Global ETD Search
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Showing 1 to 6 of 6 for “"Multi-Robot Systems (MRS)"”.
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Object Detection and Collaboration in Heterogeneous Multi-Robot Systems
With the development of novel technologies, robots are becoming more widely used in everyday applications. Compared with a single robot, Multi-Robot Systems (MRS) are more powerful and cost effective. This thesis will introduce a complete heterogeneous distributed MRS which contains an autonomous …
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Exploring Trade-offs and Emergent Properties of Heterogeneous Swarms of Maritime Robot Systems through Empirical Analysis and Application-Driven Experiments
Multi-agent systems present a promising approach to addressing challenges such as searching for and tracking moving targets, offering advantages like robustness and scalability over single-agent solutions. Current maritime searching and tracking strategies typically involve employing predetermined …
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Safe Navigation of Multi-Agent Quadrupedal Robots: A Hierarchical Control Framework Based on Distributed Predictive Control and Control Barrier Functions
… on the navigation, planning, and control of multi-agent quadrupedal robots collaborating in uncertain environments. Quadrupedal robots are high-dimensional, complex systems that are inherently unstable, posing significant challenges in designing predictive control laws. Template models offer …
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Mixed Modes of Autonomy for Scalable Communication and Control of Multi-Robot Systems
Multi-robot systems (MRS) offer many performance benefits over single robots for tasks that can be completed by one robot. They offer potential redundancies to the system to improve robustness and allow tasks to be completed in parallel. These benefits, however, can be quickly offset by losses in …
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Learning-based cooperative perception and control for multi-robot systems
Multi-robot systems (MRS) are key to addressing complex real-world problems through the coordination of multiple autonomous agents but are burdened by the curse of dimensionality, which compounds the difficulty of applying solutions to large-scale problem instances. The use of learning-based …
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A robust and efficient autonomous exploration methodology of unknown environments for multi-robot systems
Multi-robot systems can provide effective solutions for exploring and inspecting environments where it is unpractical or unsafe for humans, however, adequate coordination of the multi-robot system is a challenging initiative. A robust and efficient methodology for exploration of unknown …