Asynchronous actor-critic for multi-agent reinforcement learning
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 …
requires agents to wait for other agents to terminate and communicate about termination …
Task allocation among connected devices: Requirements, approaches, and challenges
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 …
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 …
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 …
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 …
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 …
utilizing one leader. The mission of swarm robots is to reach their goal while not colliding …
Rapid prediction of network quality in mobile robots
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 …
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
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 …
nonlinear nodal dynamics under dynamic pinning strategy, where the control signal updates …
A connectivity preserving node permutation local method in limited range robotic networks
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 …
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
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 …
to design controllers for unmanned aerial vehicles (UAVs) robust to unknown disturbances …