India's Compliance‑Ready AI & Robotics Lab Network for Schools
Deploy sandboxed AI coding environments, NEP-mapped curriculum, and teacher training mapped to CBSE and state-board requirements — built to the National Education Policy 2020 direction for computational thinking from Grade 6 onward.
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One Network, Every NEP Requirement
A unified infrastructure layer connecting sandboxes, curriculum, and certification into a single compliance-ready deployment.
Cloud Sandboxes
Isolated, low-bandwidth AI/robotics environments deployable in rural and urban classrooms alike.
NEP Curriculum Maps
Grade-wise modules mapped directly to the National Curriculum Framework for School Education (NCF-SE) 2023 computational thinking outcomes.
Teacher Certification
Standardised training tracks for facilitators, built around classroom practice, lab safety and evidence. The certification scheme is in development.
Compliance Reporting
Auto-generated audit trails for trust boards and state education departments.
From Curiosity to Intelligent Systems
One coherent learner pathway. Six connected domains. Skills that deepen at every stage.
Clear Progression Across Four School Stages
Foundation
Explore patterns and cause and effect through hands-on discovery.
Balvatika 1–3 & Grades 1–2Preparatory
Build first algorithms and working prototypes.
Grades 3–5Middle
Model, code and automate real systems.
Grades 6–8Secondary
Optimise, deploy and innovate as systems builders.
Want the class-by-class CBSE, Kerala & Tamil Nadu mapping?
R2A Academy publishes the sourced, subject-by-subject curriculum research behind this framework — grade-wise board comparisons with cited official sources.
Or skip ahead and register your school.
Certification Built on Classroom Practice
Every AI2N-certified facilitator completes a structured pathway covering pedagogy, sandbox operations and student safety, assessed in a real classroom. The scheme is in development and is a RobotSpace.ai programme certification — not a government, NCTE, CBSE or board qualification.
- Blended self-study and instructor-led training
- Practical sandbox proctoring exam
- Periodic re-certification, with terms under review
- A certificate a school can verify with us
Certification Levels
Every Module Passes the Same Seven-Asset Review
Before a module reaches your classroom, the RobotSpace.ai Academic Architecture Review Board (RAARB) checks all seven pieces it ships with — textbook, learner workbook, worked solutions, teacher guide, project brief, continuous assessment and capstone — against schema validation, editorial review, and a test that each one works on the AI2N.ai platform and in the autobotlabs.ai sandbox. If any one of the seven fails, the module is not released to schools.
This is the platform-wide view of the same board R2A Academy describes from the classroom side — see the integrity lenses and per-asset review criteria on R2A Academy.
How the Seven Fit Together
Four stages that carry a class from the first concept to a capstone the student can show an employer.
Stage 01
Theory & Practice
The concepts, the vocabulary and the pages students work through.
Stage 02
Evaluation
Worked answers for the teacher, quizzes for the class, and marks that show who needs help.
Stage 03
Teacher Support
What a teacher needs to run the lesson — including when something goes wrong.
Stage 04
Capstone & Credential
The final project, how it is marked, and the credential it earns.
What Ships With Every Module
Seven assets. Every one reviewed before the module reaches your classroom.
Asset 1
Core Textbook Content
The concepts, diagrams and reading a student works from.
Chapters are mapped to CBSE CT & AI milestones and NEP 2020 outcomes, so your head of department can see which syllabus point each one answers. Robot schematics, the physics behind them, and the vocabulary students are expected to use come with it.
Asset 2
Learner Workbook
The pages students actually work through.
Logic tracing grids, pseudo-code blocks, coordinate charts and sensor-threshold calculations. Every page works on screen and on paper, so a class can carry on when the connection drops.
Asset 3
Solutions Workbook
Worked answers, for the teacher.
Every workbook page completed, with the visual-block and Python solutions side by side. A teacher who is new to robotics can see the expected answer before the lesson rather than during it.
Asset 4
Teacher Guide
How to run the lesson, minute by minute.
Pacing for a standard period, analogies that land with the age group, the vocabulary to introduce, and a troubleshooting table for when a robot does something nobody expected.
Asset 5
Project Guidelines
The project brief, and the limits it runs inside.
Connects what students write to the autobotlabs.ai simulation, and sets limits that stop a runaway program tying up a machine the next class needs.
Asset 6
Continuous Assessment Suite
A short check at the end of each stage.
Five-question quizzes and syntax challenges inside the platform, marked automatically. The teacher sees who is falling behind while there is still time to do something about it.
Asset 7
Final Assessment & Capstone Rubric
The final project, and how it is marked.
A mission brief, a presentation the student defends, and a code review against the 100-mark matrix below. Passing earns a RobotSpace.ai credential the student can share and an employer can check.
Why the Project Brief Gets Its Own Standard
Project work is where a robotics programme usually comes apart in a real school: the computers differ, the connection is slow, students find ways to break things, and marking turns subjective. Every project brief answers all four the same way, in every school on the network.
01 · Everyone starts from the same setup
The brief names the exact autobotlabs.ai environment, the robot and the sensors available, so no student is solving a different problem from the one next to them.
02 · It runs on the computers you have
How to put the sandbox on a Smart TV or projector for the class to follow, and the settings that keep it usable on entry-level school machines and a slow connection.
03 · A student cannot break the lab
Every loop a student writes has to pause briefly on each pass, so a runaway program cannot lock up a machine the next class needs. The brief also says plainly what counts as a failed run — scraping along a wall, or driving off the map.
04 · The same marks everywhere
One 100-mark matrix for every project in every school, covering what the robot did, how the code reads, how it uses its sensors and how efficiently it runs.
Project Evaluation Breakdown
The same 100 marks for every capstone, so a result from one classroom means the same thing in another.
The robot completes the mission without collisions.
Readable logic, sensible use of loops, no padding.
The robot reacts to what it senses rather than running on timers.
An efficient path, and code that runs quickly.
Every module your school receives has been through this review
Register your institution for a pilot and we will walk your team through a reviewed module end to end — textbook, teacher guide, project brief and capstone.
R2A Academy publishes this same RAARB framework from the classroom side
Integrity lenses, per-asset review criteria, and the full code-efficiency rubric behind the 100-mark grading matrix above.
Register Your School Trust for a Pilot
Onboard your institution to an AI and robotics network built to the NEP 2020 framework. Our team responds within 2 business days.