HKUST Researchers Demonstrate Optical Skin for Robotic Arm Sensing in Nature Sensors

The Hong Kong University of Science and Technology (HKUST) team led by Professor Yanjing Shen published a study in Nature Sensors on July 20, 2026, introducing EmArm, an embodied perception-driven robotic arm. This system embeds sub-millimeter cameras between a rigid skeleton and soft skin to detect deformation caused by contact. By analyzing grid distortion captured internally, the arm identifies contact location, area, force magnitude, and number of points simultaneously. While achieving spatial resolution finer than the human forearm in specific metrics, the prototype remains in the laboratory stage without long-term durability validation under industrial conditions.