Forging Future Roboticists
Learn Robotics, AI, ROS2, Computer Vision, and Autonomous Systems through real hardware, industry mentors, and hands-on projects — not just slides.
500+
Students Trained
20+
University Partners
12
Expert Mentors
100%
Hands-on Learning
What We Teach
Four pillars, fundamentals to deployment
Four pillars that take you from fundamentals to deploying intelligent machines in real industry environments.
Robotics
Master the physical foundation of intelligent machines — robotic arm anatomy, actuators, end-effectors, sensors, kinematics, Jacobians, and trajectory planning — applied on Orangewood's 6-DOF collaborative robotic arms.
AI & Agents
Go beyond chatbots. Learn how LLMs control physical robots through platforms like Orangewood's RoboGPT — AI agent frameworks, tool use, multi-agent orchestration, and LLM-driven motion planning on real hardware.
Computer Vision
Teach machines to see. Master OpenCV and MediaPipe, real-time object detection, pose estimation, SLAM, depth sensing, and visual servoing — perception pipelines that run on edge devices and feed live data into robots.
Autonomous Systems
Bring it all together. Learn ROS2 from the ground up — nodes, topics, services, transforms, URDF. Simulate in Gazebo, plan motion with MoveIt, fuse sensor data, and deploy full-stack autonomous systems.
Learning Path
A structured four-level journey
From programming fundamentals to deploying Physical AI in real industry environments. Each level builds on the last — no gaps, no guesswork.
Level 1
Foundations: Programming & Tools
Every roboticist starts here. Master Python for robotics — control loops, data handling, and hardware interfacing. Get comfortable in Linux, learn Git and version control. No prior experience needed.
Level 2
Robotics Core: ROS2 & Simulation
Enter the industry-standard framework. Learn ROS2 fundamentals — nodes, topics, services, TF2. Model robots with URDF, simulate in Gazebo, visualize in RViz, and command real robot joints with MoveIt.
Level 3
AI Systems: Vision & Intelligence
Give your robot a brain. Implement computer vision with OpenCV and MediaPipe, deploy object detection, and implement SLAM. Then layer on AI motion planning, LLM-driven control, and Orangewood's RoboGPT platform.
Level 4
Deployment: Industry-Ready
The final forge. Apply everything to a real industry problem on real hardware in Orangewood's lab. Build and deploy a Physical AI system end-to-end and present your capstone to professional engineers.
Why RoboFoundry
Not another video course
We put real robots in your hands and active industry engineers at your side. Here's what makes us different.
Hands-on Learning
Theory without practice is trivia. Every concept is immediately applied on real hardware — Orangewood's industrial robotic arms, real sensors, real edge computers. If you can't demo it, you haven't learned it.
Industry Mentors
Our mentors aren't career academics. They're engineers actively building robots today — at Orangewood Labs (YC W18), Volvo Cars, AstroRobotics, and beyond. One-on-one doubt sessions, code reviews, and career guidance.
Real Robots
Most courses end at simulation. Ours goes further — you work directly with Orangewood's 6-DOF collaborative arms, industry-grade sensors, vision systems, and the RoboGPT AI platform deployed in actual factories.
Open Source Projects
Everything you build lives on GitHub. Our students have published kinematics libraries, Gazebo simulation environments, and ROS2 packages used by the wider community. Your portfolio is working code recruiters can run.
Career Focused
Every program is designed backwards from employability. Earn an internship certificate from a YC-backed company, get engineer recommendations, direct referrals, and a demo day in front of hiring companies.
Featured Projects
Building is the curriculum
Every program ends with a real project. Here's a sample of what our students and teams have shipped.
Pick & Place Robot
A fully autonomous pick-and-place system on an Orangewood arm — OpenCV object detection, custom MoveIt trajectory planning, and grip control, tested on a simulated warehouse conveyor line.
AI Vision System
A real-time object classification and 6D pose estimation pipeline using MediaPipe and a custom-trained YOLO model. Runs on-edge with sub-50ms latency on a Jetson Nano.
Warehouse Robot
A complete warehouse navigation and retrieval agent — SLAM-based mapping, autonomous path planning with Nav2, obstacle avoidance, and a collaborative arm for item pick-up.
RoboGPT Demo
Natural-language robot control on Orangewood's RoboGPT platform. Describe a task in plain English and the LLM agent interprets intent, generates a motion sequence, and executes it on a real arm.
Physical AI Projects
Student capstones deploying trained AI models on physical systems — quality inspection arms, autonomous delivery bots, gesture-controlled manipulators, and vision-guided sorting systems.
Open-Source Contributions
Students contribute back: Python libraries for forward kinematics, Jacobian computation, and inverse kinematics for n-DOF robots, plus Gazebo environments and ROS2 packages — all on GitHub.
Trusted by universities and built with industry
We've delivered programs and workshops at leading institutions across India, with curricula co-designed by engineers from YC-backed robotics companies and global automotive leaders.
Programs
PROGRAMS
From semester-long credit courses to intensive 3-week sprints. Two audiences, one mission: get you doing real robotics with real engineers.
Year-Long Semester Courses
Credit-based programs with hands-on robotics, AI, and automation training, fully aligned to university curricula. Includes faculty coordination, lab setup guidance, assessments, and outcome reports.
Comprehensive Workshops & In-Depth Training
Intensive training programs bringing academia and industry together. Students move from fundamentals to building complete robotic systems — weekly hands-on labs, real hardware access, mentor check-ins, and a final project.
Value-Added Courses, Placement & Faculty Training
Specialized courses available for university credit, focused on employability. Includes placement-oriented training, resume and portfolio building, mock technical interviews, and dedicated faculty training programs.
Summer Robotics Program
India's most hands-on robotics summer program — powered by Orangewood Labs (YC W18). 3 weeks. Real hardware. Real engineers. A certificate that means something.
For undergraduate (B.Tech, B.E., B.Sc.), postgraduate (M.Tech, M.Sc., MBA), and working professionals in any field.
What you walk away with
- Internship certificate from Orangewood Labs (YC-backed)
- Real industry project on your portfolio — built on actual hardware
- Engineer recommendations for internship and job applications
- Direct referrals to hardware companies in Orangewood's network
- Lifetime access to the alumni community
₹5,000 all-inclusive · 3 weeks · Hybrid (online + Noida office hardware days) · Starts June 1, 2026
Summer Robotics Program
Beginner-friendly, expert-managed. No prior coding or robotics experience needed — just curiosity. For Grades 8–12, any stream.
For high school students in Grades 8–12, any stream. No prior coding or robotics experience needed.
What you walk away with
- Fully managed by experts — parents just sign up
- Real company visit to Orangewood Labs, not a school lab
- Work alongside professional engineers, not just teachers
- Certificate from a YC-backed, internationally recognized company
- The spark that turns curiosity into a future career
₹5,000 all-inclusive · 3 weeks · Grades 8–12, any stream · Hybrid (online + one office visit day) · Starts June 1, 2026
Workshops
Standalone, bookable, flexible
Bookable as one-day intensives or multi-week programs. Delivered on-campus, at your office, or hybrid.
University
AI for Engineers
Bridge academic AI theory and real-world application — ML fundamentals, neural networks, computer vision basics, and how AI integrates with robotic systems, with live robot demos.
1 day–3 months · Engineering students, all branches
Introduction to Robotics
The perfect first exposure. What is a robot, types of robots, how robots move, sensors and actuators, robotic arm anatomy, and basic Python control — capped with a live demo on Orangewood's arms.
1–2 days · Freshers, beginners
ROS2 Workshop
The industry-standard framework, hands-on. ROS2 fundamentals plus TF2 transforms, URDF modeling, Gazebo simulation, RViz, and MoveIt motion planning. Leave with a working ROS2 project.
2 days intensive · Basic Python · Prereq: Level 1
Computer Vision Workshop
From pixels to perception. OpenCV fundamentals, MediaPipe, real-time object detection, SLAM concepts, depth sensing, and visual servoing demonstrated on a live robotic arm.
1 day · Students with Python basics
Corporate
AI Agents
LLMs meet the real world. Train your team on AI agent frameworks, tool use and function calling, multi-agent orchestration, LLM-driven control (including RoboGPT), and pipeline integration.
1–3 days · On-site available · Software & automation teams
Industrial AI
AI applied to the factory floor — quality inspection, predictive maintenance, anomaly detection, and sensor fusion. Custom curriculum built around your actual production data and equipment.
3–5 days · Custom scoping · Manufacturing & ops engineering
Robotics Automation
From cobot safety standards to full ROS2-based automation pipelines. Your engineers program pick-and-place routines, integrate robots into production line logic, and learn deployment best practices.
2–4 days · Industrial engineering & automation teams
Our Mentors
Engineers building robots today
Not career academics — active engineers from Orangewood Labs, Volvo Cars, and AstroRobotics who do the exact job you're training for.
Aditya Bhatia
Co-Founder & CPO, Orangewood Labs (YC W18)
M.Des Industrial Design from NID · B.Tech Mechanical from MDU. Co-built Orangewood from a basement startup into a YC-backed AI robotics company. Leads product and RoboGPT development.
Vishisht Dhingra
AD & ADAS System Design Engineer, Volvo Cars
Ex-Bosch USA · Ex-FCA. M.S. Automotive Systems Engineering, University of Michigan. Expert in advanced driver-assistance systems, vehicle dynamics, and autonomous system architecture.
Yuvraj Mehta
Robotics Software Engineer, Orangewood Labs
B.Tech from NIT Jalandhar. Specializes in ROS, SLAM, computer vision (OpenCV, MediaPipe), and robot simulation in Gazebo.
Rudranil Bose
Robotics Software Engineer, Orangewood Labs
Full-stack robotics software engineer working on the core platform powering AI-driven collaborative robotic arms and the RoboGPT platform.
Jiya Nagpal
Robotics Engineer, Orangewood Labs
Works on robotics automation and deployment. Passionate about making robotics accessible through hands-on teaching and real-world project exposure.
Pushkar Shinde
Robotics Software Engineer, AstroRobotics.io
Built Python libraries for forward kinematics, Jacobian, and IK for n-DOF robots. Experience with Kuka iiwa arm control, trajectory planning, and gravity compensation via the Recursive Newton-Euler Algorithm.
Testimonials
"The instructor was knowledgeable and approachable, answering questions effectively and providing relevant examples. It was helpful to have one-on-one support when working through more complex aspects of ROS and troubleshooting code."
- Dr. Kumud Tiwari — Researcher · Program graduate
Community
More than a course
RoboFoundry is a growing community of engineers, students, and robotics enthusiasts building together.
Discord
Our 24/7 home base. Ask questions, get code help, showcase projects, find teammates, and stay connected with mentors and alumni. Channels for ROS2, computer vision, hardware, and careers.
Meetups
In-person and hybrid meetups in Noida, Delhi NCR, and partner university cities. Live robot demos, lightning talks from working engineers, and genuine networking.
Hackathons
48-hour robotics hackathons with real hardware access, problem statements from industry, prize money, and direct visibility to hiring companies for the top teams.
Challenges
Monthly open-ended challenges: vision tasks, control problems, simulation puzzles, and creative builds. The best solutions get featured by our mentors.
Open Source
Contribute to community-maintained ROS2 packages, kinematics libraries, and Gazebo environments under the RoboFoundry GitHub organization. Maintainership for active contributors.
