Interactive and Environment-Aware Flying Robots

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Related lectures (31)

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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.

Force Control with Dynamical Systems

Covers compliant and force control for robots using Dynamical Systems.

Robot Learning and Control

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

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.

Deep Learning: Convolutional Neural Networks

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

Obstacle Avoidance with DS

Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.

Robots: Safe Collaboration

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

Improving Robot Design: Data-Driven Approaches

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

Motion Planning: Social & Ethical Awareness

Explores motion planning for autonomous vehicles with a focus on social and ethical considerations.