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.
Researchers in the Molecular Imaging Instrumentation Laboratory at Stanford University have developed a PET (positron emission tomography) detector and front end readout assembly that can operate in a high field MRI (magnetic resonance imaging) system.
Researchers at Stanford have developed a method for instructing the steering system of an autonomous vehicle to perform a lateral steering action, e.g., when changing lanes or repositioning within a lane.
Researchers at Stanford have developed a new synthetic strategy for self-assembling layered heterostructures into large single crystals and films useful in microelectronics.
Stanford inventors have developed and fabricated biodegradable and biocompatible polysaccharide hydrogel optical fibers for fiber optic sensing and light transmission in biomedical applications like antigen detection, tracking cellular events, and optogenetics.
Researchers at Stanford have advanced the concept of an "Anticipatory Control Interface" that informs the driver of a partially automated vehicle of its lateral trajectory plan.
Stanford inventors have developed a rechargeable, fluid-based shock absorber material for use in space constrained environments. Foam is the most common form of shock absorption material, but its force exerted is proportional to the degree of displacement.
Stanford inventors have developed TrueImage, a machine learning algorithm to assess the quality of patient images sent in for telemedicine appointments.
Researchers at Stanford have designed a new nanophotonic detector to reduce cost, size and power consumption compared to existing thermal infrared (IR) cameras.
Determining a patient's drug susceptibility is currently a lengthy process requiring hundred to millions of cells. Currently, these cells are labelled, frozen or otherwise manipulated in ways that prevent sequential testing against multiple drugs on the same few cells.
Scientists in the Zhenan Bao Research Group at Stanford developed a process for direct photo-patterning of electronic polymers that improves device density of elastic circuits over 100x.
The Zhenan Bao Research Group at Stanford University has designed an intrinsically stretchable polymeric matrix that allows seamless integration with physically crosslinked PEDOT:PSS, while stabilizing its high stretchability, and high conductivity after all necessary fabricat
The Zhenan Bao Research Group at Stanford University developed and manufactured a photo-curable, directly patternable, stretchable, and highly conductive polymer that is ideal for bioelectronic applications, and stretchable electronic devices.
Chemical engineers at Stanford have developed miscible antifoams that are easy to incorporate and do not separate out from the target liquid during operation.