6 papers
Entanglement-Free Trajectory Planning for Tethered Mobile Robots with a Slack Tether
Gianpietro Battocletti, Dimitris Boskos, Bart De Schutter
In motion planning algorithms for tethered mobile robots, the entanglement state of the tether is a critical aspect to consider during the planning phase. This is particularly impo…
Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
Samuel Mallick, Gianpietro Battocletti, Dimitris Boskos +2
Cooperative control of groups of autonomous vehicles (AVs), i.e., platoons, is a promising direction to improving the efficiency of autonomous transportation systems. In this conte…
Model Predictive Control for Cooperative Docking Between Autonomous Surface Vehicles with Disturbance Rejection
Gianpietro Battocletti, Dimitris Boskos, Bart De Schutter
Uncrewed Surface Vehicles (USVs) are a popular and efficient type of marine craft that find application in a large number of water-based tasks. When multiple USVs operate in the sa…
Efficient Computation of a Continuous Topological Model of the Configuration Space of Tethered Mobile Robots
Gianpietro Battocletti, Dimitris Boskos, Bart De Schutter
Despite the attention that the problem of path planning for tethered robots has garnered in the past few decades, the approaches proposed to solve it typically rely on a discrete r…
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear Selection
Samuel Mallick, Gianpietro Battocletti, Qizhang Dong +2
Co-optimization of both vehicle speed and gear position via model predictive control (MPC) has been shown to offer benefits for fuel-efficient autonomous driving. However, optimizi…
Entanglement Definitions for Tethered Robots: Exploration and Analysis
Gianpietro Battocletti, Dimitris Boskos, Domagoj ToliÄ +2
In this article we consider the problem of tether entanglement for tethered mobile robots. One of the main risks of using a tethered connection between a mobile robot and an anchor…