Mantas Naris
Papers
4
Total Citations
118
H-Index
4
About
Mantas Naris is a pioneering researcher at the intersection of soft robotics and bioinspired actuation, whose work is reshaping how machines interact with the physical world. His primary research areas include soft robotic shape displays, nonlinear actuator control, and embedded sensing systems for deformable robots. Naris made a landmark contribution with his 2023 study on a multifunctional soft robotic shape display, which achieved high-speed actuation, sensing, and control—a feat that garnered 65 citations and opened new possibilities for haptics and aerodynamic surfaces. He further advanced the field by developing system identification and closed-loop control methods for nonlinear soft actuators (30 citations), addressing a critical bottleneck in creating reliable soft robots for medical and wearable applications. Notably, his 2022 work on embedded magnetic sensing for feedback control of soft HASEL actuators (13 citations) introduced a robust alternative to traditional capacitive sensors, enhancing the viability of soft robotic systems. Beyond engineering, Naris has explored neuromechanical models of insect locomotion (10 citations), demonstrating a unique ability to bridge biological principles with robotic design. His integrated approach to sensing, control, and actuation positions him as a key innovator in the quest for truly lifelike, adaptive soft machines.
Research Focus
Key Achievements
Top Papers
- 1
- 2Identification and Control of a Nonlinear Soft Actuator and Sensor System30 citations · 2020
- 3Embedded Magnetic Sensing for Feedback Control of Soft HASEL Actuators13 citations · 2022
- 4