Autonomous harvesting and crop-handling robots;
Sensor-based crop monitoring and data analytics;
Robotic navigation in unstructured agricultural environments;
Multi-robot collaboration for farming tasks;
Sustainable weeding technologies (e.g., laser, mechanical);
Vision systems for fruit detection and ripeness assessment;
Path planning and manipulation for robotic harvesting;
Human-robot collaboration in agricultural settings;
Energy-efficient robotic systems for farming;
Robotics for greenhouse and controlled-environment agriculture;
Integration of IoT and robotics in smart farming;
Hardware design for agricultural robots, including grippers and robotic arms;
Large language models (LLMs) for agricultural robot decision-making and task planning;
Vision-language models (VLMs) for enhanced crop and environment perception;
Vision-language-action models (VLAs) for integrated perception and manipulation in agricultural robotics.
