
Robotic Fence Building System
Introduction
This document outlines the development of a robotic fence-building machine designed to automate the construction of wooden fences, significantly reducing labor costs. The system is based on a modular, rail-guided robotic train capable of terrain mapping, post hole drilling, post installation, rail attachment, picket placement, and final hardware installation.
Table of Contents
URS
User Requirement Specifications
Requirement | Constraint | Goal |
---|---|---|
Automation | Full fence build | Minimal human interaction ✅ |
GPS Accuracy | Sub-inch precision | Use RTK-GPS or visual SLAM |
Power Supply | Rechargeable, autonomous | Solar + LiFePO4 battery banks |
Rail System | Portable, terrain-adaptive | 12″ wide modular track |
Safety | Avoid underground hazards | GPS, ultrasonic, GPR integration |
Compatibility | Standard lumber sizes | 4×4 posts, 2×4 rails, standard pickets |
Build Speed | Efficient construction | Target: 30 ft/hr |
Physics
- Forces: Torque during drilling, soil resistance
- Post Stability: Cement curing, vibration requirements
- Motion: Robotic arm payload vs. reach balance
Free Body Diagram
[Insert sketch showing robot on rail with drilling arm, forces, moments, and center of mass]
Design
- Track System: 12” wide modular aluminum or composite rail
- Chassis: Self-leveling, dual-motor bogie
- Navigation: RTK-GPS, visual SLAM, ultrasonic rangefinding
- Modules:
- Survey Module: Maps GPS and detects obstacles
- Drill Module: Auger with adaptive feedback
- Post Module: Auto-leveling, cement dispensing
- Rail Module: Laser-guided triple-rail placement
- Picket Module: Auto-loader with screwgun
- Hardware Module: Installs latches and hinges
BOM
Component | Qty | Description |
---|---|---|
RTK-GPS module | 1 | Sub-inch GPS accuracy |
LIDAR/Ultrasonic sensors | 4 | Obstacle detection |
Servo motors | 10+ | For multi-axis robotic arms |
Auger drill | 1 | Post hole creation |
Cement hopper + pump | 1 | Automatic cement dispensing |
Linear actuators | Many | Leveling and precise movements |
MCU (ESP32/Jetson Nano) | 1 | Centralized control unit |
Solar panel (optional) | 1 | Recharge idle battery system |
Electronics
- Distributed microcontroller network
- Sensor fusion (IMU + GPS + Visual)
- CAN bus or LoRa communication
- Battery management system (LiFePO4)
Code
- Written in C++/Python
- Modules:
- Survey and mapping
- Pathfinding and control
- Drill and cement control
- Arm kinematics and PID tuning
- UI/UX dashboard for operator
Modeling
- CAD: Chassis, rail connectors, robot arms
- FEA: Force distribution under load
- Simulation: Rail travel, fence layout coverage
Fabrication
- CNC for chassis and mounts
- 3D printing for brackets and arm joints
- Bolt-together track with snap-fit joiners
- Modular assembly jig
Guides
- Setup: Track layout, calibration, diagnostics
- Safety: Emergency stops, sensor pre-checks
- Maintenance: Cleaning cement lines, joint lube, firmware update
Notes
- Consider splitting bots: one for drilling/posts, another for rails/pickets
- AR visualization tool for user pre-layout
- Future AI optimization for jagged or irregular terrain