Results 41 to 50 of about 1,898 (151)

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

Engineering Multiagent Systems - Reflections [PDF]

, 2012
In the first part I look at a theater performance by artistic director Troels Christian Jakobsen as a multiagent system. It is designed as a self-organising critical system using a framework where within its borders but without a script there is real ...
Logan, Brian, Hindriks, Koen V., Wobcke, Wayne, Villadsen, Jørgen, Dix, Jürgen   +4 more
core   +1 more source

Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation

Strategic Management Journal, EarlyView.
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi, Daniella Laureiro‐Martinez, Federico Magni, Stefano Brusoni   +3 more
wiley   +1 more source

Colored trails: A multiagent system testbed for decision-making research (demonstration) [PDF]

, 2008
With increasing frequency, computer agents participate in collaborative and competitive multiagent domains in which humans reason strategically to make decisions.
Pfeffer, Avi, Shieber, Stuart, Ficici, Sevan, Gal, Ya'akov Kobi, Grosz, Barbara   +4 more
core  

Liquid Crystal Polymers as Intrinsically Magnetic and Programmable Soft Materials for Microrobotics

Small, EarlyView.
Liquid crystal polymers (LCPs) are proposed as intrinsically magnetic, programmable, soft materials for microrobotics. Magnetic torque‐driven manipulation of LCP microobjects is achieved and characterized in terms of the step‐out frequency, reaching ∼0.6 Hz in a ∼250 mT magnetic field. The orientation of LCP microobjects in the magnetic field and their
Alexandra Gruzdenko, Ignacio Becerra Osorio, Max de Sain, Albert P. H. J. Schenning, Jaap M. J. den Toonder, Michael G. Debije   +5 more
wiley   +1 more source

Model Checking-Based Analysis of Multiagent Systems

, 2001
Model checking is a very successful technique which has been applied in the design and verification of finite state concurrent reactive processes. This technique can be lifted to be applicable to multiagent systems.
BENERECETTI, MASSIMO, Fausto Giunchiglia, Giunchiglia, Fausto, Massimo Benerecetti   +3 more
core   +1 more source

Reinforcement Learning With Timed Constraints for Robotics Motion Planning

Artificial Intelligence for Engineering, EarlyView.
This work presents a unified automata‐based reinforcement learning framework that enforces MITL time‐bounded task specifications in both MDPs and POMDPs. Results from grid‐world and office scenarios show robust policy learning under stochastic dynamics and partial observability.
Zhaoan Wang, Junchao Li, Mohammad Mahdi Dehghan Pir, Shaoping Xiao   +3 more
wiley   +1 more source

SOBE: Source behavior estimation for subjective opinions In multiagent systems

, 2016
In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions may not always be competent and honest but more likely erroneous or even malicious.
Mel, G. de, Şensoy, Murat, Kaplan, L., Gunes, Taha Doğan   +3 more
core  

Multiagent reinforcement learning with graphical mutual information maximization

, 2023
Communication learning is an important research direction in the multiagent reinforcement learning (MARL) domain. Graph neural networks (GNNs) can aggregate the information of neighbor nodes for representation learning.
An, Bo, Ding, Shifei, Zhang, Jian, Ding, Ling, Guo, Lili, Du, Wei   +5 more
core   +1 more source

MultiRobot Motion Planning Based on Diffusion and Time–Space Path Planning

Artificial Intelligence for Engineering, EarlyView.
This diffusion‐based framework for multirobot motion planning reuses a pretrained single‐robot Motion Planning Diffusion model, employing an alternating trajectory generation scheme guided by inter‐robot collision costs, resulting in coordinated planning without additional multi‐robot training.
Tianle Zhang, Sheng‐Jen Hsieh, Cheng Niu   +2 more
wiley   +1 more source