Stable Estimator of Dynamical System (SEDS)

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Introduces dynamical systems, equilibrium points, stability, vector fields, phase plots, and Lyapunov stability.

Covers Lyapunov stability analysis, focusing on Lyapunov functions and stability criteria in robotic systems.

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

Covers dynamical systems, equilibrium points, stability analysis, and phase plots using examples like the pendulum system.

Explores learning, adaptive control, cutting soft tissue, and robotic implementation for robots.

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

Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Delves into Human-Robot Interaction, student engagement, and learning analytics using multimodal data to enhance educational processes.

Delves into the definition and capabilities of robots based on various sources.

Explores motor learning strategies emphasizing stability and variability in skilled interactions with objects.