Searched for: subject%3A%22multi%255C-robot%255C+systems%22
(1 - 20 of 26)

Pages

document
Guillet, Victor (author)
This research addresses the process of task allocation in a heterogeneous multi-agent fleet through the introduction of a novel mechanism in existing decentralised consensus algorithms: bid intercession. Bid intercession refers to the principle of agents biding on behalf of other agents in decision-making architectures leveraging market-based...
master thesis 2023
document
Wu, Siyuan (author)
Recent progress in multiple micro aerial vehicle (MAV) systems has demonstrated autonomous navigation in static environments. Yet, there are limited works regarding the autonomous navigation of multiple MAVs in dynamic and unknown environments. The challenge arises from the complexity of the motion planning problem, which requires the MAVs to...
master thesis 2023
document
Ariana, Ramin (author)
Swarm robotics (SR) is an emerging field of research that utilizes a swarm of robots that work together as a team to solve complex problems. One such challenge in SR is the exploration of unknown environments to find multiple targets. This problem finds applications in various domains, such as archaeology, underground exploration, signal source...
master thesis 2023
document
LIU, Xinjie (author)
Many autonomous navigation tasks require mobile robots to operate in dynamic environments involving interactions between agents. Developing interaction-aware motion planning algorithms that enable safe and intelligent interactions remains challenging. Dynamic game theory renders a powerful mathematical framework to model these interactions...
master thesis 2023
document
Xin, Jianbin (author), Meng, Chuang (author), D'Ariano, Andrea (author), Schulte, F. (author), Peng, Jinzhu (author), Negenborn, R.R. (author)
This paper investigates a novel routing problem of a multi-robot station in a manufacturing cell. In the existing literature, the objective is to minimize the cycle time or energy consumption separately. The routing problem considered in this paper aims to reduce the cycle time and energy consumption jointly for each robot while avoiding...
journal article 2023
document
Ferranti, L. (author), Lyons, L. (author), Negenborn, R.R. (author), Keviczky, T. (author), Alonso-Mora, J. (author)
This work presents a method for multi-robot coordination based on a novel distributed nonlinear model predictive control (NMPC) formulation for trajectory optimization and its modified version to mitigate the effects of packet losses and delays in the communication among the robots. Our algorithms consider that each robot is equipped with an...
journal article 2023
document
Liu, Xinjie (author), Peters, L. (author), Alonso-Mora, J. (author)
Many autonomous agents, such as intelligent vehicles, are inherently required to interact with one another. Game theory provides a natural mathematical tool for robot motion planning in such interactive settings. However, tractable algorithms for such problems usually rely on a strong assumption, namely that the objectives of all players in...
journal article 2023
document
Serra Gomez, A. (author), Zhu, H. (author), Ferreira de Brito, B.F. (author), Böhmer, J.W. (author), Alonso-Mora, J. (author)
Decentralized multi-robot systems typically perform coordinated motion planning by constantly broadcasting their intentions to avoid collisions. However, the risk of collision between robots varies as they move and communication may not always be needed. This paper presents an efficient communication method that addresses the problem of “when...
journal article 2023
document
Kemmeren, Anne (author)
This thesis proposes a novel algorithm, Wi-Closure, to improve computational efficiency and robustness of map matching in multi-robot SLAM. Current state-of-the-art techniques connect maps with inter-robot loop closures, that are usually found through place recognition. Wi-Closure decreases the computational overhead of these approaches by...
master thesis 2022
document
Deaconu, Sebastian (author)
This paper analyzes how flocking behavior in fish can be used to develop target protection algorithms. This starts from the hypothesis that fish aggregate into coordinated flocks in order to protect themselves from predatory attacks. In order to test the protection capabilities of fish, a Prey-Predator instance is developed in which faults are...
bachelor thesis 2022
document
Zhu, H. (author)
Planning safe motions for multi-robot systems is crucial for deploying them in real-world applications such as target tracking, environmental monitoring, and multi-view cinematography. Traditional approaches mainly solve the multi-robot motion planning problem in a deterministic manner, where the robot states and system models are perfectly...
doctoral thesis 2022
document
Charitidou, Maria (author), Keviczky, T. (author)
Multiple robots are increasingly being considered in a variety of tasks requiring continuous surveillance of a dynamic area, examples of which are environmental monitoring, and search and rescue missions. Motivated by these applications, in this paper we consider the multi-robot persistent coverage control problem over a grid environment. The...
journal article 2022
document
Zhu, H. (author), Ferreira de Brito, B.F. (author), Alonso-Mora, J. (author)
In this paper, we present a decentralized and communication-free collision avoidance approach for multi-robot systems that accounts for both robot localization and sensing uncertainties. The approach relies on the computation of an uncertainty-aware safe region for each robot to navigate among other robots and static obstacles in the...
journal article 2022
document
Bai, C. (author), Yan, Peng (author), Pan, W. (author), Guo, Jifeng (author)
Multi-robot formation control has been intensively studied in recent years. In practical applications, the multi-robot system's ability to independently change the formation to avoid collision among the robots or with obstacles is critical. In this study, a multi-robot adaptive formation control framework based on deep reinforcement learning...
journal article 2022
document
Xin, Jianbin (author), Qu, Yaoguang (author), Zhang, Fangfang (author), Negenborn, R.R. (author)
Existing motion planning algorithms for multi-robot systems must be improved to address poor coordination and increase low real-time performance. This paper proposes a new distributed real-time motion planning method for a multi-robot system using Model Predictive Contouring Control (MPCC). MPCC allows separating the tracking accuracy and...
journal article 2022
document
Korthals Altes, Maurits (author)
The introduction of Robotic & Autonomous Systems (RAS) in modern combat seems inevitable, with clear advantages like reduced risk and extensification of personnel. To scope this research, persistent reconnaissance with heterogeneous Unmanned Aerial Vehicles (UAVs) is selected, being one of the more prominent applications. Despite continuous...
master thesis 2021
document
Ferreira de Brito, B.F. (author), Everett, Michael (author), How, Jonathan Patrick (author), Alonso-Mora, J. (author)
Robotic navigation in environments shared with other robots or humans remains challenging because the intentions of the surrounding agents are not directly observable and the environment conditions are continuously changing. Local trajectory optimization methods, such as model predictive control (MPC), can deal with those changes but require...
journal article 2021
document
Xin, J. (author), Meng, Chuang (author), Schulte, F. (author), Peng, Jinzhu (author), Liu, Yanhong (author), Negenborn, R.R. (author)
This article investigates a new collision-free routing problem of a multirobot system. The objective is to minimize the cycle time of operation tasks for each robot while avoiding collisions. The focus is set on the operation of the end-effector and its connected joint, and the operation is projected onto a circular area on the plane. We...
journal article 2020
document
Charitidou, Maria (author)
Recent advances on the design of autonomous mobile agents have motivated the use of the latter in persistent surveillance tasks with applications in agriculture, information gathering and search and rescue missions. In these tasks the goal is to design agents’ paths so as every point in the area of interest is covered more than once. In...
master thesis 2019
document
Meng, Chuang (author), Xin, J. (author), Peng, Jinzhu (author), Negenborn, R.R. (author)
In this paper, we study the collision-free routing of a multi-robot system to complete given tasks in the shortest time. In a robotic assembly unit, several stations work serially and in parallel. In a station, multiple robots share the same workspace and face the challenge of minimizing the cycle time and avoiding collisions at the same time...
conference paper 2019
Searched for: subject%3A%22multi%255C-robot%255C+systems%22
(1 - 20 of 26)

Pages