Optimisation-based motion planning with obstacles and priorities * *The research leading to these results has received funding from the Swedish Science Foundation (SSF) project ”Semantic mapping and visual navigation for smart robots” (RIT15-0038). Dept. of Automatic Control, LTH, Lund University, SE-221 00 Lund, Sweden. The authors are members of the Lund Center for Control of Complex Engineering Systems (LCCC) funded by the Swedish Research Council (VR) and the Excellence Center Linköping - Lund in Information Technology (ELLIIT)

Author:

Greiff Marcus,Robertsson Anders

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference16 articles.

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1. EFFICIENT UAV FLIGHT PLANNING FOR LOD2 CITY MODEL IMPROVEMENT;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-12-05

2. Multi-Objective Routing Optimization in Electric and Flying Vehicles: A Genetic Algorithm Perspective;Applied Sciences;2023-09-18

3. Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review;Artificial Intelligence Review;2022-09-26

4. Unmanned aerial vehicles/drones in vehicle routing problems: a literature review;International Transactions in Operational Research;2020-03-02

5. Motion Planning for a Humanoid Mobile Manipulator System;International Journal of Humanoid Robotics;2019-04

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