23 citations · 65 across the 10 of their papers we have counts for
11 papers
End-to-End Safe Social Navigation via Multi-Task Reinforcement Learning and Probabilistic Perception
Tommaso Van Der Meer, Tommaso Van Der Meer Andrea Garulli, Andrea Garulli +4
Autonomous social navigation requires balancing efficiency, physical safety, and social compliance. Reinforcement Learning (RL) methods provide a viable and effective solution but…
Learning Social Robot Navigation By Sensing Human Legs
Alberto Vaglio, Andrea Garulli, Antonio Giannitrapani +2
Robots navigating among pedestrians typically sense their surroundings with a 2D LiDAR mounted close to the ground. At that height, the sensor mostly sees moving legs rather than w…
Data-Driven Robust Predictive Control with Interval Matrix Uncertainty Propagation
Renato Quartullo, Andrea Garulli, Mirko Leomanni
This paper presents a new data-driven robust predictive control law, for linear systems affected by unknown-but-bounded process disturbances. A sequence of input-state data is used…
Robust Model Predictive Control for Linear Systems with Interval Matrix Model Uncertainty
Renato Quartullo, Andrea Garulli, Mirko Leomanni
This paper proposes a novel robust Model Predictive Control (MPC) scheme for linear discrete-time systems affected by model uncertainty described by interval matrices. The key feat…
Time-Optimal Model Predictive Control for Linear Systems with Multiplicative Uncertainties
Renato Quartullo, Andrea Garulli, Mirko Leomanni
This paper presents a time-optimal Model Predictive Control (MPC) scheme for linear discrete-time systems subject to multiplicative uncertainties represented by interval matrices.…
A Comparative Study of Human Motion Models in Reinforcement Learning Algorithms for Social Robot Navigation
Tommaso Van Der Meer, Andrea Garulli, Antonio Giannitrapani +1
Social robot navigation is an evolving research field that aims to find efficient strategies to safely navigate dynamic environments populated by humans. A critical challenge in th…
Robust Variable-Horizon MPC with Adaptive Terminal Constraints
Renato Quartullo, Gianni Bianchini, Andrea Garulli +1
This paper presents a novel robust variable-horizon model predictive control scheme designed to intercept a target moving along a known trajectory, in finite time. Linear discrete-…
Learning-based Parameter Optimization for a Class of Orbital Tracking Control Laws
Gianni Bianchini, Andrea Garulli, Antonio Giannitrapani +2
This paper presents a machine learning approach for tuning the parameters of a family of stabilizing controllers for orbital tracking. An augmented random search algorithm is deplo…
Variable-Horizon Guidance for Autonomous Rendezvous and Docking to a Tumbling Target
Mirko Leomanni, Renato Quartullo, Gianni Bianchini +2
In this paper, the trajectory planning problem for autonomous rendezvous and docking between a controlled spacecraft and a tumbling target is addressed. The use of a variable plann…
Optimal Low-Thrust Orbit Transfers Made Easy: A Direct Approach
Mirko Leomanni, Gianni Bianchini, Andrea Garulli +1
The optimization of low-thrust, multi-revolution orbit transfer trajectories is often regarded as a difficult problem in modern astrodynamics. In this paper, a flexible and computa…
Satellite Relative Motion Modeling and Estimation via Nodal Elements
Mirko Leomanni, Andrea Garulli, Antonio Giannitrapani +1
In this paper, a new parametrization of the relative motion between two satellites orbiting a central body is presented. The parametrization is based on the nodal elements: a set o…