Search for dissertations about: "multi-robot collision avoidance"
Showing result 1 - 5 of 6 swedish dissertations containing the words multi-robot collision avoidance.
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1. Multi-Robot Motion Planning Optimisation for Handling Sheet Metal Parts
Abstract : Motion planning for robot operations is concerned with path planning and trajectory generation. In multi-robot systems, i.e. with multiple robots operating simultaneously in a shared workspace, the motion planning also needs to coordinate the robots' motions to avoid collisions between them. READ MORE
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2. Hybrid Control of Multi-robot Systems under Complex Temporal Tasks
Abstract : Autonomous robots like household service robots, self-driving cars and dronesare emerging as important parts of our daily lives in the near future. They need tocomprehend and fulfill complex tasks specified by the users with minimal humanintervention. Also they should be able to handle un-modeled changes and contingentevents in the workspace. READ MORE
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3. Synergistic Strategies in Multi-Robot Systems: Exploring Task Assignment and Multi-Agent Pathfinding
Abstract : Robots are increasingly utilized in industry for their capability to perform repetitive,complex tasks in environments unsuitable for humans. This surge in robotic applicationshas spurred research into Multi-Robot Systems (MRS), which aim to tackle complex tasksrequiring collaboration among multiple robots, thereby boosting overall efficiency. READ MORE
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4. Collision-free path coordination and cycle time optimization of industrial robot cells
Abstract : In industry, short ramp-up times, product quality, product customization and high production rates are among the main drivers of technological progress. This is especially true for automotive manufacturers whose market is very competitive, constantly pushing for new solutions. READ MORE
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5. On Communication and Flocking in Multi-Robot Systems
Abstract : Coordination of multi-robot systems to improve communication and achieve flocking is the topic of this thesis. Methods are proposed for mobile autonomous robots to follow trajectories in a way that improves communications with a base station. Further, a decentralized algorithm is presented that yields flocking with obstacle avoidance. READ MORE