Robotics Basics: Definitions and Applications

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

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

Explores computational robot design, emphasizing co-optimization insights and the use of graph grammars for efficient design.

Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.

Explores the concept of robots, defined as mechatronic devices designed to automatically perform tasks imitating human actions.

Explores real-time operating systems and communication mechanisms for controlling robots.

Covers the integration of visual perception and robotic actions in embodied AI.

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

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

Explores hydraulic, pneumatic, and electromechanical actuators used in robotics, including stepper motors and specific energy comparisons.