Search · four archives
Search · four archives
17 papers · ranked by Valyu relevance
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…
Jakob Bichler, Andreu Matoses Gimenez, Javier Alonso-Mora
— We present Sadcher, a real-time task assignment framework for heterogeneous multi-robot teams that incorporates dynamic coalition formation and task precedence constraints. Sadcher is trained through Imitation Learning and combines graph attention and transformers to predict assignment rewards between robots and…
Yifan Cai, Abhinav Dahiya, Nils Wilde, Stephen L. Smith
— In this paper, we consider the problem of allocating human operator assistance in a system with multiple autonomous robots. Each robot is required to complete independent missions, each defined as a sequence of tasks. While executing a task, a robot can either operate autonomously or be teleoperated by the human…
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…
Benjamin M. David, Paul A. Jensen
Coordinating multiple liquid handling robots is a complex logistical task when designing biological experiments. Protocol designers must consider the capabilities and constraints of each robot to distribute work optimally across multiple instruments. We developed an optimization framework that finds optimal liquid…
Ashay Aswale, Carlo Pinciroli
— We present an approach to task scheduling in heterogeneous multi-robot systems. In our setting, the tasks to complete require diverse skills. We assume that each robot is multi-skilled, i.e., each robot offers a subset of the possible skills. This makes the formation of heterogeneous teams (coalitions) a requirement…
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…
Saeid Alirezazadeh, Luı́s A. Alexandre
Cloud Robotics is helping to create a new generation of robots that leverage the nearly unlimited resources of large data centers (i.e., the cloud), overcoming the limitations imposed by on-board resources. Different processing power, capabilities, resource sizes, energy consumption, and so forth, make scheduling and…
Gaurav Misra, A Suzumura, Andres Rodriguez Campo, Kautilya Chenna + 2 more
Reactive Motion Planning for Multi-Robot Applications Authors: ['Gaurav Misra' 'A Suzumura' 'Andres Rodriguez Campo' 'Kautilya Chenna' 'Sean W. Bailey' 'John Drinkard'] Abstract— In this letter, an integrated task planning and reactive motion planning framework termed Multi-FLEX is presented that targets real-world…
Álvaro Calvo, Jesús Capitán
Dynamic Scenarios Authors: ['Álvaro Calvo' 'Jesús Capitán'] Abstract—We present a framework for Multi-Robot Task Allocation (MRTA) in heterogeneous teams performing longendurance missions in dynamic scenarios. Given the limited battery of robots, especially in the case of aerial vehicles, we allow for robot recharges…
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…
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…
Ning Yang, Liu, Yibo, Shuo Chen + 2 more
—Mobile Edge Computing (MEC) leverages computational heterogeneity between mobile devices and edge nodes to enable real-time applications requiring high information freshness. The Age-of-Information (AoI) metric serves as a crucial evaluator of information timeliness in such systems. Addressing AoI minimization in…
Authors not listed
This paper presents GLAS (Git-based Lab Automated Scheduler or Get Lab Automation Simplified), an open-source, robust, and highly expandable Git-based architecture designed for laboratory automation. GLAS can be deployed in both partially and fully automated experimental science laboratories, enabling the development…
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…
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…
Authors not listed
Automated chemistry platforms hold the potential to enable large-scale organic synthesis campaigns, such as producing a library of compounds for biological evaluation. The efficiency of such platforms will depend on the schedule according to which the synthesis operations are executed. In this work, we study the…