Stanford researchers have invented an efficient rotary actuator that recycles elastic energy by engaging and disengaging springs using concentric electroadhesive clutches.
Researchers at Stanford University have developed a multilayered immiscible polymer system that can autonomously realign its layers to facilitate the healing process following damage.
Stanford inventors have created an audio-visual system with a radiotransparent screen provides a means for communication and visual distractions during procedures such as radiation therapy and radiation imaging.
The Follmer group has designed a soft jamming brake and artificial muscle (SJBAM) actuator for improved muscle static and dynamic response along with expanded brake bandwidth.
Stanford researchers have developed a novel method (LISA) for enabling artificial agents / robots to follow natural language instructions in complex environments.
Stanford researchers have developed a method to form orthogonal overlapping joints at the 4 corners of the starting square. In order to have constant height of each beam, inserts in the beams between the joints will be required.
Researchers at Stanford have reported the first high energy density shape memory polymer based on the formation of strain-induced supramolecular nanostructures, which immobilize stretched chains to store entropic energy.
Stanford inventors have developed a mechanical differential that is cable-actuated for controlling a 2 degree-of-freedom (DoF) of mobility in a robotic joint.
One of the largest challenges for soft robotics is obtaining adequate feedback control while forming dexterous movements. Here Stanford researchers have developed a patterning technique using a UV laser on metalized plastic film.
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 engineers have developed an optical modulator to enable low-cost and high spatial-resolution time-of-flight imaging and LiDAR with low-cost standard image sensors.
Researchers at Stanford have developed a new path planning algorithm that enables autonomous multi-drone aerial surveys over large-scale environments. Their system solves the problem of finding routes over large areas in order to complete aerial survey tasks in reduced time.