IFE Soft Robot Lab

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Soft Robot Sensing

Compliant strain sensors are crucial for soft robots to realize real-time sensing of various environmental stimuli as feedback to enhance robot perception and autonomy. However, the deformable nature of robot bodies and their dynamic actuation behaviors pose an urgent and challenging task in achieving predictive sensor manufacturing and long-term robustness for practical robot applications. Here, we focus on the development of accurate sensor modeling tools and well-controlled sensor dynamics.

Nature Communications, 2024, 15, 1636. Nature Machine Intelligence, 2022, 4, 84.

Soft Robot Communicating

Tight integration of advanced wireless communication techniques enable more efficientive cooperation among soft robots, posing urgent need of high performance flexible attennas. However, the-state-of-the-art flexible attennas usually showed limited stretchability, which hinder their application on highly elastic soft robot bodies. Here, we aim to developing mechanically resilient nanomaterials-based antennas for soft robots.

Science Robotics, 2019, 4, eaax7020.

Soft Robot Computing

Machine intelligence is significant for soft robot to respond smartly to the external world. To achieve the development goal of embodied intelligence on soft robots, fusing machine learning algorithms and edge computing techniques has shown its high potentials. However, it remains challgening to process high-throughput and noisy data by using edge chips with simple/small ML models in a power-efficient fashion.

Nature Communications, 2022, 13, 5311.

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