The recent advancements in tactile sensing and robotic grasping have significantly pushed the boundaries of compliant and soft robotic systems. Innovations in multimodal visual-tactile sensors have enabled high-resolution, large-area tactile perception in soft grippers, overcoming the limitations of rigid forms and enhancing the ability to interact safely with objects. These sensors are now capable of integrating human-like multimodal perception, including force, temperature, and slippage detection, which is crucial for versatile robotic applications. Additionally, the development of adaptive grasping force tracking strategies has addressed the complexities of handling objects with nonlinear and time-varying behaviors, improving the precision and adaptability of robotic grasping in unstructured environments. Benchmarking protocols for soft grasping have also been introduced, providing standardized methods for evaluating and comparing the performance of various gripper designs. These developments collectively enhance the robustness and reliability of soft robotic systems, paving the way for more sophisticated and versatile robotic applications in the future.

Noteworthy papers include one that introduces a multimodal visual-tactile sensor designed for substantial structural deformation in soft grippers, demonstrating significant improvements in sensing capabilities. Another paper presents an adaptive grasping force tracking strategy that effectively addresses the challenges of nonlinear and time-varying object behaviors, significantly enhancing the robotic grasping ability in diverse environments.