This paper proposes and evaluates a new real-time reactive planning approach for a dynamic environment.
The paper at hand proposes an efficient trajectory planning approach for automated vehicles.
Besides, Ref. [17] proposed an expansion planning approach for the combined gas and power in the context of value chains.
More broadly, it represents a spatial planning approach for evaluating competing and complementary ecosystem service priorities for a particular landscape.
Thirdly, a local path planning approach for different autonomous driving is proposed with the control system architecture.
The reasoning process is based on a systematic planning approach for screening and selecting multilateral well candidates, lateral-section completion types, and junction complexity levels.
The current work proposes an extension of the D* algorithm for multi-robot environments, aiming to provide a collaborative path-planning approach for multi-robot world populated.
A trajectory planning approach for electromagnetic heating systems is presented capable to optimize the electrical excitation and spatial configuration of the corresponding actuator (e. g. inductor or electrode).
In this study, an evolutionary path-planning approach for robot-assisted handling of sheet metal parts in bending is firstly proposed and implemented.
Based on a case-based example from the beverage industry numerical experiments are conducted to examine the practical applicability of the proposed block planning approach for production systems with a single bottleneck stage.
In this paper, the multi-stage planning approach for BESS applied in distribution network is presented, enabling the best trade-off between storage system cost and benefits including maximizing the PV connections.
