I'm Joel V George, a Robotics R&D Engineer specialising in Perception, Simulation, CAD, and Control Systems
I'm Joel V George, a Robotics R&D Engineer specialising in Perception, Simulation, CAD, and Control Systems
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Education
Education
MS Robotics & Autonomy - Drexel University (USA)
B.Tech Robotics - Amity University Noida (India)
Bachelor's of Business Administration - Amity Online
Robotics R&D Engineer with a strong foundation in automation, control systems, piezoelectronics and agricultural technology. Experienced in designing unmanned ground vehicles (UGVs), vision-based robotic systems, and MATLAB simulations. Adept at hardware integration, product design, and technical leadership. Passionate about applying robotics to solve real-world agritech and other automation challenges.
Robotics R&D Engineer with a strong foundation in automation, control systems, piezoelectronics and agricultural technology. Experienced in designing unmanned ground vehicles (UGVs), vision-based robotic systems, and MATLAB simulations. Adept at hardware integration, product design, and technical leadership. Passionate about applying robotics to solve real-world agritech and other automation challenges.
Technical Skills
Technical Skills
Python, C++
SLAM
Matlab Simulations
Linux
Computer-Aided Design (CAD)
Vision Language Models
Robot Foundational Models
Machine Learning
Robotics Architecture & Integration
Webots Simulation
ROS2
Rapid Prototyping
Piezoelectric Systems
Unmanned Ground & Aerial Vehicles
VSCode, Fusion 360
Microcontrollers: Raspberry Pi, Arduino, ESP32, STM 32
EXPERIENCE
EXPERIENCE
Freelance CAD Designer
Part Time (Jun 2024 - Present)
Designs are displayed in the Personal Projects sections.
INTERN - Indian Institute of Information Technology Kottayam
Full Time (May 2024 - Aug 2024)
Design of Smart Bulletproof Vest with Real-Time Health Monitoring and Casualty Assessment (FEA). - Integrating Force Sensors, Accelerometers, and Pulse Sensor to an ARM STM32F103C6 to transmit the real-time data of force being applied to suit and to measure the health of the Military Personnel.
TRAININGS
TRAININGS
Aerial Robotics - University of Pennsylvania
Systems Engineering - University of New South Wales
Coursera RTPDTR3IZ0MD.pdfFinancial Markets - Yale School of Business
Experimental Robotics - NPTEL
UC-28f4b0f1-9d63-494c-adf4-c01eb90b0a39.pdfRobot Process Automation Developer - Udemy
Python Programming - Internshala
UC-7fed50ba-ce38-4b10-ad48-e015f08752f5.pdfLidar Fundamentals
PROJECTS & PORTFOLIO
PROJECTS & PORTFOLIO
CAD Design
CROPMINDER MARK II
CROPMINDER MARK II
CropMinder Mark II as an autonomous UGV for precision harvesting of delicate bush crops (starting with strawberries, scalable to blueberries and similar crops ≤800 mm), featuring dual 6-DOF arms, soft grippers, modular expandable chassis, swappable harvest baskets, and indoor/outdoor day–night capability.
Tech stack: ROS2-based distributed architecture with C++ and Python nodes for navigation, manipulation, and safety control; computer vision pipeline (OpenCV and PyTorch) for ripeness estimation; MCU-based control for drives, grippers, load cell integration, emergency power cutoff, and solar-tracking charge module; wireless interface for real-time farmer alerts and yield dashboard.
Performance: ≥94% strawberry ripeness detection accuracy, 3+ hours runtime per battery (extendable to 18+ hours via hot-swappable packs and solar assist), minimized crop damage via soft-contact gripping, and continuous yield with system health telemetry to enable data-driven farm operations.
The Project was recognized as the BEST HARDWARE IMPLEMENTATION at Techovate 25 conducted by Amity University
DEVELOPMENT COST = $ 2400
DEVELOPMENT DURATION = JUN 2024 - MAY 2025
Custom made CNN Model for Strawberry Identification
Dimensions
Width - 350mm, (600mm in full stretch)
Height - 500mm (800mm in full stretch)
Length - 950mm
Specifications
Weight - 30kg
Max Speed - 10kmph
Battery Weight - 5kg
Runtime - 3 hrs (single battery)
Extended Runtime - 3 hr 20 mins (with regen)
Total Recommended Runtime - 18 hrs (6 Ideal battery swaps)
Basket Load - 5 kg (once)
The concept of affordable automation is a driving factor in building this agri-tech product
Inverse Kinematics Programming
Cropminder Mark I
Electronics of Mark II
ML model of Mark II in real life
MEDIA COVERAGE
OMNI-DIRECTIONAL AGV FOR WAREHOUSES AND INDUSTRIAL APPLICATIONS
OMNI-DIRECTIONAL AGV FOR WAREHOUSES AND INDUSTRIAL APPLICATIONS
Conceptual design for a fully autonomous logistics AGV inspired by forklift operations, featuring mecanum-wheel omnidirectional mobility, adjustable air-suspension chassis for load engagement, dual LiDAR-based perception, and full 360° safety coverage for industrial warehouse environments.
Proposed Tech Stack: ROS2-based navigation and coordination, C++ and Python for control and perception, LiDAR + SLAM for mapping and obstacle avoidance, embedded motor control for belt-driven mecanum wheels, integrated limit switches and safety I/O for chassis actuation and E-stop handling.
Targeted Impact: Engineered to enable sub-5 cm docking precision, smooth omnidirectional navigation in narrow aisles, reduced maneuvering time vs. conventional forklifts, high operational safety via multi-sided E-stops and protected critical components, and a scalable architecture suitable for multi-AGV fleet coordination.
This is my own design replica of "Fraunhofer O3dyn" and is used solely to showcase my skills in design, control systems, and embedded systems. I do not intend to commercialise or open-source this design. Design and patent copyrights exist with the actual owner.
DIGITAL TWIN FOR ULTRA FAST CHARGING OF 625AH LITHIUM ION BATTERY
DIGITAL TWIN FOR ULTRA FAST CHARGING OF 625AH LITHIUM ION BATTERY
This Simulink model represents a digital-twin-based lithium-ion battery charging and monitoring architecture with anode-potential safety enforcement. Measured pack voltage and current are injected with configurable disturbances and fed into a twin estimator that reconstructs internal states such as SOC, anode potential, overpotential, RC voltage, and adaptive ohmic resistance.
A parameter-adaptation block updates model parameters online and computes residual errors used for fault detection. Constraint monitors translate estimated electrochemical limits into current bounds, which gate the CC–CV current request.
The architecture explicitly separates estimation, adaptation, constraint enforcement, and fault flagging to ensure robust ultra-fast charging under sensor noise and model mismatch.
SUSPENSION INTEGRATED BELT DRIVEN TRACK SYSTEM FOR UGV'S
SUSPENSION INTEGRATED BELT DRIVEN TRACK SYSTEM FOR UGV'S
Designed a compact belt-driven tracked propulsion system with integrated suspension and triple coil-spring bogies for improved stability and traction on uneven terrain. Intended as a modular mobility platform for agricultural and reconnaissance UGVs, optimized for low-profile integration and harsh outdoor conditions. Concept validated through virtual modeling only (pre-fabrication stage).
Tech stack: Fusion 360 (3D CAD), kinematic simulations (suspension + track path), CAM-oriented design for CNC or laser-cut components; prepared for future integration with motor drivers, encoders, and embedded controllers.
ZAFFRA - SAFFRON HARVESTER MACHINE FOR PRECISION AGRICULTURE
ZAFFRA - SAFFRON HARVESTER MACHINE FOR PRECISION AGRICULTURE
Designed ZAFFRA, a multi-arm robotic system concept for automated saffron harvesting using four 6-DOF arms: dual stigma-harvest arms, a bulb-stabilizing soft gripper arm, and a petal-removal arm synchronized with a conveyor for continuous processing.
Proposed vision and control: NVIDIA Jetson Orin Nano, Arducam Sony IMX477 cameras, multi-model saffron part detection, depth estimation, inverse kinematics for coordinated arm motion, shadowless lighting for stable imaging, and an integrated 7" HMI for calibration and system tuning.
Target performance: precise isolation of stigma, petals, and bulbs within a 25 cm workspace per arm, reduced manual labor for high-volume saffron farms, consistent extraction quality under controlled lighting, and optimized power envelope of 12V 30A for deployable, production-ready units.
The product is currently in the R&D stage.
Designed a compact indoor hydroponic system concept for apartments and restaurants to enable year-round, pesticide-free vegetable production with automated control of nutrients, lighting, and climate in a minimal footprint.
Tech: STM32 microcontroller (embedded C++), custom AC–DC regulation & protection circuitry, pH & TDS sensing, temperature & humidity monitoring, water pumps & aeration, fans & heaters, full-spectrum LED grow lighting, 15" touchscreen HMI, wireless data streaming for remote monitoring.
Expected Impact: Provide fully closed-loop environmental and nutrient control on standard 110–240V AC, targeting >90% reduction in manual intervention, stable crop yields independent of season, and reliable, on-demand local production for small spaces.
HYDROPOD - A MODERN HYRDROPONIC POD SYSTEM FOR URBAN APARTMENTS
HYDROPOD - A MODERN HYRDROPONIC POD SYSTEM FOR URBAN APARTMENTS
Above shown is the Rendered Image of the Concept
Designed and Developed a Hexacopter with a Day and Night Surveillance system with an inbuilt face detection system, which could be used for riot control and border surveillance. this drone includes 500g of weight carrying capacity making it able to carry pocket-size grenades and other equipment. the 40-minute flight time helps to maintain a steady flight for long-duration rescue missions.
DEVELOPMENT COST = $ 510
DEVELOPMENT DURATION = APR 2023 - AUG 2023
DAY AND NIGHT SURVILLENCE DRONE WITH FACIAL RECOGNITION
DAY AND NIGHT SURVILLENCE DRONE WITH FACIAL RECOGNITION
FPV (FIRST PERSON VIEW) DRONE BUILD
FPV (FIRST PERSON VIEW) DRONE BUILD
DEVELOPMENT COST = $ 300
DEVELOPMENT DURATION = AUG 2023 - AUG 2024
IMG_6938.mov
DESIGN OF SMART BULLETPROOF VEST WITH REAL-TIME HEALTH MONITORING AND CASUALTY ASSESSMENT (FEA)
DESIGN OF SMART BULLETPROOF VEST WITH REAL-TIME HEALTH MONITORING AND CASUALTY ASSESSMENT (FEA)
Integrating Force Sensors, Accelerometers, and Pulse Sensor to an ARM STM32F103C6 to transmit the real-time data of force being applied to suit and to measure the health of the Military Personnel.
DYNAMIC POWER LOSS MODELLING IN TRACKED VEHICLE SUSPENSION (MATLAB PROJECT)
DYNAMIC POWER LOSS MODELLING IN TRACKED VEHICLE SUSPENSION (MATLAB PROJECT)
Designed and simulated a control system in MATLAB to model power transmission losses in a tracked vehicle under dynamic suspension compression. Integrated PID control logic to maintain target power output, accounting for mechanical inefficiencies and terrain-induced suspension variations. Visualized system efficiency, compression behavior, and control responses through multi-plot analysis.
RESEARCH PAPERS
RESEARCH PAPERS
Battery RP.pdfIEEE T-IV
Digital Twin for Internal Safety Indicated Ultra-Fast Charging of Lithium-Ion Batteries.
Zaffra RP.pdfIEEE T-RO
Design and Conceptual Framework of an Automated Robotic System for Precision Saffron Stigma Harvesting
UGV Final Research Paper.pdfICCCNT 25
Design and Development of Autonomous Unmanned Ground Vehicle (UGV) for Enhanced Agricultural Efficiency
BBA Project Report_compressed.pdfRobotics-as-a-Service (RaaS): A Scalable Business Model for Smart Farming in Global Markets
222_1_Joel_V_George_16th_ICCCNT_2025.pdfJOEL V GEORGE - INTERSHIP REPORT (AMITY FILE).pdfDESIGN OF SMART BULLETPROOF VEST WITH REAL-TIME HEALTH MONITORING AND CASUALTY ASSESSMENT
ARTICLE
ARTICLE
jokadammanitta@gmail.com
jokadammanitta@gmail.com
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