Hi, I'm Mayur, founder & CEO of CloudBee Robotics, an RWTH Aachen spin-off building a hardware- and model-agnostic platform for agentic physical AI.
Before CloudBee, I spent 5+ years in autonomous driving and robotics R&D at Tata Motors, Siemens, FEV and early-stage startups, working on perception, 3D vision, controls and world models. I've also run bootcamps on AI/ML, computer vision and autonomous driving, and I host a physical AI community of 1,000+ engineers.
On this channel, I explain how robots and autonomous systems actually work, including robot foundation models, world models, perception and control. I also share what I'm learning while building a robotics startup.
If you're into robotics, autonomous vehicles or physical AI, subscribe and learn along with me.
Engineer by profession, poet by heart. Let's share, learn and grow together :)
Embodied AI with Mayur
🚀 50% Launch Discount — KnowGraph's Courses!
Get a premium access to the courses taught by other industry experts and me.
Breaking into Autonomous Driving? Here's your roadmap 👇
🎓 Recorded, self-paced, project-driven courses:
1️⃣ ADAS & Autonomous Driving — ₹9,999 (was ₹19,999) 2️⃣ Motion Prediction & Planning — ₹4,999 (was ₹9,999) 3️⃣ Modern Vehicle Controls — ₹4,999 (was ₹9,999) 4️⃣ AI for Autonomous Systems — ₹4,999 (was ₹9,999)
Built for mechanical, automotive, robotics & AI engineers. Real projects. Industry depth.
🔗 Enrol here: lnkd.in/euCT5nPE
Comment INTERESTED if you want help choosing the right course! — Mayur Waghchoure
Contact me on whatsapp at +918830579377
5 months ago |[YT] | 0
View 0 replies
Embodied AI with Mayur
This week, we’re wrapping up the first batch of 23 engineers from our Vehicle Control and ADAS bootcamps.
One thing was consistent across the cohort:
most engineers hit the same wall early in autonomous driving.
You learn algorithms…
but real systems demand vehicle dynamics, control design, validation, and safety-aware workflows.
That’s exactly what we focus on with the KnowGraph courses—now available as self-paced programs, built for engineers who want to move closer to production-level autonomous systems.
⚙️ Modern Vehicle Control — PID → LQR → MPC
Vehicle-dynamics–driven control, taught the way it’s used in real ADAS features.
You’ll build:
ACC using PID (longitudinal dynamics & tuning)
ESC using LQR (lateral dynamics, yaw control, state estimation)
MPC-based trajectory tracking (constraints & optimal control)
PID → LQR → MPC are taught as one connected control framework, not isolated topics.
🚗 Autonomous Driving & ADAS Course
End-to-end ADAS engineering—from ML and perception to control and functional safety.
Includes 5 projects + a full capstone:
ML-based AEB
CNN traffic sign classification
4D Perception
RL-based vehicle control
Rule-based planning & control
Capstone: Full ADAS feature via Model-Based Design / V-Model
(Requirements → Architecture → Control → MIL/SIL in Simulink)
We also offer AI and Motion Prediction & Planning courses.
🔗 Courses (self-paced):
knowgraph-website.vercel.app/courses
🎥 Free intro lectures:
ADAS → https://youtu.be/wmLTpULs774
Motion Planning → https://youtu.be/oZHwFG1BAgE
If you’re interested, comment “Interested” or DM me — sharing early-enrollment discounts for a limited time.
Built for engineers who want to build real systems, not just demos.
8 months ago |[YT] | 0
View 0 replies