The field of robotics and precision agriculture is witnessing significant developments, with a focus on improving control systems, enhancing efficiency, and reducing waste. Researchers are exploring innovative methods to optimize robotic control, such as adaptive-speed stirring for accurate pest counting and real-time nonlinear model predictive control for heavy-duty hydraulic manipulators. Additionally, there is a growing emphasis on precision agriculture, with the development of intelligent water-saving irrigation systems and time-optimal transport of liquid-filled cups. These advancements have the potential to transform various industries, including agriculture, manufacturing, and logistics. Noteworthy papers include:

• A Robotic Stirring Method with Trajectory Optimization and Adaptive Speed Control for Accurate Pest Counting in Water Traps, which proposes a novel method for accurate pest counting.
• An Intelligent Water-Saving Irrigation System Based on Multi-Sensor Fusion and Visual Servoing Control, which introduces a system designed to address critical challenges in precision agriculture.
• Full-Dynamics Real-Time Nonlinear Model Predictive Control of Heavy-Duty Hydraulic Manipulator for Trajectory Tracking Tasks, which presents a framework for guaranteeing constraint satisfaction in real-time control frameworks.