Wang Ruiming - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Wang Ruiming

Publications

3

Citations

12

Publications by Year

20162024

Co-Authors:

Shi BaozhuangWang JunruDai LinwangNicholas MillerYu Pengzhou

Show All Co-Authors (15)

Wang Ruiming

Affiliation

State Key Laboratory of Pulsed Power Laser Technology

College of Electronic Engineering

National University of Defense Technology, Hefei, China

Anhui Provincial Laboratory of Advanced Laser Technology

College of Electronic Engineering

National University of Defense Technology, Hefei, China

Publication Topics

Grid Code,
Grid Voltage,
Low Voltage,
Overvoltage,
Power Grid,
Voltage Drop,
Wind Power,
Wind Turbine,
Active Power Output,
Angular Frequency,
Cascading Failures,
Characteristic Components

Biography

Wang Ruiming is with the China Electric Power Research Institute, Beijing, China.(Based on document published on 19 October 2016).

Publications

3

Citations

12

Publications by Year

20162024

Co-Authors:

Shi Baozhuang
Wang Junru
Dai Linwang
Nicholas Miller
Yu Pengzhou

Show All Co-Authors (15)

Author's Published Works

Search History

Showing 1-25 of 62 results

Conferences (41)

Journals (19)

Early Access Articles (1)

Magazines (1)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Eduardo Montijano(60)
Carlos Sagüés(17)
Mac Schwager(13)
Carlos Sagues(13)
Eduardo Sebastián(12)
Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza, Zaragoza, Spain(10)
Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza, Spain(5)
Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Zaragoza, Spain(5)
Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain(4)
Department of Aeronautics and Astronautics, Stanford University, Stanford, CA, USA(4)
IEEE Transactions on Robotics(7)
2011 50th IEEE Conference on Decision and Control and European Control Conference(3)
IEEE Control Systems Letters(3)
IEEE Transactions on Automatic Control(3)
IEEE Transactions on Control Systems Technology(3)
IEEE(62)
Media(15)
Boston, MA, USA(3)
Orlando, FL, USA(3)
Abu Dhabi, United Arab Emirates(2)
Detroit, MI, USA(2)
Hamburg, Germany(2)
Swarm Robotics(18)
Communication Graph(13)
Undirected(11)
Distributed Algorithm(10)
Optimal Control(10)

Select All on Page

Sort By

Results

Distributed Discrete-Time Dynamic Outer Approximation of the Intersection of Ellipsoids

Eduardo Sebastián;Rodrigo Aldana-López;Rosario Aragüés;Eduardo Montijano;Carlos Sagüés

IEEE Transactions on Automatic Control

Year: 2025 | Early Access Article |

This paper presents the first discrete-time distributed algorithm to track the tightest ellipsoids that outer approximates the global dynamic intersection of ellipsoids. Given an undirected network, we consider a setup where each node measures an ellipsoid, defined as a time-varying positive semidefinite matrix. The goal is to devise a distributed algorithm to track the tightest outer approximatio...Show More

Distributed Discrete-Time Dynamic Outer Approximation of the Intersection of Ellipsoids

Eduardo Sebastián;Rodrigo Aldana-López;Rosario Aragüés;Eduardo Montijano;Carlos Sagüés

IEEE Transactions on Automatic Control

Year: 2025 | Early Access Article |

CLIPSwarm: Generating Drone Shows from Text Prompts with Vision-Language Models

Pablo Pueyo;Eduardo Montijano;Ana C. Murillo;Mac Schwager

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2024 | Conference Paper |

HTML

This paper introduces CLIPSwarm, a new algorithm designed to automate the modeling of swarm drone formations based on natural language. The algorithm begins by enriching a provided word, to compose a text prompt that serves as input to an iterative approach to find the formation that best matches the provided word. The algorithm iteratively refines formations of robots to align with the textual de...Show More

CLIPSwarm: Generating Drone Shows from Text Prompts with Vision-Language Models

Pablo Pueyo;Eduardo Montijano;Ana C. Murillo;Mac Schwager

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2024 | Conference Paper |

SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation

Sara Casao;Fernando Peña;Alberto Sabater;Rosa Castillón;Darío Suárez;Eduardo Montijano;Ana C. Murillo

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2024 | Conference Paper |

HTML

The increase in non-biodegradable waste is a worldwide concern. Recycling facilities play a crucial role, but their automation is hindered by the complex characteristics of waste recycling lines like clutter or object deformation. In addition, the lack of publicly available labeled data for these environments makes developing robust perception systems challenging. Our work explores the benefits of...Show More

SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation

Sara Casao;Fernando Peña;Alberto Sabater;Rosa Castillón;Darío Suárez;Eduardo Montijano;Ana C. Murillo

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2024 | Conference Paper |

Dynamics-Aware Fast Multi-Drone Exploration of Unknown Environments

Juan Zacarías Bardají;David Morilla-Cabello;Eduardo Montijano

2024 7th Iberian Robotics Conference (ROBOT)

Year: 2024 | Conference Paper |

HTML

Tasks such as surveillance, search and rescue operations, or disaster mapping require exploring unknown environments in the shortest possible time. Furthermore, when these tasks are performed by multiple robots, team coordination is crucial to achieve the desired efficiency. In this spirit, this paper proposes a method that introduces notions about each robot's dynamics into the planning process. ...Show More

Dynamics-Aware Fast Multi-Drone Exploration of Unknown Environments

Juan Zacarías Bardají;David Morilla-Cabello;Eduardo Montijano

2024 7th Iberian Robotics Conference (ROBOT)

Year: 2024 | Conference Paper |

Vision-Based Feedback on Correct Sensor Placement in Medical Studies

Nerea Gallego;Carlos Plou;Luis Montesano;Ana C. Murillo;Eduardo Montijano

2024 7th Iberian Robotics Conference (ROBOT)

Year: 2024 | Conference Paper |

HTML

Wearable sensors simplify complex tasks involving continuous monitoring of physiological and environmental data or user interaction with smart systems. Automatic recognition of correct placement of these sensors is essential in situations where non-expert users are employing them. However, this is a very challenging problem because of the different environment conditions, heterogeneous people feat...Show More

Vision-Based Feedback on Correct Sensor Placement in Medical Studies

Nerea Gallego;Carlos Plou;Luis Montesano;Ana C. Murillo;Eduardo Montijano

2024 7th Iberian Robotics Conference (ROBOT)

Year: 2024 | Conference Paper |

Perceptual Factors for Environmental Modeling in Robotic Active Perception

David Morilla-Cabello;Jonas Westheider;Marija Popović;Eduardo Montijano

2024 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2024 | Conference Paper |

Cited by: Papers (2)

HTML

Accurately assessing the potential value of new sensor observations is a critical aspect of planning for active perception. This task is particularly challenging when reasoning about high-level scene understanding using measurements from vision-based neural networks. Due to appearance-based reasoning, the measurements are susceptible to several environmental effects such as the presence of occlude...Show More

Perceptual Factors for Environmental Modeling in Robotic Active Perception

David Morilla-Cabello;Jonas Westheider;Marija Popović;Eduardo Montijano

2024 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2024 | Conference Paper |

Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization

Eduardo Sebastián;Mauro Franceschelli;Andrea Gasparri;Eduardo Montijano;Carlos Sagüés

IEEE Control Systems Letters

Year: 2024 | Volume: 8 | Journal Article |

Cited by: Papers (1)

HTML

This letter presents a novel accelerated distributed algorithm for unconstrained consensus optimization over static undirected networks. The proposed algorithm combines the benefits of acceleration from momentum, the robustness of the alternating direction method of multipliers, and the computational efficiency of gradient tracking to surpass existing state-of-the-art methods in convergence speed,...Show More

Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization

Eduardo Sebastián;Mauro Franceschelli;Andrea Gasparri;Eduardo Montijano;Carlos Sagüés

IEEE Control Systems Letters

Year: 2024 | Volume: 8 | Journal Article |

CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition

Pablo Pueyo;Juan Dendarieta;Eduardo Montijano;Ana Cristina Murillo;Mac Schwager

IEEE Transactions on Robotics

Year: 2024 | Volume: 40 | Journal Article |

Cited by: Papers (6)

HTML

We present CineMPC, a complete cinematographic system that autonomously controls a drone to film multiple targets recording user-specified aesthetic objectives. Existing solutions in autonomous cinematography control only the camera extrinsics, namely, its position and orientation. In contrast, CineMPC is the first solution that includes the camera intrinsic parameters in the control loop, which a...Show More

CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition

Pablo Pueyo;Juan Dendarieta;Eduardo Montijano;Ana Cristina Murillo;Mac Schwager

IEEE Transactions on Robotics

Year: 2024 | Volume: 40 | Journal Article |

ECO-DKF: Event-Triggered and Certifiable Optimal Distributed Kalman Filter Under Unknown Correlations

Eduardo Sebastián;Eduardo Montijano;Carlos Sagüés

IEEE Transactions on Automatic Control

Year: 2024 | Volume: 69, Issue: 4 | Journal Article |

Cited by: Papers (2)

HTML

This article presents ECO-DKF, the first Event-Triggered and Certifiable Optimal Distributed Kalman Filter. Our algorithm addresses two major issues inherent to distributed Kalman filters: fully distributed and scalable optimal estimation and reduction of the communication bandwidth usage. The first requires to solve an NP-hard optimization problem, forcing relaxations that lose optimality guarant...Show More

ECO-DKF: Event-Triggered and Certifiable Optimal Distributed Kalman Filter Under Unknown Correlations

Eduardo Sebastián;Eduardo Montijano;Carlos Sagüés

IEEE Transactions on Automatic Control

Year: 2024 | Volume: 69, Issue: 4 | Journal Article |

Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks

Eduardo Sebastián;Thai Duong;Nikolay Atanasov;Eduardo Montijano;Carlos Sagüés

2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)

Year: 2023 | Conference Paper |

HTML

The graph identification problem consists of discovering the interactions among nodes in a network given their state/feature trajectories. This problem is challenging because the behavior of a node is coupled to all the other nodes by the unknown interaction model. Besides, high-dimensional and nonlinear state trajectories make it difficult to identify if two nodes are connected. Current solutions...Show More

Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks

Eduardo Sebastián;Thai Duong;Nikolay Atanasov;Eduardo Montijano;Carlos Sagüés

2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)

Year: 2023 | Conference Paper |

Robust Fusion for Bayesian Semantic Mapping

David Morilla-Cabello;Lorenzo Mur-Labadia;Ruben Martinez-Cantin;Eduardo Montijano

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2023 | Conference Paper |

Cited by: Papers (4)

HTML

The integration of semantic information in a map allows robots to understand better their environment and make high-level decisions. In the last few years, neural networks have shown enormous progress in their perception capabilities. However, when fusing multiple observations from a neural network in a semantic map, its inherent overconfidence with unknown data gives too much weight to the outlie...Show More

Robust Fusion for Bayesian Semantic Mapping

David Morilla-Cabello;Lorenzo Mur-Labadia;Ruben Martinez-Cantin;Eduardo Montijano

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2023 | Conference Paper |

CineTransfer: Controlling a Robot to Imitate Cinematographic Style from a Single Example

Pablo Pueyo;Eduardo Montijano;Ana C. Murillo;Mac Schwager

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

HTML

This work presents CineTransfer, an algorithmic framework that drives a robot to record a video sequence that mimics the cinematographic style of an input video. We propose features that abstract the aesthetic style of the input video, so the robot can transfer this style to a scene with visual details that are significantly different from the input video. The framework builds upon CineMPC, a tool...Show More

CineTransfer: Controlling a Robot to Imitate Cinematographic Style from a Single Example

Pablo Pueyo;Eduardo Montijano;Ana C. Murillo;Mac Schwager

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2023 | Conference Paper |

LEMURS: Learning Distributed Multi-Robot Interactions

Eduardo Sebastián;Thai Duong;Nikolay Atanasov;Eduardo Montijano;Carlos Sagüés

2023 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

HTML

This paper presents LEMURS, an algorithm for learning scalable multi-robot control policies from cooperative task demonstrations. We propose a port-Hamiltonian description of the multi-robot system to exploit universal physical constraints in interconnected systems and achieve closed-loop stability. We represent a multi-robot control policy using an architecture that combines self-attention mechan...Show More

LEMURS: Learning Distributed Multi-Robot Interactions

Eduardo Sebastián;Thai Duong;Nikolay Atanasov;Eduardo Montijano;Carlos Sagüés

2023 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2023 | Conference Paper |

A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians

Sara Casao;Andrés Otero;Álvaro Serra-Gómez;Ana C. Murillo;Javier Alonso-Mora;Eduardo Montijano

2023 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2023 | Conference Paper |

Cited by: Papers (3)

HTML

Robotic applications involving people often require advanced perception systems to better understand complex real-world scenarios. To address this challenge, photo-realistic and physics simulators are gaining popularity as a means of generating accurate data labeling and designing scenarios for evaluating generalization capabilities, e.g., lighting changes, camera movements or different weather co...Show More

A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians

Sara Casao;Andrés Otero;Álvaro Serra-Gómez;Ana C. Murillo;Javier Alonso-Mora;Eduardo Montijano

2023 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2023 | Conference Paper |

Accelerated Multi-Stage Discrete Time Dynamic Average Consensus

Eduardo Sebastián;Eduardo Montijano;Carlos Sagüés;Mauro Franceschelli;Andrea Gasparri

IEEE Control Systems Letters

Year: 2023 | Volume: 7 | Journal Article |

Cited by: Papers (4)

HTML

This letter presents a novel solution for the discrete time dynamic average consensus problem. Given a set of time-varying input signals over the nodes of an undirected graph, the proposed algorithm tracks, at each node, the input signals’ average. The algorithm is based on a sequence of consensus stages combined with a second order diffusive protocol. The former overcomes the need of k-th order d...Show More

Accelerated Multi-Stage Discrete Time Dynamic Average Consensus

Eduardo Sebastián;Eduardo Montijano;Carlos Sagüés;Mauro Franceschelli;Andrea Gasparri

IEEE Control Systems Letters

Year: 2023 | Volume: 7 | Journal Article |

Distributed Outer Approximation of the Intersection of Ellipsoids

Rodrigo Aldana-López;Eduardo Sebastián;Rosario Aragüés;Eduardo Montijano;Carlos Sagüés

IEEE Control Systems Letters

Year: 2023 | Volume: 7 | Journal Article |

HTML

The outer Löwner-John method is widely used in sensor fusion applications to find the smallest ellipsoid that can approximate the intersection of a set of ellipsoids, described by positive definite covariance matrices modeling the quality of each sensor. We propose a distributed algorithm to solve this problem when these matrices are defined over the network’s nodes. This is of particular signific...Show More

Distributed Outer Approximation of the Intersection of Ellipsoids

Rodrigo Aldana-López;Eduardo Sebastián;Rosario Aragüés;Eduardo Montijano;Carlos Sagüés

IEEE Control Systems Letters

Year: 2023 | Volume: 7 | Journal Article |

Active Classification of Moving Targets With Learned Control Policies

Álvaro Serra-Gómez;Eduardo Montijano;Wendelin Böhmer;Javier Alonso-Mora

IEEE Robotics and Automation Letters

Year: 2023 | Volume: 8, Issue: 6 | Journal Article |

Cited by: Papers (3)

HTML

In this paper, we consider the problem where a drone has to collect semantic information to classify multiple moving targets. In particular, we address the challenge of computing control inputs that move the drone to informative viewpoints, position and orientation, when the information is extracted using a “black-box” classifier, e.g., a deep learning neural network. These algorithms typically la...Show More

Active Classification of Moving Targets With Learned Control Policies

Álvaro Serra-Gómez;Eduardo Montijano;Wendelin Böhmer;Javier Alonso-Mora

IEEE Robotics and Automation Letters

Year: 2023 | Volume: 8, Issue: 6 | Journal Article |

Sweep-Your-Map: Efficient Coverage Planning for Aerial Teams in Large-Scale Environments

David Morilla-Cabello;Luca Bartolomei;Lucas Teixeira;Eduardo Montijano;Margarita Chli

IEEE Robotics and Automation Letters

Year: 2022 | Volume: 7, Issue: 4 | Journal Article |

Cited by: Papers (10)

HTML

The efficiency of path-planning in robot navigation is crucial in tasks such as search-and-rescue and disaster surveying, but this is emphasized even more when considering multi-rotor aerial robots due to the limited battery and flight time. In this spirit, this work proposes an efficient, hierarchical planner to achieve comprehensive visual coverage of large-scale outdoor scenarios for small dron...Show More

Sweep-Your-Map: Efficient Coverage Planning for Aerial Teams in Large-Scale Environments

David Morilla-Cabello;Luca Bartolomei;Lucas Teixeira;Eduardo Montijano;Margarita Chli

IEEE Robotics and Automation Letters

Year: 2022 | Volume: 7, Issue: 4 | Journal Article |

CineMPC: Controlling Camera Intrinsics and Extrinsics for Autonomous Cinematography

Pablo Pueyo;Eduardo Montijano;Ana C. Murillo;Mac Schwager

2022 International Conference on Robotics and Automation (ICRA)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

HTML

We present CineMPC, an algorithm to autonomously control a UAV-borne video camera in a nonlinear Model Predicted Control (MPC) loop. CineMPC controls both the position and orientation of the camera-the camera extrinsics-as well as the lens focal length, focal distance, and aperture-the camera intrinsics. While some existing solutions autonomously control the position and orientation of the camera,...Show More

CineMPC: Controlling Camera Intrinsics and Extrinsics for Autonomous Cinematography

Pablo Pueyo;Eduardo Montijano;Ana C. Murillo;Mac Schwager

2022 International Conference on Robotics and Automation (ICRA)

Year: 2022 | Conference Paper |

Adaptive Multirobot Implicit Control of Heterogeneous Herds

Eduardo Sebastián;Eduardo Montijano;Carlos Sagüés

IEEE Transactions on Robotics

Year: 2022 | Volume: 38, Issue: 6 | Journal Article |

Cited by: Papers (8)

HTML

This article presents a novel control strategy to herd groups of noncooperative evaders by means of a team of robotic herders. In herding problems, the motion of the evaders is typically determined by strongly nonlinear and heterogeneous reactive dynamics, which makes the development of flexible control solutions a challenging problem. In this context, we propose Implicit Control, an approach that...Show More

Adaptive Multirobot Implicit Control of Heterogeneous Herds

Eduardo Sebastián;Eduardo Montijano;Carlos Sagüés

IEEE Transactions on Robotics

Year: 2022 | Volume: 38, Issue: 6 | Journal Article |

Nonlinear Implementable Control of a Dual Active Bridge Series Resonant Converter

Eduardo Sebastián;Eduardo Montijano;Estanis Oyarbide;Carlos Bernal;Rubén Gálvez

IEEE Transactions on Industrial Electronics

Year: 2022 | Volume: 69, Issue: 5 | Journal Article |

Cited by: Papers (12)

HTML

This article presents a novel control strategy for a dual active bridge series resonant converter. The strategy seeks to ensure the stability of the converter over its entire dynamic range while enhances the transient response. Both properties allow the use of the converter in new applications, where fast dynamics are required, surpassing the performance of existing feedback loops. Starting from t...Show More

Nonlinear Implementable Control of a Dual Active Bridge Series Resonant Converter

Eduardo Sebastián;Eduardo Montijano;Estanis Oyarbide;Carlos Bernal;Rubén Gálvez

IEEE Transactions on Industrial Electronics

Year: 2022 | Volume: 69, Issue: 5 | Journal Article |

All-in-one: Certifiable Optimal Distributed Kalman Filter under Unknown Correlations

Eduardo Sebastián;Eduardo Montijano;Carlos Sagüés

2021 60th IEEE Conference on Decision and Control (CDC)

Year: 2021 | Conference Paper |

Cited by: Papers (9)

HTML

The optimal fusion of estimates in a Distributed Kalman Filter (DKF) requires tracking of the complete network error covariance, problematic in terms of memory and communication. A scalable alternative is to fuse estimates under unknown correlations, doing the update by solving an optimisation problem. Unfortunately, this problem is NP-hard, forcing relaxations that lose optimality guarantees. Mot...Show More

All-in-one: Certifiable Optimal Distributed Kalman Filter under Unknown Correlations

Eduardo Sebastián;Eduardo Montijano;Carlos Sagüés

2021 60th IEEE Conference on Decision and Control (CDC)

Year: 2021 | Conference Paper |

Multi-robot Implicit Control of Herds

Eduardo Sebastián;Eduardo Montijano

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Cited by: Papers (5)

HTML

This paper presents a novel control strategy to herd a group of non-cooperative evaders by means of a team of robotic herders. In herding problems, the motion of the evaders is typically determined by strong nonlinear reactive dynamics, escaping from the herders. Many applications demand the herding of numerous and/or heterogeneous entities, making the development of flexible control solutions cha...Show More

Multi-robot Implicit Control of Herds

Eduardo Sebastián;Eduardo Montijano

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Distributed Multi-Target Tracking in Camera Networks

Sara Casao;Abel Naya;Ana C. Murillo;Eduardo Montijano

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Cited by: Papers (8)

HTML

Most recent works on multi-target tracking with multiple cameras focus on centralized systems. In contrast, this paper presents a multi-target tracking approach implemented in a distributed camera network. The advantages of distributed systems lie in lighter communication management, greater robustness to failures and local decision making. On the other hand, data association and information fusio...Show More

Distributed Multi-Target Tracking in Camera Networks

Sara Casao;Abel Naya;Ana C. Murillo;Eduardo Montijano

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Probabilistic Multi-Robot Path Planning with High-Level Specifications using Petri Net Models

Eduardo Montijano;Cristian Mahulea

2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

HTML

This paper considers the path planning problem of a multi-robot system in an uncertain environment with high-level specifications. The specification that the team of robots has to satisfy is given in form of a Boolean formula over the set of regions of interest. Opposed to the majority of solutions for this type of problem, in this paper we consider that the robots do not know with precision the l...Show More

Probabilistic Multi-Robot Path Planning with High-Level Specifications using Petri Net Models

Eduardo Montijano;Cristian Mahulea

2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)

Year: 2021 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.