SO 100 ARM - Autonomous Robotic Manipulator
The SO 100 ARM project involves designing, building, and programming a sophisticated 6-degree-of-freedom robotic arm with AI-powered autonomous movement capabilities. This project will integrate mechanical engineering, electrical systems, computer vision, and machine learning to create a versatile robotic platform capable of performing complex manipulation tasks independently.
The robotic arm will feature servo-controlled joints, computer vision for object recognition and spatial awareness, and machine learning algorithms for path planning and task execution. The system will be capable of picking, placing, sorting, and manipulating objects with high precision while learning and adapting to new tasks through AI training.
Project Goals
Project Goals
Primary Objectives
- Functional Robotic Arm: Complete 6-DOF arm with precise servo control
- Computer Vision Integration: Real-time object detection and tracking (95%+ accuracy)
- Autonomous Operation: AI-driven task execution without human intervention
- Learning Capability: Machine learning model that improves performance over time
- [ ] Precision: ±2mm positioning accuracy in 3D space
- [ ] Speed: Complete pick-and-place operations in under 10 seconds
- [ ] Object Recognition: Identify and classify 20+ different objects
- [ ] Task Completion: 90%+ success rate on predefined manipulation tasks
- [ ] Learning Performance: 15% improvement in task efficiency after 100 training cycles
- Integration with industrial automation systems
- Multi-arm coordination for complex assembly tasks
- Human-robot collaboration interfaces
- Open-source platform for educational robotics
Success Metrics
Deliverables
1. Hardware Platform: Fully assembled and calibrated robotic arm
2. Control Software: Real-time control system with GUI interface
3. AI Models: Trained neural networks for vision and motion planning
4. Documentation: Complete technical documentation and user manual
5. Demonstration: Live demo showcasing autonomous manipulation capabilities
6. Research Paper: Technical paper documenting methodology and results
Long-term Vision
Budget Information
Estimated Budget: $2500
Funding Source: Seeking Club Funding
Budget Breakdown:
Budget Information
Total Budget: $2,500
Funding Source: Seeking Club Funding
Budget Breakdown:
Hardware Components ($1,690)
- Servo Motors (6x MG996R): $150
- Microcontrollers (Arduino + ESP32): $105
- Raspberry Pi 4 (8GB): $95
- Camera Modules (2x): $60
- Sensors & Electronics: $200
- 3D Printing Materials (10kg): $150
- Power Supply & Batteries: $120
- Mechanical Hardware: $100
- Development Tools: $80
- Display & Interface: $150
- Gripper Mechanism: $200
- Miscellaneous/Contingency: $280
Additional Costs ($810)
- Software Licenses: $300
- Competition Entry: $200
- Documentation & Presentation: $100
- Testing Materials: $210
Cost Savings:
- Educational discounts on components
- In-house 3D printing
- Open-source software priority
- Bulk purchasing discounts