Exact(4)
In this paper a gradient-based optimization approach for path synthesis problems is proposed.
A modified ant algorithms is presented as a fast and efficient approach for path planning of UCAV in this paper.
This paper presents a neural-network-based adaptive control approach for path tracking and obstacle avoidance of a class of mobile robots in the presence of unknown skidding, slipping, and torque saturation.
Afterwards, we use the virtual holonomic constraints approach for path following control design for the snake robot.
Similar(56)
This study presents a new synthetic approach for path-generating or function-generating rigid-body mechanisms in the framework of a new hybrid genetic algorithm.
A variety of approaches for path tracking control of wheeled mobile robots have been implemented.
A performance evaluation of the two most relevant MANET approaches for path discovery (namely, reactive and proactive) has been carried out by means of simulation of two well-known routing protocols: Ad-hoc On-demand Distance Vector (AODV) and Destination Sequenced Distance Vector (DSDV).
Further, a nested optimization strategy is proposed to solve the complicated problem, including a genetic approach for channel allocation, a genetic approach for route scheduling and an optimal path selection algorithm to find maximum bandwidth path.
This paper proposes an efficient, Bezier curve based approach for the path planning of a mobile robot in a multi-agent robot soccer system.
In this paper we introduce a search approach for shortest path algorithm in a parallel distributed architecture which is designed to handle the time-dependency for multimodal transportation network.
In this article, a novel approach for improving path selection based on mobility and positioning factors is proposed.
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