Programming Thymio for Mathematical Tasks

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Learning Physically-Consistent Gaussian Mixture Model

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

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Proportional control: system behaviour impact

Explores the impact of proportional control design choice Kp on system behavior, stability, transient response, and steady-state offset.

Robot Control: Strategies and Controllers

Explores robot control strategies, decentralized controllers, and the role of P, PD, and PID controllers in position control of DC motors.

Force Control with Dynamical Systems

Covers compliant and force control for robots using Dynamical Systems.

Improving Robot Design: Data-Driven Approaches

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

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.

Robots: Safe Collaboration

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

Obstacle Avoidance with DS

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