Search · four archives
Search · four archives
15 papers · ranked by Valyu relevance
Vivian Cremer Kalempa, Luis Piardi, Marcelo Limeira, André Schneider de Oliveira + 3 more
'André Schneider de Oliveira' 'Hilde Perez' 'Javier Díez-González' 'Rubén Álvarez'] This paper presents a novel approach for Multi-Robot Task Allocation (MRTA) that introduces priority policies on preemptive task scheduling and considers dependencies between tasks, and tolerates faults. The approach is referred to as…
Jose Guerrero, Gabriel Oliver, Oscar Valero, Long Wang
Multi-robot task allocation is one of the main problems to address in order to design a multi-robot system, very especially when robots form coalitions that must carry out tasks before a deadline. A lot of factors affect the performance of these systems and among them, this paper is focused on the physical interference…
James Orr, Ayan Dutta, David Cheneler, Stephen Monk
Deep reinforcement learning has produced many success stories in recent years. Some example fields in which these successes have taken place include mathematics, games, health care, and robotics. In this paper, we are especially interested in multi-agent deep reinforcement learning, where multiple agents present in the…
Mete Özbaltan, Nihan Özbaltan, Hazal Su Bıçakcı Yeşilkaya, Murat Demir + 3 more
'Murat Demir' 'Cihat Şeker' 'Merve Yıldırım' 'Xiaojie Wang'] Task scheduling for multiple humanoid robot manipulators in industrial and collaborative settings remains a significant challenge due to the complexity of coordination, resource sharing, and real-time decision-making. In this study, we propose a framework for…
Dominik Zaborniak, Paweł Kasza, Marcin Pazera, Marcin Witczak + 4 more
Efficient task assignment for mobile robots is a crucial challenge in modern intralogistics. This paper presents an integrated cyber-physical framework combining predictive tree search on switching max-plus linear systems with a physical IoT-based dispatch interface. The scheduling problem is modelled as a discrete…
Youdong Yuan, Ping Yang, Hanbing Jiang, Tiange Shi + 2 more
'Gang Hu'] Addressing challenges in the traditional K-means algorithm, such as the challenge of selecting initial clustering center points and the lack of a maximum limit on the number of clusters, and where the set of tasks in the clusters is not reasonably sorted after the task assignment, which makes the cooperative…
Nayyer Fazal, Muhammad Tahir Khan, Shahzad Anwar, Javaid Iqbal + 2 more
'Shahbaz Khan' 'Mohd Nadhir Ab Wahab'] Task allocation is a fundamental requirement for multi-robot systems working in dynamic environments. An efficient task allocation algorithm allows the robots to adjust their behavior in response to environmental changes such as fault occurrences, or other robots’ actions to…
Omer Melih Gul, Sebastian Bader
In this work, we investigate an energy-aware multi-robot task-allocation (MRTA) problem in a cluster of the robot network that consists of a base station and several clusters of energy-harvesting (EH) robots. It is assumed that there are $(M+1)$ robots in the cluster and M tasks exist in each round. In the cluster, a…
Andrea Pupa, Wietse Van Dijk, Christiaan Brekelmans, Cristian Secchi + 1 more
'Anne Schmitz'] Effective task scheduling in human-robot collaboration (HRC) scenarios is one of the great challenges of collaborative robotics. The shared workspace inside an industrial setting brings a lot of uncertainties that cannot be foreseen. A prior offline task scheduling strategy is ineffective in dealing…
Mohammed Foughali, Alexander Zuepke
Due to the severe consequences of their possible failure, robotic systems must be rigorously verified as to guarantee that their behavior is correct and safe. Such verification, carried out on a model, needs to cover various behavioral properties (e.g., safety and liveness), but also, given the timing constraints of…
Amir Ijaz, Hashem Haghbayan, Ethiopia Nigussie, Juha Plosila + 2 more
Energy-efficient coordination of robotic swarms requires effective integration of task scheduling, motion planning, and communication management, particularly in resource-constrained environments where computation and wireless communication compete for limited energy resources. Existing multi-robot approaches typically…
Tingjun Lei, Pradeep Chintam, Chaomin Luo, Lantao Liu + 3 more
'David Cheneler' 'Stephen Monk'] In real-world applications, multiple robots need to be dynamically deployed to their appropriate locations as teams while the distance cost between robots and goals is minimized, which is known to be an NP-hard problem. In this paper, a new framework of team-based multi-robot task…
Xiaolin Fang, Junzhou Luo, Hong Gao, Weiwei Wu + 1 more
This paper investigates the problem of maximizing utility for job scheduling where each job consists of multiple tasks, each task has utility and each job also has extra utility if all tasks of that job are completed. We provide a 2-approximation algorithm for the single-machine case and a 2-approximation algorithm for…
Heba E. Hassan, Khaled Hosny Ibrahiem, Ahmed H. Madian
Due to its enormous influence on system functionality, researchers are presently looking into the issue of task scheduling on multiprocessors. Establishing the most advantageous schedules is often regarded as a difficult-to-compute issue. Genetic Algorithm is a recent tool employed by researchers to optimize scheduling…
Marian D. Baciu, Eugenia A. Capota, Cristina S. Stângaciu, Daniel-Ioan Curiac + 2 more
'Daniel-Ioan Curiac' 'Mihai V. Micea' 'Omprakash Kaiwartya'] Mixed criticality systems are one of the relatively new directions of development for the classical real-time systems. As the real-time embedded systems become more and more complex, incorporating different tasks with different criticality levels, the…