Robotics Control: Cascaded Controllers and Dynamic Models

Related lectures (31)

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Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.

Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.

Covers layered control architectures from vertebrates to robots, including deliberative control and its drawbacks.

Explores autonomous robotics, covering kinematics, control, position control, modeling, linearization, and feedforward compensation.

Explores the journey of an independent inventor in the robotics industry, from patenting to commercializing a new industrial robot technology.

Explores coupled and uncoupled dynamical systems, stability, hand-arm coupling, and adaptation in robotics.

Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.

Explores the implementation approaches for dynamic modeling of robots, focusing on optimization and simplification techniques.

Explores the state of robotics research, covering interdisciplinary challenges, sensor technologies, and human-robot collaboration architectures.

Explores learning and adaptive control for robots, focusing on challenges, path planning with dynamical systems, and real-time planning applications.