Tissue Manipulation

Tissue manipulation in minimally invasive surgery is being revolutionized by advancements in robotic systems and AI-driven control. Current research focuses on developing autonomous robotic forceps with integrated force sensing and control, often employing deep reinforcement learning algorithms and incorporating prior knowledge to improve accuracy and efficiency in tasks like tissue resection and traction. These improvements aim to enhance surgical precision, reduce surgeon workload, and ultimately lead to safer and more effective procedures. The integration of haptic feedback and multi-modal force sensing is a key trend, enabling more sophisticated and adaptable robotic control.