A Quest for Machine Vision Intelligence by Professor Ping Luo

A Quest for Machine Vision Intelligence (December 20, 2021) Professor Ping Luo Department of Computer Science The University of Hong Kong Description Distinguished Scholar Sharing Series: In this talk, Professor Luo gives an overview of the history and development of deep learning in computer vision, and shares some of his recent work and experience of …

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Liquid Crystalline Polymer Composites As Smart Actuators

Conventional robots made of metals and ceramics are rigid. Although robust, they are often heavy, bulky, tethered and non-adaptive to environmental changes. Soft robots are light-weight, compliant, and adaptive, and can achieve multi-degrees of freedom. However, their softness makes it difficult to control the shape change and locomotion, or lift heavy weights.

To precisely and locally control the shapes and agile locomotion with considerable strains, we create thin films and filaments from liquid crystal elastomers (LCEs) and their composites with gold nanorods, carbon nanotubes, cellulose nanocrystals and conducting polymers. Through designs of geometric surface patterns, e.g. microchannels, we program the orientational elasticity in LCEs to direct folding of the 2D sheets into 3D shapes, which can be triggered by heat, light, and electric field. We then fabricate tendon-like filaments as high strength, dual-adaptive actuators in soft robotic applications, as well as programmable gaits to achieve different modes of locomotion.