Robotics Software Components

Related lectures (31)

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Explores autonomy, sensor classification, and reactive architectures in mobile robotics using the perception-to-action loop.

Explores challenges and future directions of collaborative robots in real-world scenarios from a human-centric perspective.

Covers the basics of robotics, classifications, performances, and control algorithms in the manufacturing industry.

Explores robot control strategies, decentralized controllers, and the role of P, PD, and PID controllers in position control of DC motors.

Covers the basics of a T-MU robot, Arduino, and introduces robot behavior programming.

Explores the basics of mobile robotics, emphasizing uncertainties and the Bayes filter algorithm.

Delves into the definition and capabilities of robots based on various sources.

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

Explores the paradigm shift in robotic design towards highly predictable and programmable robots with augmented performance.

Explores learning and adaptive control for robots, emphasizing modulation of dynamical systems to improve stability and enable reactive motion.