A review of cooperative multi-agent deep reinforcement learning
A Oroojlooy, D Hajinezhad - Applied Intelligence, 2023 - Springer
Abstract Deep Reinforcement Learning has made significant progress in multi-agent
systems in recent years. The aim of this review article is to provide an overview of recent …
systems in recent years. The aim of this review article is to provide an overview of recent …
Primal: Pathfinding via reinforcement and imitation multi-agent learning
Multi-agent path finding (MAPF) is an essential component of many large-scale, real-world
robot deployments, from aerial swarms to warehouse automation. However, despite the …
robot deployments, from aerial swarms to warehouse automation. However, despite the …
Adaptive neural network control of an uncertain robot with full-state constraints
W He, Y Chen, Z Yin - IEEE transactions on cybernetics, 2015 - ieeexplore.ieee.org
This paper studies the tracking control problem for an uncertain-link robot with full-state
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …
Algorithms for collision-free navigation of mobile robots in complex cluttered environments: a survey
We review a range of techniques related to navigation of unmanned vehicles through
unknown environments with obstacles, especially those that rigorously ensure collision …
unknown environments with obstacles, especially those that rigorously ensure collision …
[HTML][HTML] Subdimensional expansion for multirobot path planning
Planning optimal paths for large numbers of robots is computationally expensive. In this
paper, we introduce a new framework for multirobot path planning called subdimensional …
paper, we introduce a new framework for multirobot path planning called subdimensional …
Neural network-based motion control of an underactuated wheeled inverted pendulum model
In this paper, automatic motion control is investigated for wheeled inverted pendulum (WIP)
models, which have been widely applied for modeling of a large range of two wheeled …
models, which have been widely applied for modeling of a large range of two wheeled …
Mutual information-based multi-AUV path planning for scalar field sampling using multidimensional RRT
Autonomous underwater vehicles (AUVs) have been widely employed in ocean survey,
monitoring, and search and rescue tasks for both civil and military applications. It is …
monitoring, and search and rescue tasks for both civil and military applications. It is …
Neural network approximation based near-optimal motion planning with kinodynamic constraints using RRT
In this paper, the problem of near-optimal motion planning for vehicles with nonlinear
dynamics in a clustered environment is considered. Based on rapidly exploring random …
dynamics in a clustered environment is considered. Based on rapidly exploring random …
Trajectory planning and optimized adaptive control for a class of wheeled inverted pendulum vehicle models
In this paper, we investigate optimized adaptive control and trajectory generation for a class
of wheeled inverted pendulum (WIP) models of vehicle systems. Aiming at shaping the …
of wheeled inverted pendulum (WIP) models of vehicle systems. Aiming at shaping the …
Neural-adaptive control of single-master–multiple-slaves teleoperation for coordinated multiple mobile manipulators with time-varying communication delays and …
In this paper, adaptive neural network control is investigated for single-master-multiple-
slaves teleoperation in consideration of time delays and input dead-zone uncertainties for …
slaves teleoperation in consideration of time delays and input dead-zone uncertainties for …