Researchers introduced an advanced multisensory interface in Actuators journal, enhancing robot-assisted pouring tasks with detailed sensory feedback while managing high visual demands. Their optimization method identified the most effective combination of feedback modalities, maximizing perception while minimizing cognitive load.
Researchers introduced hybrid fuzzy PID controllers for quadcopter drones in agriculture, combining the adaptability of fuzzy logic with the precision of classical PID control. These controllers outperformed traditional PID controllers in stability, accuracy, and adaptability, offering significant improvements in smart agriculture tasks.
Researchers from China proposed a novel method for reducing vibrations in industrial robots through time-lag filtering based on trapezoidal trajectory interpolation. This technique targets enhancing motion accuracy and stability by reducing harmonic components' amplitudes within specific frequency bands.
Researchers developed SMR-O, a miniature quadrupedal piezoelectric robot, leveraging a novel spatial parallel mechanism and innovative piezoelectric actuator manufacturing. With peak speeds of 48.66 cm/s and a payload capacity of 5.5 g, SMR-O demonstrates rapid and agile locomotion, promising applications in search and rescue, exploration, medical diagnostics, and fault detection.
Researchers proposed an advanced framework for robotic technology systems in coal mining operations to enhance safety, efficiency, and intelligence. They conducted a comprehensive review of coal mining robots, highlighting achievements, innovations, and challenges.