Prior to starting my doctoral studies, I greatly enjoyed my time in sunny Singapore, where I completed my master's degree in mechanical engineering at NUS, and my bachelor's degree in aerospace engineering (with minor in applied physics) at NTU. I was fortunate to do my master's research on octopus arm modeling under the supervision of Prof. Cecilia Laschi and Prof. Gianmarco Mengaldo. I also spent some time as an ETH Robotics Student Fellow at the Soft Robotics Laboratory, ETH Zürich and as a visiting researcher at the MOX Laboratory, Politecnico di Milano.
Please feel free to email me if you would like to discuss my research, your research, any potential collaborations or if you have any questions 😊
I'm interested in soft and biohybrid robots, high-fidelity computational modeling and muscle biomechanics. Nature exhibits remarkable embodied intelligence, and I see computational modeling as a powerful tool to create a bridge for knowledge transfer between soft robotics and nature. More specifically, I want to use modeling to understand the embodied intelligence underlying soft biological systems and their biomechanical principles, so that we can use them to inform the design of more lightweight, compliant and mechanically intelligent assistive soft robots. My research up till now has been focused on modeling the octopus arm to understand how its muscle activation and architecture is linked to its deformation. Along with numerical models, I have also worked on understanding the environemntal interactions (fluid dynamics) of an octopus-inspired soft robot arm, along with a touch of computer vision for extracting octopus arm kinematics. With the ETH Soft Robotics Laboratory, I am working on developing 3-D flow solvers for biohybrid robots.
News
09/05/2025: Our workshop on the future of computational modeling's role in advancing soft robotics is accepted to IROS 2025. See you in Hangzhou!
30/04/2025: Graduated from NUS with my master's degree with my thesis approved! Paper on high-fidelity octopus arm modeling coming soon!
17/02/2025: I have been awarded the Max Planck-ETH Center for Learning Systems Doctoral Fellowship to pursue my PhD at ETH Zürich and the Max Planck Institute for Intelligent Systems.
Presented previously at RoboSoft 2024, Embodied Intelligence Conference 2024 and WCCM-PANACM 2024
RoboSoft Poster
A high-fidelity computational model of the octopus arm, with implementation of all major arm muscle fibers. Muscles are activated by active stresses, and applying experimentally established activation sequences produce stereotypical motions as seen in real octopuses.
Presented previously at Gordon Research Conference on Robotics, 2024
My role in this project involved designing and conducting the fluid dynamics analysis of a soft robot arm performing octopus arm reaching motion. Understanding the flow physics of the soft arm will provide insights into how drag is minimized and how flow structures evolve during reaching motion.
Kinematics of octopus arm reaching follow stereotypical profiles invariant across scales and species, though such data is rarely available in open literature. We developed an automatic, markerless algorithm to segment octopus arms from reaching videos. This algorithm extracts key kinematic data from the segmented videos to provide benchmarks for simulations and experiments.
Developing a fast, 3-D Eulerian fluid solver to couple with the ETH Zürich Soft Robotics Laboratory's in-house soft body simulation code, tailored for biohybrid robots. Turns out, pressure projection (aka mass conservation) in a Navier-Stokes solve can be treated as a minimization problem to advance the simulation.
Tennis: I've been playing for 14 years and coaching for the last 2. I’m grateful to have competed at the national level in India, and represented NTU and NUS.
Reading: I enjoy a wide range of genres, and have recently developed a taste for philosophy.
Politics: I follow both local and global political developments with keen interest.
Food: It would be hard to overstate my love for all sorts of cuisines and food.