89 citations · 156 across the 22 of their papers we have counts for
6 papers · 1 filter
Toward a Framework for Adaptive Impedance Control of an Upper-limb Prosthesis
Laura Ferrante, Mohan Sridharan, Claudio Zito +1
Adapting upper-limb impedance (i.e., stiffness, damping, inertia) is essential for humans interacting with dynamic environments for executing grasping or manipulation tasks. On the…
One-shot Learning for Autonomous Aerial Manipulation
Claudio Zito, Eliseo Ferrante
This paper is concerned with learning transferable contact models for aerial manipulation tasks. We investigate a contact-based approach for enabling unmanned aerial vehicles with…
Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks
Tarek Faycal, Claudio Zito
Neuroevolution has recently been shown to be quite competitive in reinforcement learning (RL) settings, and is able to alleviate some of the drawbacks of gradient-based approaches.…
Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees
Tarek Faycal, Claudio Zito
In this work we present a preliminary investigation of a novel algorithm called Dyna-T. In reinforcement learning (RL) a planning agent has its own representation of the environmen…
Multi-Hypothesis Scan Matching through Clustering
Giorgio Iavicoli, Claudio Zito
Graph-SLAM is a well-established algorithm for constructing a topological map of the environment while simultaneously attempting the localisation of the robot. It relies on scan ma…
Underwater Object Classification and Detection: first results and open challenges
Andre Jesus, Claudio Zito, Claudio Tortorici +2
This work reviews the problem of object detection in underwater environments. We analyse and quantify the shortcomings of conventional state-of-the-art (SOTA) algorithms in the com…