Robotics
Plant Bot - Autonomous Plant Care System
Autonomous robot that won 1st Place in Robotics at Georgia State Technology Competition (GASTC).
Overview
Plant Bot is an autonomous robotic system designed to identify, navigate to, and water plants using a combination of computer vision, sensor fusion, and autonomous navigation. The system integrates multiple subsystems including perception, planning, and control to deliver reliable plant care automation.
Role
Lead Engineer - Designed and implemented the complete autonomous system including computer vision pipeline, sensor integration, navigation algorithms, and control systems.
Tech Stack
- •Computer Vision (OpenCV)
- •ROS (Robot Operating System)
- •Python
- •Arduino/ESP32
- •LiDAR/Sonar Sensors
- •Motor Control Systems
- •Sensor Fusion Algorithms
Key Challenges
- •Real-time plant identification in varying lighting conditions
- •Robust navigation in indoor environments with obstacles
- •Precise water delivery mechanism control
- •Integration of multiple sensor modalities for reliable perception
- •Power management for extended autonomous operation
Results
- •1st Place in Robotics category at Georgia State Technology Competition (GASTC)
- •Successfully demonstrated autonomous plant identification with >90% accuracy
- •Reliable navigation and obstacle avoidance in test environments
- •Validated system performance across multiple plant types and configurations
Next Steps
- •Integration of soil moisture sensors for adaptive watering schedules
- •Multi-robot coordination for larger-scale deployments
- •Machine learning model refinement for improved plant classification
- •Cloud connectivity for remote monitoring and control
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