Production-grade ROS2 Jazzy mobile robot for university labs and research institutes.
Built and shipped by VEEROBOT® / Siliris Technologies — Bengaluru, India.
BeetleBot is a rugged, fully autonomous mobile robot designed for university robotics labs, research institutes, and algorithm development teams who need a serious platform — not a toy.
Unlike hobby robots, BeetleBot uses an aluminium chassis, metal gear motors, a dedicated STM32F405 real-time motor controller (Lyra), and a complete ROS2 Nav2 stack — all pre-configured and ready to deploy.
Comparable to Clearpath Husky or AgileX Scout in capability. Significantly more accessible in cost.
Deployed at university robotics labs across India. Available for worldwide purchase and shipping.
| Spec | Detail |
|---|---|
| Dimensions | 375 × 360 × 245 mm |
| Weight | ~2.2 kg |
| Drive | 4-Wheel Skid-Steer |
| Max Speed | 1.0 m/s |
| Payload | 1 kg |
| Battery | 3S Li-Ion 11.1V 10Ah (5–6 hr runtime) |
| Compute | Raspberry Pi 5 (8GB RAM) |
| Motor Controller | STM32F405 @ 168 MHz (FreeRTOS, 20Hz PID) |
| LiDAR | RPLiDAR C1 — 360°, 12m range |
| IMU | LSM6DSRTR — 6-axis, 100Hz |
| Encoders | 3600 ticks/revolution per wheel |
| Camera | Raspberry Pi Camera V1.3 — 5MP |
| Communication | WiFi 6 (2.4/5GHz), Ethernet, UART |
| OS | Ubuntu 24.04 + ROS2 Jazzy (pre-installed) |
┌──────────────────────────────────┐
│ Laptop / PC (Optional) │
│ RViz · Gazebo · SSH Dev │
└───────────┬──────────────────────┘
│ WiFi / Ethernet
▼
┌──────────────────────────────────┐
│ Raspberry Pi 5 — ROS2 Brain │
│ Nav2 · SLAM · EKF · Joystick │
└────┬──────────────┬───────┬──────┘
│ UART3 │ CSI │ USB
▼ ▼ ▼
┌──────────┐ ┌────────┐ ┌────────┐
│ Lyra │ │ Camera │ │ LiDAR │
│ STM32F405│ │ V1.3 │ │ C1 │
│ │ └────────┘ └────────┘
│ 4× JGB37 Motors
│ 4× Quadrature Encoders
│ IMU LSM6DSRTR
│ Battery Monitor
└──────────┘
Lyra is BeetleBot's custom STM32-based real-time motor controller. It runs FreeRTOS with deterministic 20Hz PID loops, watchdog safety, multi-layer fault detection, and a binary serial protocol to the Raspberry Pi. Linux cannot do real-time motor control — Lyra handles everything the Pi cannot.
| Layer | Technology |
|---|---|
| OS | Ubuntu 24.04 Server (64-bit ARM) |
| Middleware | ROS2 Jazzy Jalisco |
| Navigation | Nav2 (global + local planner) |
| Mapping | SLAM Toolbox |
| Localization | AMCL + robot_localization EKF |
| Simulation | Gazebo Harmonic (URDF + SDF) |
| Motor Control | Custom FreeRTOS firmware (STM32F405) |
| Sensor Fusion | Extended Kalman Filter (wheel odometry + IMU) |
- BeetleBot hardware (see Purchase)
- Laptop running Ubuntu 22.04 or 24.04
- ROS2 Jazzy installed on laptop (for visualization)
# Source the command utility
source ~/lyra_ws/lyra_commands.sh
# Manual joystick control
lyra-launch-robot-teleop
# Build a map (SLAM)
lyra-launch-robot-slam
# Autonomous navigation with an existing map
lyra-launch-robot-nav ~/maps/my_map.yaml
# Health check
lyra-status
lyra-batterylyra-arm # Enable motors (required before driving)
lyra-disarm # Disable motors
lyra-stop # Emergency stop
lyra-launch-rviz # Open RViz on laptop
lyra-nodes # List running ROS2 nodes
lyra-topics # List active topics/cmd_vel # Velocity commands (geometry_msgs/Twist)
/odom # Wheel odometry
/scan # LiDAR (sensor_msgs/LaserScan)
/imu/data_raw # IMU data
/battery_voltage # Battery level
/joy # Joystick inputFull documentation is available at:
📖 docs.veerobot.com/ros-robots/beetle-bot
Includes:
- Hardware Familiarization
- System Setup Guide
- ROS2 Communication & Tools
- Robot Simulation with Gazebo
- Sensor Data Visualization
- IMU Signal Processing
- Teleoperation Control
- Sensor Fusion with EKF
- SLAM Mapping
- Camera-Based Perception
- Localization Techniques
- Autonomous Navigation
- Nav2 Optimization Guide
Estimated learning time: 40–60 hours from beginner to full autonomous navigation.
BeetleBot/
├── lyra_ws/
│ ├── lyra_bringup/ # Launch files (teleop / slam / nav)
│ ├── lyra_control/ # Motor control node
│ ├── lyra_bridge/ # STM32 serial bridge
│ ├── lyra_slam/ # SLAM configuration
│ ├── lyra_nav2/ # Nav2 configuration
│ ├── camera_ros/ # Camera driver
│ └── sllidar_ros2/ # RPLiDAR driver
├── STM32F405RGTx/ # Lyra firmware source (FreeRTOS / C)
├── maps/ # Example pre-built maps
├── docs_ros2/ # Quick reference and setup guides
└── README.md
Note: All ROS2 command shortcuts use the
lyra-prefix (Lyra is the internal name for the BeetleBot platform controller). The robot you interact with is BeetleBot; Lyra is the underlying control system.
- Always arm motors (
lyra-arm) before driving and disarm (lyra-disarm) when done - Battery cutoff: 9.3V (BMS protected). Normal range: 10–13.2V
- Emergency stop:
lyra-stopat any time - Do not operate near stairs or water
- Maximum safe indoor speed: 0.5 m/s during mapping
BeetleBot is a commercial product, manufactured and shipped by Siliris Technologies Pvt. Ltd. (VEEROBOT®), Bengaluru, India.
🛒 veerobot.com — Online store
📖 docs.veerobot.com — Full documentation
📧 sales@veerobot.com — Sales enquiries
📞 +91-9008-177-577 — India (WhatsApp available)
🌍 Worldwide shipping via DHL / FedEx. Export documentation and IEC clearance provided.
Universities and research institutions: contact us for institutional pricing, bulk orders, and custom configurations.
- Robot firmware & ROS2 packages: GPLv3 (see LICENSE)
- ROS2 dependencies: Apache License 2.0
- Documentation: © Siliris Technologies Pvt. Ltd.
BeetleBot Hardware v1.1 · Firmware 2025.11.05 · ROS2 Jazzy
Manufactured by Siliris Technologies Pvt. Ltd., Bengaluru, India