AI + Hardware at the Edge

PKM-Claw is an intelligent embedded hardware development platform that transforms supported ESP32 devices into AI-enabled sensing, monitoring, control and automation systems.

It combines browser-based firmware installation, AI-assisted hardware interaction, universal sensor and I/O monitoring, displays, actuators, local rules, persistent automations, text chat and voice interaction in an integrated platform.

FLASH ONLINE

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DOCUMENTATION

What is PKM-Claw?

PKM-Claw bridges artificial intelligence and physical hardware. Instead of developing separate firmware for every simple sensing, display and automation task, users can install PKM-Claw on supported hardware, connect compatible devices, discover and register them, monitor live values and interact with the system through natural-language commands.

Time-critical monitoring, display updates, rules and automation can execute locally on the embedded device, while AI is used for higher-level interaction and orchestration.

Browser-Based Installation

Install PKM-Claw directly from Chrome or Edge using ESP Web Tools. No Arduino IDE, PlatformIO, or desktop flashing software is required for end users.

Universal Hardware

A unified architecture for supported sensors, analog and digital I/O, displays, actuators, and communication interfaces.

AI + Voice

Interact with connected hardware using natural-language text commands and supported browser voice interaction.

Live Monitoring

Monitor sensors and I/O channels through a browser dashboard with live values, device state, and hardware information.

Local Rules & Automation

Execute monitoring, thresholds, display updates, rules, and automations locally without requiring an AI request for every operation.

Displays & Actuators

Integrate OLED and LCD displays, LEDs, GPIO, PWM, relays, servos, and supported actuator interfaces into intelligent hardware workflows.

How It Works

Get started with PKM-Claw in four simple steps—from a fresh ESP32 board to an AI-enabled hardware platform.

01 — CONNECT

Connect a supported ESP32 board to your computer using a USB data cable.

02 — FLASH

Open PKM-Claw Flash Online in Chrome or Edge and install the compatible firmware directly from your browser.

03 — CONFIGURE

After installation, connect to PKM-Claw-Setup, open 192.168.4.1, and configure Wi-Fi and the supported AI/LLM service.

04 — BUILD

Connect sensors, displays and actuators. Discover hardware, monitor live values, and create rules and automations.

Supported Hardware

PKM-Claw is designed for multiple ESP32 hardware platforms. Firmware availability and validation status may differ between targets.

Hardware Validated

Chip: ESP32-S3
Module: ESP32-S3-WROOM-2-N16R8
Flash: 16 MB
PSRAM: 8 MB Octal
Firmware: PKM-Claw V3.3.0

FLASH ONLINE

Note: Additional hardware profiles are progressively being released and validated. Flash Online indicates which targets currently have an installable PKM-Claw firmware release.

ESP32-S3 Family

ESP32-S3 N8R8

ESP32-S3 N16R2

ESP32-S3 Generic

Newer ESP32 Targets

ESP32-C3

ESP32-C6

ESP32-H2

ESP32-P4

ESP32 Family

ESP32 / ESP32-WROOM

ESP32-S2

Hardware Capabilities - Connect Your Hardware

Build complete sensing, monitoring and automation applications using a unified hardware framework.

Sensors

Light, Temperature & Humidity, Pressure, IMU / Motion, Distance, Voltage & Current, Analog Sensors, Digital Sensors

Displays

OLED Displays, 16×2 I²C LCD, 20×4 I²C LCD, Live Sensor Dashboards, Status Information, Notifications

Outputs & Actuators

LED / RGB LED, GPIO, PWM, Relay, MOSFET Outputs, Servo, Supported Motor Interfaces

Communication & I/O

I²C, SPI, UART, GPIO, ADC, PWM, 1-Wire Framework

Natural-Language Hardware Control - Control Hardware Naturally

Interact with connected hardware using natural-language commands instead of writing new firmware for every simple task. Some examples are as follows:

“Scan the I²C bus and report only the addresses actually detected.”
“Read the current accelerometer and gyroscope values.”
“Monitor the light sensor every second.”
“Display the sensor value on the OLED.”
“Show temperature and humidity on the 20×4 LCD.”
“Turn the status light blue.”
“Create a rule to activate an output when the sensor exceeds a threshold.”

PKM-Claw combines AI-assisted orchestration with local embedded execution, allowing continuous monitoring, display updates, rules and automations to operate without requiring an LLM request for every cycle.

Applications

Education & Training

Hands-on learning for embedded systems, IoT, sensor interfacing, automation and AI-assisted hardware.

Research & Prototyping

Rapid implementation and evaluation of embedded, IoT and intelligent hardware concepts.

AI-IoT Systems

Natural-language interaction with connected sensing, monitoring and control systems.

Smart Monitoring

Environmental, motion, electrical and other real-time sensing applications.

Automation & Control

Event-driven rules, local automation, notifications and actuator control.

Robotics

Integrate IMUs, distance sensors, displays, motors and intelligent interaction.

Install PKM-Claw directly from your browser and turn a supported ESP32 into an intelligent hardware development platform.

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