cannot divulge details about them. You can have a look at these experiences on my LinkedIn profile.

Autonomous ROS2 Robot - AKROS2

2022 | Personal Project

In 2022, I upgraded the AKROS robot, with a Teensy 4.1 instead of an Arduino Mega, faster and more powerful motor controllers, an IMU, and a more compact navigation module. The motor control and odometry firmware are now implemented with micro-ROS instead of ROSSerial. The goal of this project is to upgrade to ROS 2 Humble, with the micro-ROS implementation as a low-level controller, implement Nav2 functionality, and use BehaviorTree.cpp 4.0 to upgrade my implementation from AKROS (ROS1).

Autonomous ROS1 Robot - AKROS

2021 | Personal Project

Through 2021, I built and programmed an autonomous mecanum-wheel-based robot using ROS 1 Noetic on a Raspberry Pi 4. I used a 2D LiDAR, a visual-inertial odometry camera (Intel T265), and wheel odometry to build a robot that can autonomously map and navigate in my studio apartment. I also implemented additional features such as teleop assist/mixing, closed-loop (holonomic) motion control, wireless charging, and behavior trees using BehaviorTree.cpp 3.x.

Jetson Robot Platforms - JetRacer, JetBot

2020 | Personal Project

During the Covid-19 lockdown, I decided to upgrade my Donkey Car into an NVidia JetRacer (based on the NVidia Jetson Nano), with custom add-ons like an IMU and teleop control. Due to the lack of driving space, I moved the hardware to a JetBot platform (differential drive). To demonstrate the Jetson Nano's AI capabilities, I trained an edge detection model to drive the robot on a desk without falling off.

Remote Computing for Robots using 5G mm-Waves

2018/2019 | BlueSPACE, Tech United, TU Eindhoven

For my PDEng Thesis, I designed and built a functional prototype for 5G-Robotics demonstrations using RoboCup MSL football-playing robots. This experimental setup was built using Tech United's TURTLE platform and BlueSPACE's mm-Wave setup, in order to validate that a distributed robotic/motion control system (operating at a frequency of 1 kHz or higher) can still maintain its real-time properties over a 5G network.

Multi-Drone Positioning and Formation Flying

2018 | European Space Agency (ESTEC), TU Eindhoven

Our team of 12 designed a multi-quadrotor demonstrator to simulate a multi-satellite space mission by the European Space Agency (ESA) for the ESA ESTEC Open Day 2018. As Software Architect and Designer, I led the development of a multi-camera positioning system to localize two quadrotors in 6dof for accurate trajectory following and control.

Autonomous Drone Referee

2018 | Tech United, Eindhoven University of Technology

In a team of 7, we designed and implemented an autonomous drone concept to referee RoboCup MSL football matches. The drone was programmed to track a calculated "bubble of active play" and provide recommendations based on the status of the tracked ball (goal, throw-in) and the tracked player robots (collisions, fouls). This was demonstrated on Tech United's RoboCup field using their TURTLE robot platform.

AGV Localization in Changing Indoor Environments

2016/2017 | Prodrive Technologies, TU Eindhoven

For my Master's Thesis, I worked with Prodrive Technologies to study and improve their current AGV localization strategy for their next generation of autonomous 2D LiDAR-based robots. Multiple strategies were proposed, implemented, and validated in a simulated environment using ROS 1 Kinetic and Gazebo. The leading strategy involved the addition of an IMU to correct for any localization failures, and predictive re-mapping of the workspace to correct for changes in the environment. This project is not open-access.

Maze Solving Robot

2016 | TU Eindhoven

As a part of a master's course, our team of 3 programmed a ROS-based holonomic robot platform to complete a maze using only 2D LiDAR data. We implemented the pledge algorithm and a random-walk sequence to solve simulated and physical mazes with 90-degree turns, interactive doorways, and open spaces. We participated in two challenges during the course, and ranked second, thus winning a crate of (well-deserved) beer!

Autonomous Navigation of a Lunar Robot

2013/2014 | MIT Manipal

For my Bachelor End Project, I designed and simulated an autonomy strategy for the lunar excavator robot built by our student team RoboManipal in 2012-2013. This involved the study and implementation of robot perception, trajectory planning and finally, motion control to complete the NASA Lunabotics Mining Challenge 2013 problem statement autonomously.

NASA Lunabotics Mining Competition 2013

2012/2013 | RoboManipal, MIT Manipal

Our 12-member team participated in the 4th NASA Lunabotics Mining Competition at Kennedy Space Center in Florida, USA in 2013. I was the Student Team Lead and Systems Engineer (Electronics/Software). As systems engineer, I designed the electronics, communications, and control software for our lunar excavator robot which teleoperated over a high-latency wireless network. The team ranked 19th among 50 teams and received commendations for our Systems Engineering paper.

ABU Robocon 2012

2011/2012 | RoboManipal, MIT Manipal

Our student team built one autonomous robot and one manually operated robot for the ABU Robocon 2012 national-level competition. I was involved in the design of the robot's electronics (IR sensor arrays, relay boards, Arduino shields) and the development of autonomous functionalities based on grid-based positioning algorithms. The autonomous robot was programmed to navigate on a flat surface with a grid, grab an object and place it autonomously at a pre-defined location. The manual robot was designed to be driven by an operator sitting on it and included an in-house designed arm to pick up specific objects in the arena.