TIER 01
Basic
5 robots
Hardware
- ARJUNA, 2D camera4× Jetson Nano
- ARJUNA, depth camera1× Jetson Nano Super
- Curriculum
- Full lab curriculum
- Training
- 4-day hands-on + YouTube videos
- Support
- Email + student chatbot
ROBOTICS EDUCATION INFRASTRUCTURE
Robotics labs that produce roboticists.
Complete Centre of Excellence setups — hardware, curriculum, faculty training and ongoing support.
Every Centre of Excellence
- Hardware
- Curriculum
- Faculty training
- Ongoing support
3,000+
students trained
10+
CoE labs
20+
institutions
4-day
hands-on onboarding
02 · THE FULL SCOPE
What an institution gets.
Hardware
AMRs, controllers, sensors, workstations and Smart Arena, specified to your lab's size and level.
Curriculum
A full lab curriculum aligned to ROS2 and real deployment workflows, not toy exercises.
Faculty training
Instructor enablement, so the lab runs without us.
4-day intensive onboarding
A hands-on programme at handover, for faculty and students together.
Student support
Chatbot and AI agent assistance for setup help and troubleshooting, plus technical support.
Warranty and documentation
One-year warranty on robots and controllers, user manuals and setup guides with every kit.
03 · LAB TIERS
Four lab configurations.
Every lab is specified around what your department teaches and how many students will use it. These are the starting points.
TIER 02
Standard
10 robots
Hardware
- ARJUNA, 2D camera5× Jetson Super/Orin
- ARJUNA, depth camera5× Jetson Nano Super/Orin
- Smart ArenaSmart platform to perform robot tasks with a web app controller1×
- Curriculum
- Advanced + AI/ML + ROS projects
- Training
- 4-day intensive
- Support
- Technical + student chatbot
Two advanced options — choose one
ADVANCED · OPTION A
Advanced: Robotics & Drones
10 robots
Hardware
- ARJUNA, 2D camera3× Jetson Nano
- ARJUNA, depth camera2× Jetson Nano Super
- BABHRU5×
- Smart ArenaSmart platform to perform robot tasks with a web app controller1×
- Swarm dronesStabilised outdoor autonomous swarm drones4×
- BRC IoT kitsMicrocontroller unit with Wi-Fi, Bluetooth and RF communication5×
- WorkstationsHigh-performance workstations for AI/ML work2×
- Six DOF armPi-based, ROS-enabled 6-DOF manipulator with camera1×
- Bambu Carbon X1Best-in-class FDM 3D printer1×
- Curriculum
- Advanced + AI/ML + ROS projects
- Training
- 4-day intensive programme
- Support
- Technical + AI agent
ADVANCED · OPTION B
Advanced: AMR Specialist
5 robots
Hardware
- ARJUNA, depth camera5× Jetson Nano Super/Orin
- Smart ArenaSmart platform to perform robot tasks with a web app controller1×
- BRC IoT kitsMicrocontroller unit with Wi-Fi, Bluetooth and RF communication5×
- WorkstationsHigh-performance workstations for AI/ML work2×
- Six DOF armPi-based, ROS-enabled 6-DOF manipulator with camera1×
- Bambu Carbon X1Best-in-class FDM 3D printer1×
- Curriculum
- Advanced + AI/ML + ROS projects
- Training
- 4-day intensive programme
- Support
- Technical + AI agent
All tiers include mecanum wheels, chargers, keyboards and mice, and USB microphones.
Lab equipment in the advanced tiers
Recommended configuration
High-Performance Workstation
Pre-configured for AI and AMR lab work.
- CPU
- Intel Core i9-14900K
- GPU
- NVIDIA GeForce RTX 5080
- RAM
- 128GB DDR5
- Storage
- 2TB NVMe PCIe Gen5 SSD
- Motherboard
- High-end Z790 chipset
- Cooling · PSU
- Liquid cooler · 1200W+
- Display
- 32-inch 4K UHD IPS monitor
- OS
- Ubuntu Linux, with the AI and AMR lab toolchain installed
Six DOF Robotic Arm
Tabletop, ROS-supported collaborative manipulator.
- Degrees of freedom
- 6
- Compute
- Broadcom BCM2711, 64-bit quad-core 1.5GHz · 2GB RAM
- Minimum turning radius
- 280mm
- Power input
- DC 12V 5A
- Video
- 2 × micro HDMI
- OS
- Ubuntu MATE 20.04
Bambu Carbon X1
Best-in-class FDM 3D printer.
- Build volume
- 256 × 256 × 256mm
- Printing speed
- Up to 500mm/s
- Max acceleration
- 20,000mm/s²
- Nozzle · filament
- 0.4mm · 1.75mm
- Materials
- PLA, PETG, TPU, ABS, ASA, PVA, PET; ideal for PA, PC and carbon / glass fibre-reinforced polymers
- Power
- 100–240 VAC, 50/60Hz
04 · CURRICULUM
A curriculum built on real robotics.
Structured tracks that move from fundamentals to deployment-grade work. Faculty can map these directly onto existing coursework.
- [SUPPLY]Module-level detail for this track
- [SUPPLY]Module-level detail for this track
- [SUPPLY]Module-level detail for this track
- [SUPPLY]Module-level detail for this track
- [SUPPLY]Module-level detail for this track
- [SUPPLY]Module-level detail for this track
- [SUPPLY]Module-level detail for this track
- [SUPPLY]Module-level detail for this track
- [SUPPLY]Module-level detail for this track
05 · STUDENT DESIGN PROJECTS
Students build. They don't just follow instructions.
Every lab runs on structured design projects: a problem statement, real design constraints, hardware and software requirements, testing criteria and defined deliverables.
- 1Design
- 2Build
- 3Test
- 4Debug
- 5Demonstrate
Example projects students can build
- 01Autonomous line-following delivery bot
- 02Smart security patrol robot with cloud alerts
- 03Warehouse item transporter with location tracking
- 04Environment-monitoring rover
- 05Voice-controlled robot
- 06Obstacle-mapping bot
- 07Energy-efficient navigation robot
- 08Swarm communication robots over Wi-Fi
06 · TRAINING PROGRAMMES
Training beyond the lab.
01
Institutional training
Programmes run on your campus for cohorts of students.
02
Faculty training
Instructor enablement on ROS2, AMRs and lab operation.
03
1-on-1 robotics education
Individual mentoring for students and professionals.
04
Workshops
Short intensive programmes on specific robotics topics.
The 4-day ARJUNA training
Delivered at handover, for faculty and students together. It covers:
- Autonomous Mobile Robots
- ROS
- LiDAR
- IMU and encoders
- Autonomous navigation
- SLAM
- Obstacle avoidance
- Computer vision
- Voice control
Programmes we have run
176 hrs delivered
- Robotics using the basics of ROSJSS Academy of Technical Education, Bengaluru · Two batches: Robotics & AI, and Electronics & Instrumentation30 hrs
- Short-term training on roboticsNitte Meenakshi Institute of Technology40 hrs
- ROS basics skill development programmeNitte Meenakshi Institute of Technology20 hrs
- Basics of OpenCVNitte Meenakshi Institute of Technology · Three batches, Electronics & Communication8 hrs
- Robotics using ESP32, and Basics of ROSREVA University · 25 hours each, Robotics & Automation25 hrs
- Basics of ROSVidyashilp University · Data Science25 hrs
- Robotics using ESP32M. S. Engineering College · Electronics & Communication20 hrs
- Basics of robotics using ESP32Bengaluru Institute of Technology · Robotics & AI8 hrs
Training expertise
- ROS
- ROS2
- AMR
- Autonomous vehicles
- Robotic manipulators
- Python and OpenCV
- SBCs and microcontrollers
- IoT
- Autonomous drones
07 · LMS
In developmentPilot running with institutional partners
An LMS that knows what your students actually built.
A deployment-aware robotics learning platform that adjusts learning progression based on simulation performance, hardware interaction and real deployment outcomes.
08 · WHERE OUR LABS ARE RUNNING
Ten Centres of Excellence and counting.
REVA University
RunningBMSCE
RunningVidyaShilp University
RunningNMIT
Running- Vidyashilp University
- Nitte Meenakshi Institute of Technology
- REVA University
- BMS College of Engineering
- Global Academy of Technology (in progress)
- JSS Academy of Technical Education (in progress)
- JNNCE, Shivamogga — academic deployment
- Soham Academy, Hyderabad — training and ecosystem partner
South India
In progressGlobal Academy of TechnologyJSS
See the labs in the gallery →09 · LAB PROPOSAL
Tell us about your lab.
Send us your department's requirements and we will put together a proposal. We respond within 48 working hours.
Prefer a document?
Take a lab proposal to your committee instead.
[SUPPLY]Lab proposal PDF