Open to Internships & Full-Time Opportunities

Hi, I’m Harshal.

I build Autonomous UAV Platforms

I design and build intelligent and autonomous systems. My work spans from UAV Autonomy, Computer Vision, and Multi-Agent Systems to real-time Robotics Control, Embedded Systems, and hardware integration.I enjoy bridging the gap between algorithms and the physical world, turning research ideas into reliable systems that translate from simulation to reality.

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About Me

Harshal Kolhe

Harshal Kolhe

B.Tech @ VNIT Nagpur · Minor in IoT · Vice Chairman @ IvLabs · Summer Intern @ IIT Roorkee

I am an engineering student at VNIT Nagpur with a minor in IoT and Vice Chairman of IvLabs, VNIT’s Robotics & AI Lab. My fascination with technology and flight began in school when I first saw a drone flying overhead. That moment sparked a curiosity about how these aerial platforms worked and eventually led me to start exploring autonomous systems and building Arduino-based projects of my own. That curiosity eventually grew into a deeper interest in aerial robotics.

At VNIT, IvLabs gave me the platform to turn that interest into hands-on engineering. I started with fixed-wing aircraft, moved into multirotors and VTOL platforms, and have since been focused on building autonomous aerial systems. Along the way, I’ve worked across UAV design, fabrication, embedded electronics, flight control, computer vision, and autonomous navigation, including research work on quadrotor control at IIT Roorkee.

What I enjoy most is building a machine from the ground up — designing the structure, integrating electronics, developing and deploying algorithms, and finally putting everything through real-world testing and benchmarking. For me, the most rewarding part is seeing individual components come together as a system that actually works.

I’m currently looking for semester-long internship opportunities and full-time roles where I can build, deploy, and engineer real-world autonomous systems across UAVs, robotics, and embedded technologies.

8.66 CGPA / 10.0
2× Research Internships
4 Publications
6+ Projects Built
2 National Awards & Best Paper
1st Runner-Up Drone Helix UAV
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Professional Experience

Research experience in aerial robotics and autonomous systems.

Summer Research Intern

ICCN Lab, IIT Roorkee

Research May 2026 – July 2026 Roorkee, India
WHAT I BUILT

Implemented a secure V2X-based inter-UAV authentication protocol and deployed it across physical UAV platforms for secure, low-latency communication.

ENGINEERING CHALLENGES

Securing communication packets against interception and tampering while overcoming proprietary device constraints, limited onboard resources, and the challenges of reliable protocol deployment on physical UAV hardware.

IMPACT & RESULTS

Deployed and validated the protocol on two self-assembled UAVs, demonstrating end-to-end authentication and secure inter-UAV communication with approximately 10 ms communication latency in a real-world hardware setup.

KEY LEARNINGS

Acquired hands-on experience in embedded protocol implementation, UAV networking, V2X communication, device authentication, wireless communication, and deploying security protocols on physical autonomous systems.


V2X UAVs Embedded Systems Authentication Wireless Networking Secure Communication

Summer Research Intern

CARS LAB, IIT Roorkee

RESEARCH May 2025 – July 2025 Roorkee, India
WHAT I BUILT

Built a high-frequency data collection and processing pipeline that synchronized multi-source flight and payload-unit data streams for reinforcement learning policy validation.

ENGINEERING CHALLENGES

Managing high-frequency data arriving at different rates, maintaining synchronization across multiple flight and payload data streams, and overcoming real-hardware pipeline bottlenecks while ensuring sufficient data throughput for real-time RL inference.

IMPACT & RESULTS

Built a real-time autonomy stack that streamed 20+ state variables from CubeOrange at 100 Hz via MAVLink, performed onboard RL inference, and generated flight-control commands for autonomous stabilization.

KEY LEARNINGS

Acquired hands-on experience in high-frequency data processing, multi-rate data synchronization, real-time telemetry, hardware pipeline optimization, data-rate benchmarking, MAVLink communication, and onboard RL inference.


Edge Computing Python PySerial DroneKit ArduPilot MAVLink

Robotics Research Intern

IvLabs, VNIT Nagpur

RESEARCH May 2024 – July 2024 Nagpur, India
WHAT I BUILT

Designed and developed a custom fixed-wing UAV, covering aerodynamic analysis, aircraft sizing, CAD design, fabrication, and flight testing.

ENGINEERING CHALLENGES

Optimizing aircraft geometry and performance through airfoil selection, weight estimation, thrust-to-weight analysis, wing sizing, and centre-of-gravity adjustment, while prioritizing a simple, practical, and easily manufacturable airframe design.

IMPACT & RESULTS

Selected the NACA2412 airfoil through XFLR5 analysis, designed a 1.25 m wingspan aircraft with a 25 cm chord, fabricated the airframe using foam, carbon-fibre reinforcement and 3D-printed components, and conducted flight testing.

KEY LEARNINGS

Acquired hands-on experience in aerodynamic analysis, fixed-wing aircraft design, CAD modelling, aircraft sizing, fabrication, centre-of-gravity adjustment, and flight testing.


XFLR5 CAD ArduPlane Aerodynamic Analysis Aircraft Design 3D Printing
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Featured Projects

A closer look at the projects I’ve designed, built, and tested.

Multiagent Hybrid Disaster Rescue Drones
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Autonomous Multi-UAV Search and Rescue System

Two-drone system with lawnmower search, YOLO-based human detection (90% accuracy at 8 m), GPS coordinate generation, and autonomous relief package delivery. Built on SIYI A8 Mini + OpenCV RTSP pipeline with MAVLink telemetry for real-time multi-UAV tracking.

MavLink OpenCV GStreamer ArduPilot Python RTSP DroneKit YOLOv11n
Dual UAV Scan & Spray for Precision Agriculture
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Dual UAV Scan & Spray for Precision Agriculture

Dual-UAV system with lawnmower field coverage, onboard HSV-based crop detection, GPS geotagging, and autonomous precision spraying. Built with Jetson Orin, SIYI A8 Mini, ArduPilot, and MAVLink telemetry for real-time UAV coordination.

OpenCV Raspberry Pi 5 PCB Design ArduPilot MAVLink C++ Python
Gesture Controlled Autonomous Quadcopter
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Gesture Controlled Quadcopter

Autonomous drone control system mapping real-time hand gestures to flight maneuvers. Multi-threaded architecture running real-time gesture stabilization (deque windowing), MAVLink/MAVProxy telemetry, and SITL flight simulation with ArduPilot and Gazebo.

ArduPilot MAVLink MAVProxy Gazebo SITL Python
Adaptive Dual-Nozzle Spraying System
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Adaptive Dual-Nozzle Spraying System

Raspberry Pi–based adaptive spraying system for precision agriculture, dynamically switching between precision and wide-area nozzles based on plant clustering. Custom PCB integrates MOSFET switching, relay control, pump actuation, and solenoid valves for reliable automated spraying.

Raspberry Pi PCB Design ArduCopter PWM Control Python
Context-Aware Navigation Assistant HUD and Obstacle Detection
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Context-Aware Navigation Assistant

A Python-based navigation assistant that combines YOLOv8 object detection, monocular distance estimation, spatial corridor analysis, and a rule-based decision engine to evaluate the road ahead and provide context-aware navigation recommendations through a visual HUD and voice guidance.

YOLOv8 OpenCV Python
Design and Development of Fixed-Wing UAV
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Design & Development of Fixed-Wing UAV

Fixed-wing UAV designed for autonomous flight, combining aerodynamic analysis, aircraft sizing, CAD modeling, and lightweight fabrication. The aircraft uses a NACA 2412 airfoil with a high-wing rectangular configuration, tractor propulsion, and taildragger landing gear.

Fixed-Wing UAV XFLR5 SolidWorks Aerodynamics Flow Simulation
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Publications

Research-driven work advancing autonomy, aerial systems, and intelligent robotics.

  1. 2026

    ATLAS: A Cooperative Aerial System for Large-Scale Search and Delivery

    Harshal Kolhe, Spruha Kshirsagar, Mrunmayee Limaye, Sanchet Dhalwar, Ishani Khaty, Vishnu S, Ajinkya Baxy

    Presented at ASME's International Mechanical Engineering Congress & Exposition India 2026

    A distributed fleet of aerial agents using shared communication meshes to dynamically map and scan massive geographic areas. This is highly useful for search-and-rescue, disaster response, and agricultural monitoring.

    Multi-Drone CoordinationAerial Human DetectionAutonomous Aerial SystemsCoverage Path Planning
  2. 2026

    Hybrid Controller Development for a VTOL Using PID, LQR and MPC

    R. Deshmukh, H. Kolhe, S. Biswas, and S. S. Chiddarwar

    Presented at International Conference on Advances in Mechanical and Manufacturing Systems (ICAMMS) · VNIT Nagpur, 2026

    Development and comparative evaluation of a hybrid controller combining PID, Linear Quadratic Regulator (LQR), and Model Predictive Control (MPC) for stable transition-flight control of a VTOL aircraft.

    VTOL TransitionMPC, LQR ,and PIDControl SystemsHybrid ControllerICAMMS
  3. 2026

    A Multi-Agent Drone System for Real-Time Victim Detection and Aid Delivery

    S. Kshirsagar, H. Kolhe, R. Deshmukh, K. Ayush, S. Dhalwar, S. Biswas, M. Limaye, and S. S. Chiddarwar

    Presented at International Conference on Advances in Mechanical and Manufacturing Systems (ICAMMS) · VNIT Nagpur, 2026

    Cooperative multi-UAV framework combining lawnmower-based area coverage, strip-stealing coordination, RTK-based localization, and real-time YOLO-based victim detection for autonomous aid delivery in disaster-response missions.

    Multi-UAVDisaster ResponseUAV AutonomyComputer VisionRTK
  4. 2025

    Prompted to Fly: Translating Free-Form Instructions into Schema-Constrained Mission Generation for UAVs using LLMs

    A. Sharma, M. Ravikiran, S. Chakrabarty, R. Saluja, M. Limaye, H. Kolhe, and S. Samiron

    2025 IEEE International Conference on Big Data (BigData) · Macau, China

    A system that translates natural-language operator instructions into schema-constrained UAV mission plans using large language models, enabling non-expert users to command autonomous drones through free-form text.

    LLMs for DronesUAV Mission PlanningNLPDataset
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Career Journey

Education, research experience, and the milestones that shaped how I build systems.

May 2026 — Jul 2026

Summer Research Intern — Secure UAV Communications

Indian Institute of Technology, Roorkee

Designed a custom secure drone authentication protocol using V2X device communications. Implemented IEEE 802.11p standards in Embedded C on the Unex SOM-352 chipset with 10 ms communication latency. Validated end-to-end secure inter-UAV communication and authentication on two self-assembled UAVs — a real-world proof of concept for low-latency drone mesh networks.

Dec 2025 — Present

Vice Chairman of IvLabs

Visvesvaraya National Institute of Technology, Nagpur

Lead VNIT’s premier Robotics and AI lab, managing its Aerial Systems division. Mentor junior student teams on autonomous UAV projects, coordinate lab research activities and procurement, and represent the lab at national competitions and conferences including NIDAR and ASME. Captain the lab’s NIDAR team, driving its participation and execution.

May 2025 — Jul 2025

Summer Research Intern

Indian Institute of Technology, Roorkee

Developed a reinforcement learning control pipeline for a quadcopter carrying a suspended payload, achieving 85% suppression of payload-induced oscillations. Built a high-frequency pipeline synchronising 20+ flight & 8+ payload data streams. Deployed RL inference in real-time on CubeOrange via MAVLink at 100 Hz using a Raspberry Pi as the onboard flight computer.

Oct 2024 — Dec 2025

Member of IvLabs

Visvesvaraya National Institute of Technology, Nagpur

Joined VNIT’s premier Robotics and AI lab, participating in drone-building competitions and research Publications. Gained hands-on experience in rapid prototyping, system integration, and collaborative problem-solving within a cutting-edge technical environment.

May 2024 — Oct 2024

Summer Intern at IvLabs (Robotics & AI Lab)

Visvesvaraya National Institute of Technology, Nagpur

Selected through a rigorous screening process involving tasks related to Python, OpenCV, electronics, and CAD, competing against 200+ applicants. Worked on the development of a fixed-wing UAV during the summer internship.

Aug 2023 — Present

Bachelor of Technology (B.Tech) in Chemical Engineering with Minor in Internet of Things (IoT)

Visvesvaraya National Institute of Technology (VNIT), Nagpur, India

Secured admission to VNIT through JEE with an All India Rank under 50,000. Earned a Minor in Internet of Things (IoT) after first year through the institute’s internal selection process.

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Achievements

Awards, competitions, and recognitions earned through building and deploying real systems.

First Author and Presenter at ASME IMECE

ASME IMECE · Chennai, India, 2026

Presented ATLAS: A Cooperative Aerial System for Large-Scale Search and Delivery at the premier ASME conference

Ignite Prize Winner

National Innovation Challenge for Drone Application and Research · 2026

Ranked among the Top 5 of 100+ teams nationwide for demonstrating a drone-based precision agriculture system, leveraging autonomous aerial systems for targeted crop monitoring and agricultural intervention.

Best Paper Presentation Award

International Conference on Advanced Materials & Manufacturing for Sustainability — 2026

Received Best Paper Presentation Award for presenting research on Hybrid Controller Development for a VTOL using PID, LQR, and MPC.

First Runner-Up — Drone Helix Competition

SVNIT Surat · 2025

Secured 2nd place in a national-level autonomous drone challenge, demonstrating advanced capabilities in precision navigation and mission-specific automation.

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Engineering Toolkit

From UAV design and embedded systems to autonomous flight and intelligent control.

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UAV & Autonomous Systems

Designing and deploying autonomous aerial systems for navigation, search & rescue, and real-world missions.

ArduPilot PX4 QGroundControl Mission Planner MAVLink MAVSDK DroneKit ROS 2 Linux VTOL Transition
Autonomous Navigation Mission Planning Telemetry Multi-UAV Systems Target Localization
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Programming Languages and Tools

Programming languages and technical languages I use to build projects.

C C++ Python JAVA Git GitHub
Embedded Programming UAV Scripting Data Processing & Simulation Version Control
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Design & Fabrication

Designing, analysing, fabricating, and integrating custom systems from concept to deployment.

SolidWorks Fusion 360 AutoCAD PCB Design PCB Fabrication
Part Design Assembly Design Assembly Simulation Structural Design Hardware Fabrication
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Computer Vision & Perception

Building visual perception pipelines for autonomous systems.

OpenCV PyTorch YOLOv8 NumPy RTSP
Object Detection Aerial Vision Target Detection
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Embedded Systems & Hardware

Connecting autonomous intelligence with real-world sensors, flight controllers, and onboard computing hardware.

Raspberry Pi ESP32 Arduino Jetson Orin Nano UART I2C SPI
Onboard Computing Sensor Integration Flight Controllers Real-Time Systems Hardware Communication PCB Integration

Technologies I work with

ArduPilot PX4 QGroundControl Mission Planner MAVLink MAVSDK DroneKit ROS 2 CubeOrange Raspberry Pi ESP32 STM32 Embedded C SolidWorks Fusion 360 XFLR5 MATLAB OpenCV YOLOv8 PyTorch NumPy Pandas Python C++ C Java Docker Git Linux
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Let’s Build
Something
Together.

I’m looking for internship or full-time roles in UAV Autonomy, Aerial Robotics, Embedded Systems, UAV Hardware, and VTOL Systems. If you’re working on problems that require real systems not just simulations — let’s talk.

Multiple resume versions available for different roles:
UAV Autonomy & Aircraft Systems · Embedded Systems · Computer Vision Systems

Get in Touch

Have a role, project, or collaboration in mind? I’d love to hear from you.