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Design and experimental validation of deep reinforcement learning-based fast trajectory planning and control for mobile robot in unknown environment
This article is concerned with the problem of planning optimal maneuver trajectories and
guiding the mobile robot toward target positions in uncertain environments for exploration …
guiding the mobile robot toward target positions in uncertain environments for exploration …
Deep learning-based trajectory planning and control for autonomous ground vehicle parking maneuver
In this paper, a novel integrated real-time trajectory planning and tracking control framework
capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is …
capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is …
Automatic parking control of unmanned vehicle based on switching control algorithm and backstep**
This article presents a simple control method for the fully automatic parking of an unmanned
vehicle. This method is based on the switching control algorithm and backstep** theory …
vehicle. This method is based on the switching control algorithm and backstep** theory …
Multiobjective overtaking maneuver planning for autonomous ground vehicles
Constrained autonomous vehicle overtaking trajectories are usually difficult to generate due
to certain practical requirements and complex environmental limitations. This problem …
to certain practical requirements and complex environmental limitations. This problem …
A fast density peak clustering based particle swarm optimizer for dynamic optimization
Dynamic optimization problems (DOPs) are optimization problems with time evolution
characteristics. In this type of problem, the decision variables and the state variables change …
characteristics. In this type of problem, the decision variables and the state variables change …
An effective memetic algorithm for multi-objective job-shop scheduling
G Gong, Q Deng, R Chiong, X Gong… - Knowledge-Based Systems, 2019 - Elsevier
This paper presents an effective memetic algorithm (EMA) to solve the multi-objective job
shop scheduling problem. A new hybrid crossover operator is designed to enhance the …
shop scheduling problem. A new hybrid crossover operator is designed to enhance the …