Can we predict the future?
That question has fascinated me since childhood. At first it felt like a dream, but over time I realized it was more than a curiosity. It became a framework for understanding the world: not just anticipating what will happen, but asking why it happens and learning how to shape outcomes through knowledge, science, and design.
This passion drew me to dynamics, the science of motion, and optimization, the art and science of finding the most effective path forward in a world full of trade-offs. Together, they became the foundation of my work in robotics, where every challenge is a balance between theory and reality.
Lessons in Focus and Resilience
Before robotics, my early experiences in competitive sports taught me the importance of precision, discipline, and resilience. Those lessons shaped the way I approached research. Success does not come from avoiding obstacles but from moving through them, learning at each step. This mindset became vital as I pursued increasingly ambitious projects in robotics.
Walking Robots and Early Discoveries
At Vanderbilt University, I was challenged to build a walking robot independently. What could have been an impossible task became a defining experience. The project was filled with setbacks, redesigns, and breakthroughs, but eventually the robot took its first steps. That moment was unforgettable, but even more important were the insights I gained about how to connect abstract theory with physical systems.
Crossing Disciplines for Innovation
My journey continued at the University of Edinburgh and the German Aerospace Center, where I worked across mechanical engineering and informatics. Our team developed control methods for the complex DLR Hand-Arm System, creating robotic motion that was remarkably lifelike. This work was later recognized with the IEEE Transactions on Robotics Best Paper Award, a milestone that reinforced my belief that innovation thrives at the intersection of disciplines.
Building a Foundation for the Next Generation
In Singapore, I had the opportunity to help establish a new university. It was a chance to think not only about research but also about how to shape an institution from the ground up. Alongside collaborators, I developed compliant actuators, novel robotic hardware, and real-time optimal control methods. These projects demonstrated how adaptive machines could better navigate the unpredictability of the real world. Building something that would outlast me, a place where innovation could grow, was as meaningful as the research itself.
The Boundaries of Robotics
Returning to Vanderbilt, my work turned toward human augmentation. I developed a theoretical framework for wearable devices that can enhance human performance without external power. The bicycle was my inspiration, a simple yet powerful example of how mechanics can amplify human capability. This research was published in Science Advances and featured in The Guardian and The Conversation US, reaching audiences beyond academia.
As a culmination of my academic work in the foundations of robotics, I received the National Science Foundation CAREER Award. For me, it was not a recognition of past achievements but a validation of the belief that rigorous, interdisciplinary science can expand the possibilities of robotics.
Looking Ahead: Beyond the Lab
Today, my focus is on advancing robotics beyond papers and prototypes to systems that perform reliably in real-world conditions. The future of robotics will not be defined solely by faster processors or larger datasets. It will be defined by how we design machines that adapt, learn, and operate under the constraints of unstructured environments.
My current work centers on creating adaptive hardware that improves performance, developing intelligent control methods that close the gap between simulation and deployment, and designing next-generation robotics platforms that translate theoretical advances into capability at scale.
What began as a childhood fascination with predicting the future has become a mission: to create it. That mission continues today, driven by the same curiosity and determination that set me on this path, and by a commitment to advance robotics toward systems that are adaptive, reliable, and transformative.