Explorer EOD Rescue Robot
A fully autonomous mobile robot designed for counter-terrorism, bomb disposal, and rescue tasks, featuring a four-wheel drive chassis, five-degree-of-freedom robotic arm, and multi-vision systems.
- Wheeled
- No license: all rights reserved by the creator
- Works with AI
- 3D printable
Suggested by Robotheca, created by @SakuraHop (opens in a new tab), from github.com/SakuraHop/explorer-eod-rescue-robot (opens in a new tab). Pinned to commit 53273ef (opens in a new tab).
- Hardware license
- No license
- Software license
- No license
- Commercial use
- Unknown
No license is stated for part of this robot.
The creator chose the hardware and software licenses on Robotheca; the repository has no license file for them yet.
This repository contains executable files that Robotheca doesn't check. Only run them if you trust the creator.
Which files (1 script)
Photo
- Power
- 12.6 V
- Reach
- 300 mm
- Height
- 296.4 mm
What it can do
Written by Robotheca from the project's documents.
- Fully autonomous navigation on a 3500 mm × 3500 mm field
- Decodes three-digit task QR codes to determine mission sequence
- Drives autonomously with closed-loop heading and distance control
- Detects and avoids speed bumps using encoder and IMU feedback
- Identifies red, green, or blue explosive targets using color segmentation
- Grabs explosive targets with a five-degree-of-freedom robotic arm and soft gripper
- Detects red, green, or blue anti-terror targets for laser aiming
- Fires a 650 nm red laser at the detected anti-terror target
Works with AI
Found by Robotheca in the project's files at commit 53273ef, its robot.yaml and Robotheca's notes on its documents. Never guessed; Robotheca doesn't run the code.
Ships a trained model: best_AnchorBaseDet_can2_5_s_20250930174631.kmodel
In the project files: vision/k230/hostage-detection/mp_deployment_source/best_AnchorBaseDet_can2_5_s_20250930174631.kmodel
Bill of materials
This repository has no parts list Robotheca can read yet.
Build guide
The creator's steps, each with its instructions.
- 1Assemble the four-wheel drive chassis
- 2Install the STM32F407VET6 main control board and power system
- 3Mount the five-degree-of-freedom robotic arm
- 4Integrate the dual OpenMV vision system
- 5Deploy the K230 vision model for target detection
- 6Calibrate sensors and test motor drivers
- 7Program the STM32 firmware for autonomous task execution
- 8Test and debug the complete robot system
The creator's guide is written in Chinese. It has no license, so all rights stay with the creator: Robotheca doesn't show it here or translate it, and gives its own notes about the robot instead.
Read the creator's guideAsk the creator on GitHub (opens in a new tab)More guides
Wiring and electronics
Notes written by Robotheca from the project's documents.
Main parts
- STM32F407VET6 microcontroller as the main control unit
- Two OpenMV cameras for QR code and color target detection
- K230 vision co-processor for rescue target classification
- HWT101 IMU for heading angle and angular rate feedback
- Two GMR encoder-equipped DC motors per side for odometry
- Two TB6612FNG motor drivers for four-wheel drive
- Five-degree-of-freedom robotic arm with a 42-stepper motor and four servos
- Soft gripper with rubber/silicone contact surface for target grasping
- 650 nm red laser module with transistor switch control
- 12.6 V lithium battery power supply with MP1584EN 5 V regulator
- OLED display for human-machine interaction
- Buzzer for audio feedback
Connections
- STM32 USART2 connected to front OpenMV UART3 for 6-byte task and color data
- STM32 USART1 connected to arm-mounted OpenMV UART3 for 9-byte color X/Y data
- STM32 USART6 connected to K230 UART2 for 9-byte rescue target X coordinates
- HWT101 IMU connected via UART to STM32 for heading and angular rate feedback
- Two GMR encoders connected to STM32 TIM encoder inputs for speed and distance
- Four DC motors driven by two TB6612FNG motor drivers connected to STM32 PWM and GPIO
- Robotic arm stepper motor and four servos connected to STM32 timers and GPIO
- Laser module controlled by STM32 GPIO with transistor switch
- OLED, buzzer, and buttons connected to STM32 I2C, GPIO, and ADC
- All devices share common ground and 5 V or 12.6 V power rails as per PCB design