Paulo M. Rebelo
Papers
5
Total Citations
15
H-Index
2
About
Paulo M. Rebelo is a researcher advancing the frontier of industrial automation through multi-robot coordination and intelligent mobile manipulation. His work centers on enabling heterogeneous fleets of autonomous mobile robots (AMRs) to operate seamlessly in dynamic factory environments, with a focus on real-time localization, pallet detection, and force-controlled assembly. His most cited paper, "Multi-robot Coordination for a Heterogeneous Fleet of Robots" (2022, 6 citations), lays foundational strategies for managing diverse robotic teams. In "A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms" (2024, 4 citations), he evaluates the flexibility and versatility of AMRs in optimizing factory-floor processes. Notably, his 2021 paper "Force control heuristics for surpassing pose uncertainty in mobile robotic assembly platforms" (2 citations) introduces a collaborative mobile manipulator that uses force control to overcome positional uncertainties in unstructured environments—a critical step toward reliable robotic assembly. Rebelo also contributes to standardization efforts, as seen in "Control of a Mobile Robot Through VDA5050 Standard" (2024, 1 citation). His work bridges theoretical coordination algorithms with practical industrial deployment, offering tangible solutions for next-generation smart factories.
Research Focus
Key Achievements
Top Papers
- 1Multi-robot Coordination for a Heterogeneous Fleet of Robots6 citations · 2022
- 2
- 3
- 4
- 5Control of a Mobile Robot Through VDA5050 Standard1 citations · 2024