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Signals, Instruments, and Systems
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Related lectures (31)
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Learning Physically-Consistent Gaussian Mixture Model
Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.
Robot Learning and Control
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Force Control with Dynamical Systems
Covers compliant and force control for robots using Dynamical Systems.
Embracing Complexity for Enduring and Adaptive Robots
Delves into the necessity of complex organ systems in robots to enhance their abilities and lifespan.
Neural Signals and Signal Processing
Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Neural Signals and Signal Processing
Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.
Center Pathet Generators for Agile Locomotion
Explores the use of Center Pathet Generators for agile locomotion in medium-sized robots.
Neural Signals and Signal Processing: Hemodynamic Imaging
Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.
Robot Simulation and Programming
Covers the basics of robot simulation and programming using Webots.
Robotics Basics: Definitions and Applications
Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.
