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Researchers in Prof. Mark Schnitzer's laboratory have developed a robotic optical microscopy system which enables users to simultaneously view and record separate areas of a single three-dimensional sample.

Stanford researchers have developed an innovative underwater sensing system inspired by the whiskers of aquatic mammals, enabling robots to detect and track contact with high precision in low-visibility conditions.

Stanford scientists have developed an innovative capacitive 6-axis force-torque sensor priced under $10—significantly more affordable than conventional sensors costing $1000+.

Stanford researchers have developed a patented, wearable, haptic feedback device that provides position and velocity information on the limbs and torso by imparting rotational skin stretch.

Mechanical engineers at Stanford have patented a soft robot with a vine-like structure capable of growing over 100 times in length.

Researchers in the Bao Group demonstrated a first in class, stretchable, high performance, high transistor density device.

Researchers at Stanford University have developed a multilayered immiscible polymer system capable of autonomously realigning its layers to enhance the healing process after damage.

Researchers at Stanford have developed a machine learning method for identifying anomalies in complex data streams.

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.

Stanford researchers provide a testing strategy for autonomous vehicles that make use of rule-based domain knowledge.

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.