UGOT Multi-Mimetic AI Educational Robot
- 7-in-1 Modular Robot Kit — Build 7 unique robot forms with a knob-lock modular design that enables fast assembly, reducing lesson prep time while maximising hands-on learning.
- High-Performance AI Computing — Quad-core Cortex-A55 processor (up to 1.8 GHz) integrated with GPU and NPU delivering 1 TOPS of on-device computing power for real-time AI tasks.
- ChatGPT & Conversational AI Ready — Natively connects with ChatGPT; paired with a 3-microphone array and 1W speaker to enable interactive voice AI experiments in the classroom.
- Multi-Platform Programming — Supports graphical block coding (uCode), Python (uPython), and is compatible with Micro:bit, Arduino, and Raspberry Pi for learners at every level.
- Comprehensive Sensor Suite — Equipped with 100MP RGB camera (720P), 3-axis accelerometer, gyroscope, geomagnetic sensor, and ToF sensor for rich computer vision and motion experiments.
- 2 GB RAM / 32 GB Storage, 2.5-Hour Runtime — LPDDR4 2 GB RAM, eMMC 32 GB ROM, 11.1V 2600 mAh lithium-ion battery, and dual-band Wi-Fi (2.4G/5.8G) for uninterrupted classroom sessions.
- Education Ecosystem & Competition-Ready — Backed by the UBTECH AI Education Platform, in-school and institution classroom support, and official Robotics Youth Challenge compatibility.
- Trusted dealerDirect manufacturer partnership
- Pan-India deliveryInsured shipping, all states
- Post-sale supportTraining + service included
What makes it work
UBTECH UGOT Multi-Mimetic AI Educational Robot
One Kit, Seven Robots, Unlimited Possibilities
The UBTECH UGOT is engineered for educational institutions that refuse to compromise between engagement and rigour. With a single kit, students build seven distinct robot configurations — from wheeled rovers to articulated joint-driven machines — all held together by an intuitive knob-lock modular system that takes seconds to reconfigure. No wasted lesson time. Pure innovation time.
Technical Specifications
| Processor | Quad-core Cortex-A55, up to 1.8 GHz + NPU 1 TOPS |
| RAM | 2 GB LPDDR4 |
| Storage | 32 GB eMMC |
| Wi-Fi | 2.4 GHz / 5.8 GHz dual-band, 802.11 a/b/g/n/ac |
| Bluetooth | 5.0 |
| Camera | 100 Megapixel RGB, 720P |
| Sensors | 3-axis accelerometer, 3-axis gyroscope, 3-axis geomagnetic sensor, ToF sensor |
| Actuators | 4× high-speed brushed DC servo motors (wheels), 8× brushed DC servo motors (joints) |
| Microphone | 3-microphone array |
| Speaker | 1 W |
| Battery | 11.1 V lithium-ion, 2600 mAh |
| Operating time | 2.5 hours |
| Max speed | 160 cm/s |
| Charging | 19 V – 1 A (P3.5 × 10 mm connector) |
| Interfaces | USB 2.0 × 1, USB 3.0 × 1, USB-C × 1, UGOT Connector × 6, 9PIN × 1, GPIO × 1 |
| Robot configurations | 7-in-1 modular knob-lock design |
| Compatible platforms | Micro:bit, Arduino, Raspberry Pi |
| Programming | uCode (graphical), uPython (Python), UGOT APP |
| AI integration | ChatGPT compatible, CPU + GPU + NPU chipset |
Real AI Hardware, Real AI Learning
UGOT houses an integrated CPU, GPU, and NPU chipset with 1 TOPS of neural processing power — the same class of technology found in professional AI edge devices. Students don’t just learn about AI theoretically; they deploy computer vision models, run real-time inference, and experiment with intelligent speech recognition on actual hardware. With ChatGPT connectivity built in, UGOT bridges physical robotics with cutting-edge large language models.
A Curriculum for Every Level
Whether a student is dragging blocks in uCode (graphical programming) or writing advanced Python scripts in uPython, UGOT scales with their growth. The open-source ecosystem supports Micro:bit, Arduino, and Raspberry Pi expansion, letting advanced learners push far beyond the standard curriculum. Three dedicated learning pillars — Robotics Kinematics, Computer Vision, and Intelligent Speech — give educators a structured path from beginner to advanced AI literacy.
Built for the Classroom, Designed for the Future
UGOT is deployed in in-school AI labs and institutional AI centres worldwide. The companion UGOT APP adds an edutainment layer — including first-person view (FPV) mode and PVP competitive play — keeping students motivated beyond standard coursework. Institutions can tap into full AI Education Platform for digital lesson management, curriculum resources, and student progress tracking.
Technical Specifications at a Glance
Quad-core Cortex-A55 @1.8 GHz · NPU 1 TOPS · 2 GB LPDDR4 RAM · 32 GB eMMC · 100MP 720P RGB Camera · ToF Sensor · 3-Mic Array · 12× DC Servo Motors · Dual-band Wi-Fi 802.11ac · Bluetooth 5.0 · 11.1V 2600 mAh Battery · Up to 160 cm/s · 2.5-hour runtime · USB 2.0 + USB 3.0 + USB-C interfaces.



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