Understanding State Machine Concept

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Related lectures (31)

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Understanding State Machines

Explores the concept of state machines through controlling a robot.

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.

Robots: Safe Collaboration

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

Acquiring Data for Learning

Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.

Robot Learning and Control

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

Cooperation of Assistive Robots

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

Collaborative Robots in the Wild: Challenges and Future Directions

Explores challenges and future directions of collaborative robots in real-world scenarios from a human-centric perspective.

Learning Physically-Consistent Gaussian Mixture Model

Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.

Human Robot Interactions

Explores the importance of trust between humans and robots in scenarios like search and rescue.