Topic: Embodied Intelligence for Smart Agricultural Robotics

Embodied intelligence—the ability of robots to perceive, reason, and act in physical environments through sensorimotor interactions—holds transformative potential for addressing global agricultural challenges, such as labor shortages, resource constraints, and the need for sustainable food production. By integrating advanced perception, adaptive learning and control, and context-aware decision making, embodied intelligent agricultural robots can operate autonomously in unstructured, dynamic farm settings, enabling precision farming at scale. This Special Issue aims to showcase cutting-edge research that bridges the gap between embodied intelligence theory and real-world agricultural applications, fostering innovations in smart farming technologies.

We invite original contributions that explore the application of embodied intelligence in agricultural robotics. Submissions may address theoretical advancements, technological innovations, or practical implementations that enhance robot autonomy, efficiency, and adaptability in agricultural contexts. We particularly welcome interdisciplinary research from robotics, artificial intelligence (AI), agriculture, and related fields, with a focus on solving real-world farming challenges through embodied intelligent systems.

Topics of interest include, but are not limited to:

● Multi-modal perception for agricultural environments (e.g., crop/soil/phenotyping monitoring, pest detection, scene understanding);
● Reinforcement learning and adaptive disturbance-rejection control, as well as fault-tolerant control for embodied agricultural robots (e.g., autonomous navigation, manipulation, task planning);
● Human-robot interaction in smart farming (e.g., collaborative robots, intuitive interfaces for farmers);  
● Integration of large language models (LLMs) with embodied agents to enhance reasoning and usability; 
● Benchmarking and evaluation of embodied intelligence in agricultural robotics (e.g., simulation tools, real-world testing frameworks); 
● Case studies of embodied robots for precision planting, breeding, harvesting, weeding, or livestock management.

Embodied intelligence, agricultural robotics, smart agriculture, precision agriculture, autonomous farming, robot perception, reinforcement learning, disturbance-rejection control, fault-tolerant control, human-iobot Interaction, agricultural automation