Darsh Jobanputra

AI & Robotics Enthusiast

[Mustafa @oprydai]

patterns in the lives of great people

if you study enough biographies, documentaries, interviews; you start to see repeating structures.
different lives, same architecture.

here’s the blueprint almost all great people share:

1. a period of intense isolation
they disappear for years.
you think they fell off; but that’s when they’re cooking.
deep work. obsession. long lonely nights.
they resurface with something that changes the game.

2. an early spark
some childhood moment that burns into their brain.
a teacher, a machine, a failure, a movie, a sound.
something that makes them go, “I want to understand this for the rest of my life.”

3. obsessive iteration
they don’t do something once.
they do it a thousand times.
till it’s muscle memory.
every great person has a graveyard of early failed attempts that nobody saw.

4. disrespect for convention
they question the “normal” way of doing things; not for rebellion, but for truth.
they can’t stand inefficiency or intellectual laziness.
they break systems, then rebuild them better.

5. suffering → transformation
some crisis humbles them; failure, rejection, loss, poverty.
instead of collapsing, they alchemize it.
turn pain into clarity, frustration into fuel.

6. relentless curiosity
they’re polymaths in disguise.
engineers who read philosophy. artists who study math.
they connect unrelated fields until a new pattern emerges.

7. uncompromising taste
they have a vision for how things should be.
and they refuse to release anything less than that.
this is what makes their work timeless.

8. strategic social connection
they find other rare minds.
not many; just enough to form an echo chamber of excellence.
together they compound genius.

9. asymmetrical focus
they focus on one thing so hard that it looks like madness.
but that singular focus opens doors others can’t even see.

10. legacy thinking
they eventually zoom out from their craft to humanity.
they start asking; “what does this mean for the world?”
that’s when they shift from “great at something” to “great, period.”

greatness isn’t random.
it’s a pattern; repeated through different people, in different centuries, under different names.

once you see it, you can’t unsee it.
and the question becomes:
which part of this pattern are you in right now?

[Mustafa @oprydai]

Robotics 101; a simple guide

robotics isn’t one subject. it’s a fusion of many.
to understand robots, you need to understand how nature, math, and logic come together to make things move with intent.

1. the 5 pillars of robotics:
‣ mechanical engineering → how to build the body. (motors, gears, frames)
‣ electronics → how to make it move. (sensors, circuits, microcontrollers)
‣ control systems → how to make it move precisely. (PID, feedback loops, stability)
‣ computer science → how to make it think. (algorithms, path planning, computer vision)
‣ AI & autonomy → how to make it adapt. (learning, decision-making, behavior)

2. how to start (the right way):
‣ learn embedded systems: start with Arduino, then STM32, ESP32, Raspberry Pi.
‣ learn control theory: understand PID, state-space, and feedback loops.
‣ learn math & physics: vectors, kinematics, dynamics, and forces.
‣ learn coding: python for algorithms, C++ for performance, ROS for integration.
‣ learn mechanics: CAD design, 3D printing, torque, joints, actuators.

3. projects to build:
‣ a line-following robot (fundamentals)
‣ a self-balancing bot (control theory)
‣ a robotic arm (kinematics)
‣ an autonomous drone or rover (AI + perception)

4. learn by building.
you can’t “read” your way into robotics. you build, break, debug, repeat.
every failure teaches more than 10 tutorials ever will.

5. the mindset:
robots are mechanical reflections of your thinking.
when your logic improves, your robots improve

[LeRobot @LeRobotHF]

🚀 Big update for LeRobot!

We've launched a new plugin system to support third-party hardware. Now you can integrate any robot, camera, or teleoperator with a simple 'pip install', no need to modify the core library.

This makes open robotics development more extensible, scalable, and community-friendly.

Learn how to create your own plugin: https://t.co/YcdsEHBJf7

[NVIDIA Robotics @NVIDIARobotics]

Why do people believe in humanoid robotics? 🤔

Hear from Yashraj Narang, head of NVIDIA's Seattle Robotics Lab, on why human-like forms matter for robots and how NVIDIA's full-stack approach makes them more adaptive for real-world use.

Listen to the podcast 🎧 https://t.co/quWbNYOYjJ

#NVIDIARobotics

[Mustafa @oprydai]

the best roadmap for learning robotics isn’t a secret, it’s just layered.

stack skills like you’d stack software.
basics → python, c++, linear algebra, calculus, physics
core robotics → ros, gazebo, kinematics, dynamics
control → pid, mpc, adaptive control. how to keep robots stable
perception → vision, lidar, sensor fusion. how robots see
planning → motion planning, slam, trajectory optimization
ai → deep learning, rl, foundation models for robotics
hardware → microcontrollers, actuators, sensors, embedded systems
integration → the messy part. making all of it actually work together

don’t chase everything at once.
learn each layer just enough, then build.

the real roadmap is iteration:
theory → prototype → mistake → repeat.

[Mustafa @oprydai]

most people overthink “where do i start in robotics?”

truth is, you can just start.

start with software:
install ubuntu (22.04) → robotics lives on linux
learn python + c++ → the two main languages
get ros2 running → the backbone of real robots
play in sims (gazebo, pybullet, webots) → crash for free
learn basic control → pid loops, sensors, state estimation

you don’t need a robotic arm in your room.
you need curiosity + a laptop.

robots aren’t gatekept. you can enter today

[Darsh Jobanputra @DarshJobanputra]

@localhostIND Of course we want to see the demos!!

[Darsh Jobanputra @DarshJobanputra]

@this_is_surabhi @localhostIND @suhasasumukh @KechoHayashi Is it built on ROS2??

[Darsh Jobanputra @DarshJobanputra]

🌟 Surrounding Yourself Wisely: Surrounding yourself with ambitious and intelligent people can elevate your trajectory. Building a network of mentors and like-minded peers can provide invaluable support and insight.

[Darsh Jobanputra @DarshJobanputra]

Elon Musk’s biography by Walter Issacson reveals his unique productivity strategies and principles:

[Darsh Jobanputra @DarshJobanputra]

📚 Life-long Learning: Musk reads a lot of different books which gives him ideas and helps him think creatively. The Hitchhiker's Guide to the Galaxy was his fav childhood sci-fi book that gave him the idea of humans being a multiplanetary species (mission Mars of @SpaceX ).

[Darsh Jobanputra @DarshJobanputra]

@joemeno What was it running on prior to Gazebo?

[Darsh Jobanputra @DarshJobanputra]

Just earned the Gold Badge for C on HackerRank! https://t.co/t6ru84VUNN

[Darsh Jobanputra @DarshJobanputra]

Starting with @cs50 's 2021 edition today onwards, and going to practice #Touchtyping everyday henceforth. Starting with my "OFFICIAL" Robotics Journey from today i.e. 22nd October, 2021. Anybody else doing the same? HMU! 😁😇

[Red Hat @RedHat]

Just *how* human do we want robots to look? #CommandLinePod investigates our impulse to build robots in our image—and what effects that has on the field of robotics. https://t.co/jvoFhJYFwH