4 papers · 1 filter
Learning global control of underactuated systems with Model-Based Reinforcement Learning
Niccolò Turcato, Marco Calì, Alberto Dalla Libera +3
This short paper describes our proposed solution for the third edition of the "AI Olympics with RealAIGym" competition, held at ICRA 2025. We employed Monte-Carlo Probabilistic Inf…
Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition
Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera +17
In the field of robotics many different approaches ranging from classical planning over optimal control to reinforcement learning (RL) are developed and borrowed from other fields…
DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly
Giulio Giacomuzzo, Matteo Terreran, Siddarth Jain +1
This paper proposes a task planning framework for collaborative Human-Robot scenarios, specifically focused on assembling complex systems such as furniture. The human is characteri…
Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators
Mohamed Abdelwahab, Giulio Giacomuzzo, Alberto Dalla Libera +1
The ability to achieve precise and smooth trajectory tracking is crucial for ensuring the successful execution of various tasks involving robotic manipulators. State-of-the-art tec…