Leading Research Institutions Unite to Advance Soft Robotics and Physical AI
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In recent years, advancements in large models have enhanced machines' language, visual, and reasoning capabilities. Concurrently, robotics is transitioning from traditional rigid systems to more flexible, perceptive forms. A significant intersection is emerging between Physical AI and Soft Robotics, prompting a shift in focus towards integrating materials, structures, mechanics, and perception systems into robotic intelligence.
In 2026, the prestigious journal ACS Nano will publish a collaborative article by 37 scientists from 28 global research institutions, including Nanyang Technological University, Hebrew University of Jerusalem, MIT, ETH Zurich, Tsinghua University, Cornell University, and Northwestern University. The article, titled "Emerging Frontiers and Technological Challenges in Soft Robotics," will explore the paradigm shift in soft robotics and outline key scientific questions and technological challenges for the future.
This article not only serves as a roadmap for soft robotics technology but also points towards a broader future of Embodied Physical Intelligence, where the body itself becomes part of the intelligence. The research framework connects fundamental scientific questions with cutting-edge studies in soft robotics, focusing on issues related to intelligence, perception, functionality, and adaptability, which are crucial for overcoming key technical challenges in deployment and integration.
Original report
Top Institutions Collaborate on the Future of Soft Robotics: Enabling Bodies to Think Independently
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