Trajectory Generation: Basics and Profiles

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Related lectures (31)

Page 2 of 4

Introduces Lagrange interpolation for approximating data points with polynomials, discussing challenges and techniques for accurate interpolation.

Force Control with Dynamical Systems

Covers compliant and force control for robots using Dynamical Systems.

Robotics: Actuation and Mobility Analysis

Covers corrected exercises from the 2020 exam in the field of robotics, including topics such as accuracy, speed, DC motors, optimal gear ratio, dynamics of robot arms, encoders, and kinematics.

Robot Learning and Control

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

Polynomial Interpolation: Optimizing Error

Covers the optimization of error in polynomial interpolation, focusing on minimizing the error by strategically placing interpolation points.

Computational Robot Design: Morphological Intelligence and Simulation

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

Bayes Risk and Generalization in Machine Learning

Explores Bayes risk, generalization, error rates, and interpolation methods in machine learning.

Improving Robot Design: Data-Driven Approaches

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

Cooperation of Assistive Robots

Explores the cooperation of assistive robots in improving nursing care productivity and creating a vibrant society by 2050.

Interpolation de fonction

Explores interpolation of regular functions, error analysis, convergence, and Chebyshev polynomials.