May 2026 – Jul 2026
Robotics R&D Systems Intern · Kawasaki Robotics India
Worked on industrial robotics R&D with a focus on vision-based applications, system integration, and software development for robotic systems.
Mechatronics · Robotics · Intelligent Systems
Rutuparna
Kulkarni
I build intelligent machines by connecting mechanics, control, perception and software.
Mechatronics & Automation engineer working across mechanical design, embedded systems, robotics, computer vision, and intelligent control. My focus is system integration — making individual technologies work together as reliable machines.
Experience
Robotics R&D Systems Intern
Kawasaki Robotics India · 2026
Leading
Mechanical & Design Head
Dreadnought Robotics · Present
Experience
Robotics R&D Systems Intern
Kawasaki Robotics India · 2026
Leading
Mechanical & Design Head
Dreadnought Robotics · Present
Skills
Technical Toolkit
A full-stack mechatronics and robotics toolkit spanning mechanical design, control, robotics, perception, and intelligent systems.
SolidWorks
ANSYS / FEA
DFM
Mechanism Design
MATLAB / Simulink
PID / LQR / MPC
State Estimation
C++20
ROS 2
Gazebo / MuJoCo
CMake / Eigen
OpenCV
Open3D / 3D Perception
Sensor Fusion / SLAM
Python
PyTorch
RL / Robot Learning
Sim2Real / CUDA
How I Build
ORBIT
A practical loop for turning uncertain ideas into tested engineering systems.
01
Outline
Define the system, constraints, and the real problem.
02
Research
Understand the science, tools, and prior work before building.
03
Build
Turn the model into hardware, software, or a working prototype.
04
Iterate
Test against reality, find failure modes, and refine the system.
05
Transform
Integrate what works into a more capable and reliable system.
System Profile
Engineering Across the Stack
I work across the physical and computational layers of intelligent robotic systems — from mechanisms and embedded hardware to control, perception, and robot intelligence.
Click a discipline to explore related engineering work
CAPSTONE PROJECTS
Integrating disciplines for innovative solutions
Autonomous Underwater Vehicle (AUV) – Concept Design & Simulation
Designed a modular AUV including hull CAD, propulsion layout, and system-level control architecture. Performed hydrodynamic CFD analysis and defined a ROS 2–based simulation roadmap for validating navigation and stability prior to prototyping.
AUVCADCFDROS 2Hydrodynamics
Aranyaksha – Biomimetic Ornithopter
Designed a biomimetic flapping-wing ornithopter for silent wildlife surveillance, focusing on mechanism design, kinematic analysis, and overall system integration. Project paused at design stage pending prototype resources.
BiomimicryMechanism DesignKinematicsAerial Robotics
Techfest “Cosmoclench” Robotics Project
Built and deployed a competitive robotics system for a national-level techfest. Contributed to mechanical design, system integration, and control implementation under strict competition constraints.
RoboticsMechanical DesignControlsCompetition
Professional Journey
Engineering in Practice
From hands-on mechanical design to robotics R&D, each stage has expanded the systems I can design, integrate, and build.
2025 – Present
Mechanical & Design Head · Dreadnought Robotics
Leading mechanical architecture and system integration for an autonomous underwater vehicle, coordinating design decisions across the team's multidisciplinary development.
2025
Mechanical & Design Lead · Dreadnought Robotics
Led mechanical subsystem development for the AUV, contributing to design, fabrication, testing, and integration of the vehicle.
2024
Mechanical & Design Junior · Dreadnought Robotics
Built practical experience in mechanical design, fabrication, and subsystem development while contributing to the team's underwater robotics platform.
2023
Associate Treasurer · Rotaract Club of VITC
Managed budgeting, finances, and fundraising while supporting the execution of student-led community initiatives.
Research
Research & Publications
Research at the intersection of intelligent systems, robotics, and emerging technologies.
2026Elsevier
An Augmented Reality Enabled Mobile Decision Support System for Intelligent Crop Recommendation and Yield Estimation
Results in Engineering
A research-driven mobile decision support system integrating augmented reality, intelligent crop recommendation, and yield estimation to support data-driven agricultural decision making.
Augmented RealityDecision Support SystemsMachine LearningAgriculture
View Publication Intellectual Property
Patents & Intellectual Property
Translating engineering ideas into protectable innovations.
2026Filed
Patent Application — Robotics / Intelligent Systems
Patent work focused on the development of an innovative engineering system and its application in intelligent robotic systems.
Milestones
Achievements
Milestones across international robotics, engineering, innovation, and technical competitions.
2026
SAUVC 2026
Sanya, China
Qualified for the Singapore AUV Challenge (SAUVC) as part of Dreadnought Robotics with an autonomous underwater vehicle.
2026
Innovation Award
IEEE Oceanic Engineering Conference — Sanya, China
Received the Innovation Award for Dreadnought Robotics' underwater robotics work and innovative engineering approach.
2026
TAU Autonomy Competition
Stavanger, Norway
Qualified for the international autonomous systems competition as part of Dreadnought Robotics.
2025
Techfest — IIT Bombay
National Technical Competition
Participated in national-level technical and robotics challenges, contributing to rapid prototyping, mechanical design, and system integration.
2025
Smart India Hackathon
National Innovation Challenge
Participated in the national-level innovation challenge, contributing to technical problem-solving and prototype development.
Field Notes
Thinking Beyond the Build
Ideas, reflections, and technical explorations across robotics, AI, and intelligent systems.
Let's Connect
Building something in robotics, intelligent systems, automation, or mechatronics? I am always open to thoughtful technical conversations and meaningful collaborations.
Start a Conversation
Response Time
I aim to respond within 24–48 hours. For technical or collaboration requests, a little context about the problem is always helpful.