
Advanced aspects of Soft Robotics
This advanced course delves into the cutting-edge aspects of soft robotics, exploring sophisticated materials, actuation mechanisms, control strategies, and complex applications. It covers advanced topics such as bioinspired design, machine learning for adaptive control, and the integration of living tissues with soft robotic systems. The course emphasizes the modeling, simulation, and prototyping of soft robots for real-world applications in healthcare, manufacturing, exploration, and more.
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Course Duration:
33 hours
Level:
Advanced

Course Objectives
Explore advanced materials and actuation technologies in soft robotics.
Develop expertise in the modeling, simulation, and control of soft robotic systems.
Apply machine learning and adaptive control techniques to soft robots.
Understand biohybrids and bioinspired design principles.
Examine the challenges and opportunities in soft robotics applications across industries.
Engage in a final project that involves the design and prototyping of an advanced soft robot.
Prerequisites
Strong background in robotics, mechanical engineering, or materials science.
Familiarity with basic control theory and programming (C++ or Python).
Experience with CAD software and 3D modeling tools.
Basic understanding of robotics modeling and simulation (e.g., finite element analysis).
