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Jamie Paik

Professor of Mechanical Engineering, Swiss Federal Institute of Technology · Founder and Director, Reconfigurable Robotics Lab · Inventor of Robogami robotic origami

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Jamie Paik portrait
What will automation look like when robots no longer need to look like us? Jamie Paik builds machines that fold, reshape and adapt, and shows leaders what truly adaptable automation makes possible.
Lausanne, Switzerland
Videos

Watch Jamie in Action

Stretching boundaries for flexible futures: Stephanie Lacour & Jamie Paik at TEDxHelvetia

September 2012

Bio

About Jamie Paik

Jamie Paik builds robots that refuse to hold a single shape. Paik designs soft and reconfigurable machines that transform themselves to match the task at hand. Her lab draws on multi-material fabrication and smart-material actuation to produce robots that push the physical limits of materials and mechanisms.

Paik has built robots across her whole career, first as a humanoid robotics engineer and then in soft, reconfigurable systems. She earned her Ph.D. sponsored by Samsung Electronics, designing a humanoid arm and hand; at 3.7 kilograms including its eight-degree-of-freedom hand, the arm was the lightest in the research literature at the time. During postdoctoral work in Paris, she developed JAiMY, internationally patented laparoscopic surgical tools now commercialized by ENDOCONTROL.

Topics

Jamie's Keynote Topics

Why Robots That Transform — Not Just Walk — Will Reshape Your Industry

Humanoid robots dominate headlines, with projections of a $38 billion market by 2035. But while the industry races to build robots that look like us, a parallel revolution is quietly unfolding — one that may prove even more transformative. Reconfigurable Robotics Lab founder and director Jamie Paik, Ph.D. has spent her career building robots: first as a humanoid robotics engineer, then as a pioneer in soft, reconfigurable systems. In this talk, she reveals why the future of automation isn’t just about making robots more human—it’s about making them more adaptable. Drawing on her experience bringing “robogami” technology from research lab to Mercedes-Benz concept cars, surgical tools, and space applications, she explores:

  • The Humanoid Promise—and Its Limits
  • The Case for Transformation
  • The Modular Advantage

Lessons From AI’s Limits and What They Mean for the Future of Work

The AI industry recently hit a surprising barrier: after years of exponential progress, simply adding more computing power and data is delivering diminishing returns. GPT models are plateauing. The “scaling wall” is real. Robotics is approaching the same inflection point—but few have recognized it yet. Reconfigurable Robotics Lab founder and director Jamie Paik, Ph.D., who built humanoid robots before pioneering soft, reconfigurable systems, reveals a fundamental truth: in both AI and robotics, more complexity doesn’t always mean better performance. Sometimes, it makes the problem worse. In this talk, she draws powerful parallels between the challenges facing large language models and the physical limits of robotic systems, offering a framework for thinking about the future of intelligent automation:

  • The Scaling Paradox
  • Intelligence vs. Capability
  • Preparing for the Next Wave
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