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Input and Output Principles
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Related lectures (30)
Basics of Mobile Robotics: Uncertainties
Explores the basics of mobile robotics, emphasizing uncertainties and the Bayes filter algorithm.
Learning Physically-Consistent Gaussian Mixture Model
Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.
Robot Characteristics
Explores the characteristics and features of a ground robot, including sensors and additional functionalities.
Introduction to Robot Programming
Covers the essential components of a robot and various programming languages available for robots.
Basics of Mobile Robotics: Components and Control
Covers the components and challenges of mobile robot control, including mechanics, locomotion, sensors, and architectures.
Definition of Robots
Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.
Center Pathet Generators for Agile Locomotion
Explores the use of Center Pathet Generators for agile locomotion in medium-sized robots.
Interactive and Environment-Aware Flying Robots
Explores interactive and environment-aware flying robots, covering wind prediction, autonomous flight, control strategies, challenges faced by omnidirectional drones, and advanced technologies.
Learning and Adaptive Control for Robots: Overview and Path Planning
Explores learning and adaptive control for robots, focusing on challenges, path planning with dynamical systems, and real-time planning applications.
Interpersonal Manual Tasks: Human-Robot Interactions
Delves into human-robot interactions through interpersonal manual tasks, revealing insights on performance differences and adaptation in human behavior.
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