Inspired by the "last inch" problem in robotic manipulation, the Kennedy group at Stanford has developed a tactile sensor and calibration method for machine-learning-based robotic manipulation.
Stanford researchers at the Cutkosky Lab have developed a fast process for directly machining into metal to create wedge-shaped geometries. The machined mold is then used to cast gecko-inspired adhesives multiple times without damaging the mold.
Stanford researchers at the Bao Research Group have patented a body area sensor network (bodyNET) that can be used to monitor human physiological signals for next-generation personalized healthcare.
Stanford researchers have developed a compact, low-cost complete sensor solution (sensor plus reader) which can interpret fully-passive sensors through a simple handheld external reader. The readout mechanism can take measurements independent of the readout distance (i.e.
Stanford researchers at the Bao Research Group have developed a second-generation stretchable multi-sensor tag technology for detecting physiological signals.
Researchers in Professor Zhenan Bao's group at Stanford University have developed a biomimetic soft electronic skin (e-skin) with multiple levels of biologically inspired patterning that can detect the direction of applied forces.
This compact, low-cost, high resolution angular position sensor is designed to improve the movement of rotary joints. The capacitive sensor, which includes two flat discs patterned with conductive material can be packaged in tight spaces.