TonyPi Pro Humanoid · Authorised India distributor

TonyPi Pro. Say it. Watch it move.

A 20-DOF humanoid robot built on a Raspberry Pi 5 with a dedicated MCU for real-time servo control, 18 high-voltage bus servos, a 2-DOF head with an HD camera, and robotic hands with a 66 mm grip. Fluent in Python, OpenCV and ChatGPT multimodal AI — the little humanoid that turns “kick the red ball” into an actual physical action.

Buy now Request a quote Specifications India₹ 1,24,900 excl. GST
20
Degrees of freedom
18
Bus servos
Pi 5
Raspberry Pi 5 (2 GB)
2
Controllers (Pi + MCU)
66 mm
Robotic-hand grip
LLM
ChatGPT multimodal
Why TonyPi Pro

Semantic understanding, physical execution.

Most educational humanoids ship a hard-coded “wave” and call it AI. TonyPi Pro talks to a real ChatGPT-class multimodal model, listens for a wake word, sees objects through a 2-DOF pan-tilt head, and executes hand-eye pick-and-place, ball kicking, stair climbing and gesture recognition — from the same natural-language sentence.

TonyPi Pro Raspberry Pi 5 (2GB) + dedicated MCU dual-controller architecture
Dual-controller brain

Raspberry Pi 5 for AI. Dedicated MCU for gait. No stutters.

Vision, voice, ChatGPT, MediaPipe and OpenCV run on the Raspberry Pi 5. Gait control, servo bus, joint updates — every millisecond of it — runs on a dedicated high-frequency MCU. Two brains, two workloads. The robot can chase a ball while listening to your next voice command without a hitch.

Raspberry Pi 5 · 2 GBDedicated MCUReal-time gait2-DOF head
TonyPi Pro 20-DOF humanoid — 18 bus servos, 2-DOF head, robotic hands with 66mm grip
Mechanical

20 DOF. 18 bus servos. Robotic hands with a 66 mm grip.

Eighteen high-voltage intelligent serial-bus servos drive the body, plus a 2-DOF pan-tilt head and expandable 2-DOF robotic hands with a 66 mm open-close grip — big enough to grasp a golf ball, a small block or a Rubik’s cube. Anti-stall protection prevents servo damage during collision or overload. Real-time voltage display right on the robot.

20 DOF total18 body servos2-DOF head66 mm gripAnti-stall
TonyPi Pro capabilities — stair climbing, hand-eye pick and place, ball kicking, hurdle crossing
Physical intelligence

Stair climbing. Hand-eye pick & place. Ball kicking. Hurdles.

OpenCV contour detection lets TonyPi Pro see stair edges and climb them autonomously. Hand-eye coordination lets it identify an object, walk to it and pick it up. LLM semantic targeting plus PID vision tracking makes ball-kicking a real skill, not a demo. Hurdle crossing and line-patrol modes are pre-tuned. IMU keeps posture stable through all of it.

Stair climbingPick & placeBall kickHurdle crossLine patrolIMU balance
TonyPi Pro AI stack — ChatGPT multimodal, OpenCV, MediaPipe, voice interaction
Multimodal AI

ChatGPT + OpenCV + voice — the humanoid that understands what you mean.

Ship it with your OpenAI or OpenRouter key. Wake-word voice input, TTS response, and a ChatGPT-class multimodal model turn a spoken instruction into a Python action plan the robot actually executes. OpenCV, MediaPipe body / gesture recognition, PID target tracking — all pre-installed. Open Python source. No black boxes.

ChatGPT multimodalOpenRouter VLMWake wordTTSOpenCVMediaPipe
Gallery

Every angle.

Body, hardware, control, design — six product-photography views.

Specifications

TonyPi Pro · Raspberry Pi 5 (2 GB).

Full mechanical, electrical, sensor and software configuration — every detail of the shipping kit.

Category
Specification
Compute & software
AI controller
Raspberry Pi 5 · 2 GB RAM · quad-core Arm Cortex-A76 · VideoCore VII GPU
Gait controller
Dedicated high-frequency MCU for real-time servo bus control
Operating system
Raspberry Pi OS (64-bit) · Python pre-configured
Programming
Python · open-source, annotated · inverse-kinematics source included
Vision stack
OpenCV · MediaPipe · PID target tracking · geometric contour detection
LLM & voice
ChatGPT multimodal · OpenRouter VLM · wake-word voice input · TTS response
Ready-to-run tasks
Autonomous stair climb · hand-eye pick & place · ball kick · hurdle cross · line patrol · face & gesture
Mechanical
Configuration
20 DOF total · 18 body servos + 2-DOF head + 2-DOF robotic hands
Servos
18 × high-voltage intelligent serial-bus servos · anti-stall protection
Robotic hands
Expandable open-close design · 66 mm max grip
Head
2-DOF pan / tilt · HD wide-angle camera
Sensors
Camera
HD wide-angle at head · real-time FPV · vision tasks
IMU
Real-time posture detection
Voltage display
On-robot real-time voltage readout
Optional
Temperature & humidity sensor (advanced expansion)
Control & support
Control interfaces
WonderPi app (iOS + Android) · PC software · wireless handle · ROS node
Curriculum
Motion control · OpenCV projects · MediaPipe · ChatGPT integration · voice interaction · sensor apps
Skill level
Intermediate → advanced · Python + AI/ML familiarity recommended
India price
₹ 1,24,900 excl. GST · No-Cost EMI from ₹ 13,878/mo (9 mo)
Warranty & AMC
Manufacturer warranty + 1-Year xBoom AMC · pan-India insured shipping

Specs per manufacturer datasheet. Institution discount, GeM listing, KYC and bulk pricing on enquiry. No-Cost EMI available via Snapmint at checkout (orders above ₹ 3,000).

AI ladder · T1 → T6

Six modules, one embodied-AI course.

The TonyPi Pro tutorials map onto a 6-stage embodied-AI syllabus — from Pi 5 Linux basics to a full LLM-driven, hand-eye capstone.

T1 · Foundation

Pi 5 & Python

Raspberry Pi OS 64-bit · VNC · Python venv · serial-bus servo API

T2

Motion control

Joint control · inverse kinematics · walking gait · IMU balance

T3

OpenCV vision

Colour · contour · face detect · PID target tracking

T4

Hand-eye coordination

Camera-to-arm calibration · pick & place · ball kick

T5

ChatGPT + voice

Wake word · TTS · multimodal · semantic action planning

T6 · Capstone

Embodied-AI project

LLM → vision → motion pipeline · publish or compete

Where TonyPi Pro fits

Where TonyPi Pro works.

The humanoid Indian AI research labs, engineering colleges and robotics competition teams reach for when the demo has to speak, see and move.

01

Embodied-AI research

LLM + vision + motion pipelines, sim-to-real experiments, multimodal action planning — publish-quality data on an approachable budget.

Fit · PhD / MTech thesis
02

Engineering colleges

The T1–T6 ladder covers a full BTech / MTech course in humanoid robotics + embodied AI — Python, OpenCV, IK, LLMs, voice.

Fit · BTech / MTech
03

Robotics competitions

Stair-climb events, ball-kicking, pick-and-place, obstacle courses — competition-ready with tuned Python examples.

Fit · IIT / national events
04

AI demos & showcases

Investor pitches, corporate showrooms, science fairs — a humanoid that responds to natural language and physically acts on it.

Fit · demo / showcase
Good to know

TonyPi Pro questions, answered.

Yes — 20 DOF, dual-controller (Raspberry Pi 5 AI + dedicated MCU gait), ChatGPT multimodal integration, OpenCV + MediaPipe + PID tracking, open-source Python. It’s designed for LLM → vision → action research the way most humanoid teaching platforms are not. Most Indian PhD / MTech embodied-AI groups can adopt it as their primary platform on day one.

You supply an OpenAI or OpenRouter API key. The robot listens for a wake word, sends the transcribed request (plus a live camera frame for multimodal calls) to the LLM, receives a structured action plan back, and dispatches it to the motion / vision stack in Python. Because the source is open, you can swap in a local model, a Claude endpoint, or your own agent framework — nothing about the pipeline is hard-coded to a single vendor.

Autonomous stair climbing, hand-eye pick & place, ball kicking, hurdle crossing, line patrol, colour tracking, face detection, gesture recognition, and voice conversation via ChatGPT. All of it ships pre-tuned with open Python source, so students extend it rather than reverse-engineer it.

The Pi 5’s Arm Cortex-A76 + VideoCore VII GPU is a large step up from Pi 4B for OpenCV and MediaPipe workloads — and the 2 GB variant hits the sweet spot for the humanoid’s vision + control loop. Because gait runs on a dedicated MCU, no Pi RAM is spent on real-time joint control. For heavier local LLMs, you can drop in a Pi 5 4GB or 8GB — the same Python stack runs.

Intermediate to advanced. Comfortable with Python, basic Linux, and ideally some OpenCV or AI/ML exposure. High school students with strong coding backgrounds handle it well; the real sweet spot is undergraduate final-year projects, MTech electives and PhD research groups.

Yes — bulk pricing for colleges and universities, GST invoicing at ₹ 1,24,900 excl. GST, No-Cost EMI from ₹ 13,878/mo across 9 months (via Snapmint at checkout), GeM listing where required, and government-tender documentation. Ask for the institution price sheet on enquiry.

Manufacturer warranty plus the 1-Year xBoom AMC. Every order ships with remote onboarding, a Python + ChatGPT + hand-eye walkthrough session, and access to the full tutorial library including motion control, OpenCV, MediaPipe, ChatGPT integration and voice interaction. Pan-India insured shipping. On-site training and workshops available on request.

Request a quote

Bring TonyPi Pro to your lab.

Tell us your programme — college, research group, competition team, demo studio — and we’ll drop an INR proposal into your inbox with GST invoice, institution discount, No-Cost EMI, and pan-India insured shipping.

  • Authorised India distributor — genuine units, official channel.
  • ₹ 1,24,900 excl. GST · No-Cost EMI from ₹ 13,878/mo (9 mo) · quote in 1 working day.
  • Onboarding, ChatGPT + hand-eye walkthrough & tutorial pack included.
  • Pan-India insured shipping from Bengaluru · GCC coverage via Dubai office.

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