Write plain Python
No ROS install, no Docker, no C++ build tangle. Open the editor in your browser and implement one focused function.
Robotics practice, in the browser
Learn robotics by making real sensor data move.
Robotics shouldn't require a $2,000 rig, a lab, and a PhD advisor before you write your first line. Solve real perception, SLAM and control problems in your browser — and watch your code drive a robot's view of the world.
- No install
- No ROS, no Docker on your machine
- Real ROS 2 data
- Ouster bags & Stanford Bunny
- 37 graded problems
- Across 6 robotics tracks
From blank editor to a robot's-eye view
Three steps. No setup.
Run it on real sensor data
Your code runs against actual recorded robot data — Ouster LiDAR bags and Stanford Bunny scans — inside an isolated sandbox.
Watch it move in 3D
Your filtered point cloud and your alignment render live in a real robotics viewer. Not a green checkmark — the actual geometry.
Why TakshaCode
Built to get you into robotics — not to weed you out.
See your code, not just a verdict
Every problem ends in a live 3D view. When your transform is wrong you watch the cloud drift away from the target — debugging you can actually see.
Real datasets, real tools
Ouster point clouds, ROS 2 bags, ICP on the Stanford Bunny. The same data and the same problems robotics teams work with every day.
Deterministic grading
The same submission produces the same verdict, every time. Your result is a fact about your code, not about the machine that ran it.
A taste of TakshaCode
Three problems you can watch yourself solve.
37 graded problems across 6 tracks — perception, SLAM, manipulation, control and ROS 2. Sign in to see the full library; start free, no card required.
Medium41% pass rate
ICP Bunny Alignment
Implement rigid ICP on a Stanford Bunny point-cloud subset.
Point CloudsSLAMRegistration
Hard37% pass rate
Visual Servo Step
Close the loop: perceive the error, move the arm, repeat.
Visual ServoingPerception HandoffManipulation
Medium61% pass rate
Occupancy Grid Ray Update
Fold one laser ray into a log-odds occupancy map.
Occupancy GridLog-OddsMapping
+34 more inside
The full library — free starter problems in every track, premium for the rest.
Explore the libraryFor teams
Hiring robotics engineers?
Stop screening robotics candidates with generic coding puzzles. Send a personalised TakshaCode assessment link: they solve a real perception, SLAM or manipulation problem in our sandboxed workspace, explain their approach in their own voice, and you get a graded report with their reasoning and solution analytics.
Your first robotics problem is one click away.
No download. No environment to configure. Just you, real sensor data, and a 3D view of your code working.
Start learning