I love robotics 🤖, automation, and anything else that expands human capability 🧠.
🎓 Currently in my 4th year of Computer Science and Engineering at Manipal Institute of Technology, Manipal.
Expected graduation: 2023
ROS, C/C++, Python, Gazebo, Buzz, CoppeliaSim, Version Control, Shell Scripting, Fusion360, Assembly
🦽 Research Intern, Ontario Tech University
- Selected as part of the Mitacs Globalink Research Internship Programme.
- Working under the guidance of Dr Scott Nokleby on the development of an autonomous wheelchair for children with physical challenges.
🔋 Undergraduate Researcher, IISER Bhopal
- Working under the guidance of Dr Sujit PB on UAV coverage planning in energy-constrained environments.
- Also part of Team Luna, which is currently one of 14 teams, and the only team from India in the simuation phase of MBZIRC-2023.
- Responsible for development of cooperative swarm behaviour of UAVs, and the operational pipeline.
🚁 Robotics Research Intern, Advanced Technology Divison - AEPL
AEPL (Aerospace Engineers Private Limited) is a leading manufacturing company in the aviation, aerospace, defense, and healthcare industries.
- Developed HITL (Hardware In The Loop) simulations for testing drone swarms.
- Set up, interfaced, and wrote functional applications for companion computers on drones to enable autonomous flying and mission execution.
- Made applications for flight monitoring and generating post-flight reviews, reports, and insights.
- Worked closely with hardware for systems integration.
⚡ Head of Sensing and Automation, Project MANAS
Official Robotics and AI team of MIT, Manipal.
- Built an autonomous drone with obstacle avoidance and coverage capabilities for AUVSI-SUAS 2022.
- Wrote applications for the onboard computer for autonomous flight.
- Developed a robust interface with the flight controller and several auxillary sensors.
- Integrated a 3D LIDAR with the software stack of a driverless car.
- Responsible for overseeing technical undertakings in the team and mentoring juniors
🇮🇳 National Semi-finalist, Swadeshi Microprocessor Challenge
Organised by the Ministry of Electronics and Information Technology, Govt. of India.
- Competed at the semi-final stage, among the top 100 of 3000+ participant teams.
- Developed a fully-functional Minimum Viable Product (MVP) of an ASRS for Indian warehouses using the indigenous Shakti processor.
- Designed the complete mechanical assembly and manufactured 3 versions of the system. Also wrote low-level controllers for the hardware.
- Received funding of Rs 100,000 for the project from the Govt. of India
Carriers is a decentralised navigation and formation system for drone swarms that uses the Token Ring algorithm to arrive at consensus. Built using PX4 Autopilot and MAVROS.
Fundamental Path Planning Using RRT
Implemented the RRT (Rapidly Exploring Random Trees) algorithm to find the shortest path, avoiding any obstacles in the way.
Multi-robot space coverage using space-filling Hilbert’s and Peano’s curves. Demonstrated with 3 independent ground robots in Gazebo.
Chipsy is an autonomous robotic arm that tracks a conveyor belt. Developed the robot URDF, as well as a custom plugin for conveyor belts in Gazebo-9.
Implemented the RRT algorithm for an autonomous drone to generate the shortest path that avoids obstacles, while also passing through a prescribed set of waypoints.
Developed a prototype for a hardware-based braille reader that uses OCR to identify text and physically actuate a braille pad.
Coverage Planner Using Offline STC
Implemented the offline version of the STC (Spanning Tree Converage) algorithm for coverage planning.
Fundamental Path Planning Using PRM
Designed a planner using PRM (Probabilstic Roadmaps) that avoids obstacles and finds the shortest path using Dijkstra's algorithm.