Research Methodology 

1. Multiscale  3D printing
2. Electrophysiology
3. 3D Scanning
4. Frugal Robotics
5. Finite Element Analysis & Multibody Dynamics

Multi-Scale 3D printing  

Utilizing agile 3D printing techniques in soft robotics is a promising avenue for enhancing sensing and actuation capabilities. This approach leverages multiscale printing technology, ranging from extrusion printing to SLA (Stereolithography) printing and even microscale laser lithography, to create soft robots with multifaceted sensing abilities. This multifaceted approach allows for the precise fabrication of components at various scales, enabling the integration of sensors that can capture a wide range of environmental data. By combining these advanced printing methods with innovative sensor designs, soft robots can achieve remarkable adaptability, responsiveness, and versatility, opening up new possibilities for applications in fields such as healthcare, exploration, and automation.

Electrophysiology 

I've developed expertise in intracellular and extracellular electrophysiology techniques for animals, plants, and fungi, honed through extensive experience, including sessions with snail brain, crawdad fish, and recording electrical phenomena in fungi and plant roots. In my future research, I aim to apply these skills to explore biohybrid sensing and unravel complex signaling pathways in living systems, offering innovative solutions.

1. Intracellular Electrophysiology
Intracellular electrophysiology studies electrical activities in plant and fungal cells, revealing how they respond to stimuli and communicate at the cellular level.
2. Extracellular Electrophysiology
Extracellular electrophysiology examines electrical activity outside plant and fungal cells, offering insights into their responses to environmental cues and interactions with neighboring organisms.
3. Multielectrode Electrophysiology
Multielectrode electrophysiology involves the use of multiple electrodes to simultaneously measure electrical activity in plants and fungi. This technique provides a comprehensive understanding of their electrical responses and behaviors.

3D Scanning 

Leveraging 3D scanning methods such as photogrammetry, laser scanning, and CT scanning is crucial for advancing the development of biomimetic soft robots. These techniques enable the precise capture of fine morphological details and biological features, allowing soft robots to closely mimic the form and function of natural organisms. By integrating these scanning technologies, soft robots can achieve a similar form factor and appearance to their biological counterparts, enhancing their ability to operate effectively in specific environments and perform tasks with a high degree of fidelity. This convergence of 3D scanning and soft robotics holds immense promise for applications in various fields, including healthcare, environmental monitoring, and research, where replicating biological features is essential for success.

Frugal Robotics

I am dedicated to implementing a frugal approach to developing robots for agriculture and healthcare. This approach strives to identify cost-effective and resource-efficient solutions in crafting soft robotics technology that can adeptly address the challenges within these sectors. The central strategy revolves around creating economically viable soft robots that are tailor-made for practical, real-world implementation. To realize this vision, I will leverage the capabilities of 3D printing and basic automation, facilitating streamlined and accurate manufacturing methods that seamlessly align with the frugal approach. Notably, this strategy holds profound significance in creating practical solutions for farmers and medical professionals, considering the diverse economic landscapes encompassing both developed and less affluent economies.

Finite Element Method and Multibody Dynamics

The Finite Element Method (FEM) and Multibody Dynamics (MBD) are computational techniques increasingly applied in the field of soft robotics. FEM enables the simulation of soft materials and structures by discretizing them into smaller elements, allowing for the analysis of complex deformations and interactions in soft robotic systems. On the other hand, MBD focuses on modeling the dynamic behavior of soft robots and their interactions with the environment, making it suitable for studying soft robot locomotion, manipulation, and control. By combining FEM and MBD, researchers and engineers can gain a comprehensive understanding of the mechanical and dynamic aspects of soft robotics, facilitating the design, optimization, and control of soft robotic systems.