Jason Mayeda

Papers

Total Citations

120

H-Index

About

Jason Mayeda is a leading researcher in soft robotics, with a specialized focus on the design and fabrication of embedded sensing systems. His work addresses a critical bottleneck in the field: creating sensors that are as compliant and adaptable as the soft robots they monitor. Mayeda’s major contribution lies in pioneering the use of 3D printing to produce soft, multimaterial resistive sensors that can be directly integrated into robotic structures, eliminating the need for bulky, rigid components. His most influential work, “Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics” (2019), has garnered 106 citations, establishing it as a foundational reference for researchers seeking to balance geometry, material properties, and actuation in sensor design. This paper provides a systematic framework for navigating the complex design space of soft sensors, a challenge that has long hindered progress in the field. Through his research, Mayeda has demonstrated that additive manufacturing can be leveraged to create highly customizable, durable sensors, paving the way for more dexterous and perceptive soft robots. His contributions are essential reading for anyone looking to advance the integration of sensing and actuation in compliant robotic systems.