Khan Mohammad Ehshan
Papers
1
Total Citations
4
H-Index
1
About
Khan Mohammad Ehshan is a researcher at the forefront of soft robotics and additive manufacturing, with a focus on developing low-cost, sensor-rich robotic systems. His major contributions lie in the integration of embedded tactile and strain sensors directly into 3D-printed structures, enabling more dexterous and perceptive robotic appendages. His most-cited work, "A 3D Printed Robotic Finger with Embedded Tactile Pressure and Strain Sensor" (2020), demonstrates a groundbreaking approach by combining a flexible piezoresistive polymer for pressure sensing with a thread-based carbon-coated strain sensor to track finger bending—all within a single, affordable 3D-printed component. This innovation addresses key challenges in creating functional, sensorized robotic hands without expensive assembly or complex electronics. With 4 citations, this paper has influenced subsequent research in embedded sensing and rapid prototyping. Ehshan’s work is notable for its emphasis on accessibility and practicality, making advanced robotics more attainable for labs and industries with limited resources. His achievements highlight the potential of merging 3D printing with smart materials, paving the way for next-generation prosthetics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1