Reliable Tissue Grasping in Robotic Minimally Invasive Surgery Enabled by Optical‐Based Slip Sensing

Grasping delicate, deformable, and slippery biological tissues in robotic minimally invasive surgery (RMIS) is challenging: excessive force can cause tissue damage and bleeding, while insufficient force may result in slippage, increasing the risk of surgical accidents and delays. To apply appropriate force and enhance surgical outcomes, detecting slippage between the tissue and the grasper is critical. An optical slip‐sensing method that precisely detects various slip conditions and estimates their displacement, direction, and speed across a broad range of slip speeds (0.3–104 mm s −1 ). Experimental results confirm high accuracy in slip displacement estimation below 0.01 mm with a mean error of 0.20 mm over 8.5 mm and a short response time (<30 ms), as well as independence from intermediate medium and slip speed. The slip sensor is integrates into a da Vinci surgical grasper and uses to grasp ex vivo porcine tissue. The results confirm that distinct translational and rotational slip patterns and tissue stretch during tissue handling can be identified using data from paired sensors. These findings verify the feasibility of optical slip sensing in a surgical environment and suggest its potential to enable reliable tissue handling in RMIS.