Preparing your Path…
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Path Catalog
Data is pulled live from GET /api/v1/paths, and only Paths with a published version are listed.
7801 Paths · page 276 / 781
This path equips graduate students with the knowledge to design control systems for autonomous vehicles, covering perception, sensor fusion, path planning, and control. It builds from foundational concepts in vehicle dynamics and robotics to advanced topics in state estimation and robust control, culminating in a project that integrates all components.
This advanced graduate-level path equips learners to design and analyze biomechatronic interfaces, medical devices, and rehabilitation systems. It builds from core mechatronics and human physiology through sensing, actuation, and control, culminating in integrated system design and real-world applications.
This graduate-level path provides a comprehensive understanding of MEMS technology within the mechatronics context. It covers fundamental fabrication processes, transduction principles, design considerations, and applications, with a special focus on MEMS sensors. The path builds from basic microelectronics and materials science to advanced topics in microfabrication and system integration.
A graduate-level learning path covering the foundational principles and applications of soft robotics, including soft actuators, materials, control, and real-world applications. Learners will explore the unique characteristics of soft robots and the interdisciplinary knowledge required to design and control them.
This learning path equips engineers and entrepreneurs with the knowledge to protect mechatronic innovations. It covers patents, trademarks, trade secrets, and IP strategy, emphasizing practical application in mechatronics design and business.
This path equips test engineers with the skills to calibrate sensors, identify system parameters, and tune PID controllers for optimal mechatronic performance. It covers the essential theory and practical methods for systematic testing and validation.
This learning path equips automation engineers with the knowledge and skills to apply machine vision in mechatronic contexts. It covers camera selection, image processing, object recognition, and inspection techniques, with a focus on practical integration with sensors and control systems.
This learning path equips system engineers with the knowledge to design pneumatic and hydraulic systems for mechatronic applications. It covers fluid power fundamentals, component selection, circuit design, control strategies, and system sizing, culminating in a capstone design project.
This path equips automation engineers with a deep understanding of industrial communication protocols, including fieldbuses and industrial Ethernet. It covers fundamental concepts, key protocols, and practical considerations for designing and troubleshooting industrial networks.
This learning path equips safety engineers with the knowledge and skills to ensure the safety and reliability of mechatronic systems. It covers hazard analysis, FMEA, fault tree analysis, fail-safe design, and system integration, providing a systematic approach to mitigating risks in complex electromechanical systems.