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Lecture
Basics of Mobile Robotics: Localization
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Related lectures (31)
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Active Map Building: Exploration
Explores the basics of Simultaneous Localization and Mapping (SLAM), focusing on map creation techniques and prediction of measurements.
Robot Localization: Positioning Systems and Odometry
Explores robot localization through positioning systems, odometry, sensor fusion, and error modeling.
Basics of Mobile Robotics: Components and Control
Covers the components and challenges of mobile robot control, including mechanics, locomotion, sensors, and architectures.
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.
Perceptual Robotics: Integrating Vision and Action
Covers the integration of visual perception and robotic actions in embodied AI.
Embracing Complexity for Enduring and Adaptive Robots
Delves into the necessity of complex organ systems in robots to enhance their abilities and lifespan.
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.
Force Control with Dynamical Systems
Covers compliant and force control for robots using Dynamical Systems.
Compliant Control for Robots: Impedance and Variable Stiffness
Explores compliant control for robots through impedance and variable stiffness, enabling safe and adaptive interactions with the environment.
Improving Robot Design: Data-Driven Approaches
Explores data-driven approaches to improve robot design, focusing on compliance, soft materials, and complex interactions.
