Applications of Machine Learning

Related lectures (31)

Page 3 of 4

Covers computational methods for molecular systems at finite temperature, emphasizing stochastic sampling and time evolution simulations.

Discusses how robots manipulate objects using natural language instructions and integrates vision-language models for enhanced performance.

Covers the integration of visual perception and robotic actions in embodied AI.

Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.

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

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

Delves into developing intelligence systems for predicting human behavior and enhancing AI-driven technologies' safety and efficiency.

Explores trajectory generation in robot control, covering spatial aspects, interpolation methods, velocity profiles, and multi-connected points.

Covers fundamental principles, opportunities, and challenges in machine learning.

Explores learning and adaptive control for robots, focusing on challenges, path planning with dynamical systems, and real-time planning applications.