Khan Mohammad Anas
Papers
1
Total Citations
4
H-Index
1
About
Khan Mohammad Anas is a researcher at the forefront of soft robotics and additive manufacturing, specializing in the development of low-cost, sensor-embedded robotic systems. His most cited work, "A 3D Printed Robotic Finger with Embedded Tactile Pressure and Strain Sensor" (2020), demonstrates his innovative approach to integrating flexible piezoresistive polymers for pressure sensing and carbon-coated thread-based strain sensors directly into 3D-printed structures. This breakthrough enables the creation of affordable, customizable robotic fingers capable of tactile feedback and precise bending tracking. With 4 citations, this foundational paper has influenced subsequent research in soft robotics and human-machine interfaces. Anas’s contributions lie in bridging the gap between advanced sensing capabilities and accessible fabrication methods, making robotic components more practical for education, prototyping, and low-resource settings. His work exemplifies how combining 3D printing with embedded sensors can democratize robotics research, inspiring new directions in tactile sensing and soft actuator design.
Research Focus
Key Achievements
Top Papers
- 1