Asynchronous actor-critic for multi-agent reinforcement learning

Y Xiao, W Tan, C Amato - Advances in Neural Information …, 2022 - proceedings.neurips.cc
Synchronizing decisions across multiple agents in realistic settings is problematic since it
requires agents to wait for other agents to terminate and communicate about termination …

Task allocation among connected devices: Requirements, approaches, and challenges

V Pilloni, H Ning, L Atzori - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Task allocation (TA) is essential when deploying application tasks to systems of connected
devices with dissimilar and time-varying characteristics. The challenge of an efficient TA is to …

Cooperative localization and unknown currents estimation using multiple autonomous underwater vehicles

J Kim - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
This letter is on cooperative localization and sea currents estimation using multiple
Autonomous Underwater Vehicles (AUVs). Due to sea currents, dead reckoning localization …

Needs-driven heterogeneous multi-robot cooperation in rescue missions

Q Yang, R Parasuraman - 2020 IEEE International Symposium …, 2020 - ieeexplore.ieee.org
This paper focuses on the teaming aspects and the role of heterogeneity in a multi-robot
system applied to robot-aided urban search and rescue (USAR) missions. We propose a …

How can robots trust each other for better cooperation? a relative needs entropy based robot-robot trust assessment model

Q Yang, R Parasuraman - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
Cooperation in multi-agent and multi-robot systems can help agents build various
formations, shapes, and patterns presenting corresponding functions and purposes …

[HTML][HTML] Leader-based flocking of multiple swarm robots in underwater environments

J Kim - Sensors, 2023 - mdpi.com
Considering underwater environments, this paper tackles flocking of multiple swarm robots
utilizing one leader. The mission of swarm robots is to reach their goal while not colliding …

Rapid prediction of network quality in mobile robots

R Parasuraman, BC Min, P Ögren - Ad Hoc Networks, 2023 - Elsevier
Mobile robots rely on wireless networks for sharing sensor data from remote missions. The
robot's spatial network quality will vary considerably across a given mission environment …

[HTML][HTML] Synchronization of drive-response networks with event-based pinning control

Q Jia, AK Bram, Z Han - Neural Computing and Applications, 2021 - Springer
This work investigates the pinning synchronization problem of a drive-response network with
nonlinear nodal dynamics under dynamic pinning strategy, where the control signal updates …

A connectivity preserving node permutation local method in limited range robotic networks

K Khateri, M Pourgholi, M Montazeri… - Robotics and Autonomous …, 2020 - Elsevier
Limited communication range, together with mobility of robots, makes it crucial to design the
control plans such that connectivity of a multi-robot network is maintained. Recently, many …

[PDF][PDF] REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances

HL Hsu, H Meng, S Luo, J Dong… - … on Robotics and …, 2024 - cpsl.pratt.duke.edu
In this work, we introduce REFORMA, a novel robust reinforcement learning (RL) approach
to design controllers for unmanned aerial vehicles (UAVs) robust to unknown disturbances …