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SES 2024 Call for abstract: MS 5.6 Intelligent Structures for Robotics

Dear Colleagues,

We would like to invite you to submit abstracts and attend the mini-symposium 5.6 Intelligent Structures for Robotics in the 2024 SES Annual Techinical Meeting, August 20-23, 2024, Hangzhou, China.

Abstract can be submitted via this link and is due April 10, 2024. 

5.6 Intelligent Structures for Robotics

Structures are the foundation of functions. With the recent advances of intelligent structures, the field of robotics is undergoing a transformative shift towards unprecedented adaptivity and multifunctionality. Moving beyond the constraints of traditional structured materials with fixed post-manufacture properties, these intelligent systems are characterized by their ability to automatically respond to environmental stimuli, leading to nature-inspired capabilities such as shape-morphing, stiffness variation, and self-sensing. This adaptability is achieved through the intricate hierarchical design from micro- to macrostructures and the strategic selection of constituent materials. As such, robots are being endowed with enhanced capabilities to sense, react, and interact with their surroundings in an intrinsic and passive manner, closely mirroring the responsive nature of living organisms. The integration of such intelligent structures with advanced artificial intelligence algorithms promises the autonomy and functionality of robotic systems that can seamlessly integrate into human environments, augmenting capabilities, making them more robust, efficient, and suitable for a wide range of applications, including healthcare, manufacturing, and disaster response.

The aim of this symposium is to bring together leading experts from mechanics, robotics, physics, material science, and other related fields to promote research in this emerging field and foster cross-disciplinary collaboration and innovation. Topics addressed in this symposium will include but are not limited to:

● Shape-morphing and deployable structures

● Structures with tunable mechanical properties

● Computational design and optimization of intelligent structures

● Mechanical computation and information storage;

● Additive manufacturing of multi-functional or multi-material structures

● AI and Data-driven for intelligent structures

● Intelligent structures with robotic functions


● Mingchao Liu, University of Birmingham,

● Yifan Wang, Nanyang Technological University,

● Ke Liu, Peking University,

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