Force Perception

Force perception research aims to accurately measure and interpret forces during interactions, particularly in challenging environments like minimally invasive surgery. Current efforts focus on developing robust force estimation methods, employing hybrid model-learning approaches that combine physics-based models with machine learning techniques (e.g., deep neural networks) to improve accuracy and generalization across diverse scenarios. These advancements are crucial for improving robotic dexterity, enabling haptic feedback in surgical robots, and enhancing the safety and precision of various robotic applications.