Distributed Intelligent Systems: Division of Labor and Multi-Robot Coordination

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 3 of 4

Computational Complexity

Covers the basics of computational complexity, including big O notation and complexity classes.

Algorithmic Complexity: Travel Time Analysis

Covers algorithmic complexity and travel time analysis, focusing on measuring the time taken by algorithms and evaluating their performance.

Ecological Transition: Theory and Practice

Explores the ecological transition towards a sustainable society, analyzing indicators like ecological footprint and Human Development Index, emphasizing social justice and innovation.

Robot Learning and Control

Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.

Naive Bayes: Gaussian Discriminant Analysis

Covers the Naive Bayes assumption, Gaussian Discriminant Analysis, ML estimates, and Kernel trick.

Direct Methods for Linear Equations

Covers direct methods for solving linear equations and computation complexity of substitution.

Subquadratic Attention Mechanisms: State Space Models Overview

Covers subquadratic attention mechanisms and state space models, focusing on their theoretical foundations and practical implementations in machine learning.

Least Mean Squares with Features

Covers the concept of Least Mean Squares (LMs) with features and iterative updates.

Robots: Safe Collaboration

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

Quantifier Elimination Steps for Presburger Arithmetic

Explores quantifier elimination steps for Presburger Arithmetic, emphasizing techniques to simplify and eliminate quantifiers efficiently.