Active manipulation of light beams is required for a range of emerging optical technologies, including sensing, optical computing, virtual/augmented reality, dynamic holography, and computational imaging.
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.
Image sensors are used across the board in high-resolution image sensing technologies, and critically rely on their ability to separate colors of light.
Researchers at Stanford have developed a multi-wavelength laser with perpendicular polarization, which supports easy and independent measurement in various optical sensors for improved accuracy and speed.
Researchers at Stanford have developed a highly efficient (>90%) holographic beam steering method for obtaining distance information of objects nearby, with applications from autonomous vehicles to home appliances.
Researchers at Stanford are advancing a new class of nonlinear optical devices that operate with significantly lower energy requirements than previous platforms.
Stanford researchers developed a method to make large phase shifts with little or no power dissipation in integrated optics. The approach uses a directional coupler moved by a MEMS actuator to achieve a path delay, i.e. an effective change in refractive index.
A team of interdisciplinary researchers at Stanford have developed a small, lightweight optical strain sensor device to sensitively measure forces within the mitral valve apparatus to help determine the appropriate repair technique for patients undergoing valvular surgery for
Researchers at the SLAC National Accelerator Laboratory have developed a cost-effective method for using low temperature microwave annealing to create diode termination contacts on silicon sensors.
This nanoparticle platform for electric field detection is the first inorganic platform to use both intensity and spectro-ratiometric (relative color change) readout for the determination of local electric fields in vitro, in vivo, and in situ.
Stanford researchers at the Vuckovic Lab have created a computational nanophotonic design library for gradient-based optimization called the Stanford Photonic INverse design Software (Spins).
Stanford researchers at the Cui Lab have designed a self-aligned hybrid metal-dielectric surface that offers unparalleled performance in applications where both a transparent contact and a photon management texture are needed.