Lecture

Motor Intelligence for Soft Robots

Description

This lecture discusses the control challenge in soft robotic systems, emphasizing the need for a low-level artificial brain to execute precise motions and utilize the embedded intelligence in their structures. The speaker introduces a model-based view of the solution, combining simplified models with nonlinear control theory for dynamic task execution. Techniques involving data and machine learning are also explored.

Official source

https://mediaspace.epfl.ch/media/0_rwrf23v4

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Ontological neighbourhood

Mechanical engineering

Robotics: Topics in robotics

Information engineering

Control theory and engineering: Control theory

Mathematics

Geometry: Differential geometry

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