Motion Planning: Social & Ethical Awareness

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Acquiring Data for Learning: Modern Approaches and Challenges

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

Neural Networks Optimization

Explores neural networks optimization, including backpropagation, batch normalization, weight initialization, and hyperparameter search strategies.

Robotics: The State!

Explores the state of robotics research, covering interdisciplinary challenges, sensor technologies, and human-robot collaboration architectures.

Deep Learning: Convolutional Neural Networks

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

Human Robotics: Sensory Augmentation and Interaction Mechanics

Delves into sensory augmentation and interaction mechanics in human robotics, covering haptic communication, motor interaction benefits, and differential game theory.

Basics of Mobile Robotics: Uncertainties

Explores the basics of mobile robotics, emphasizing uncertainties and the Bayes filter algorithm.

Controlling Behavior in Animals and Robots

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

Deep Splines: Unifying Framework for Deep Neural Networks

Introduces a functional framework for deep neural networks with adaptive piecewise-linear splines, focusing on biomedical image reconstruction and the challenges of deep splines.

Deep Learning: Convolutional Neural Networks

Introduces Convolutional Neural Networks, explaining their architecture, training process, and applications in semantic segmentation tasks.

Sensing in HRI

Explores human and robot haptics, techniques in Biomechatronics, and applications in EMG and REHAssist.