Distributed Intelligent Systems: General Concepts and Mobile Robotics

Related lectures (32)

Focuses on developing an autonomous service robot for the RoboCup@Home competition.

Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.

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

Covers the basics of robot simulation and programming using Webots.

Covers the components and challenges of mobile robot control, including mechanics, locomotion, sensors, and architectures.

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

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

Explores the importance of trust between humans and robots in scenarios like search and rescue.

Explores computational robot design, morphological intelligence, simulation, and innovative contact dynamics solutions.

Explores autonomy in mobile robotics, high-fidelity simulation, control architectures, and real-time emulation.

Explores data-driven approaches to improve robot design, focusing on compliance, soft materials, and complex interactions.

Covers global navigation, path planning algorithms, cell decomposition, potential field methods, and stigmergy-based path optimization.

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