Robotic Pouring

Robotic pouring research focuses on enabling robots to accurately and reliably pour liquids and granular materials, a task challenging due to the complex dynamics of these substances. Current efforts concentrate on developing robust sensing methods, including capacitive sensing, vision-based systems (often leveraging deep learning for image analysis and segmentation), and tactile/proprioceptive feedback, coupled with control algorithms like PID controllers to achieve precise pouring. These advancements are significant for automating tasks in various domains, from industrial processes and laboratory settings to consumer applications like cooking and food preparation.