Luciano C. A. Pimenta
Universidade Federal de Minas Gerais, Centro Universitário de Belo Horizonte
Papers
42
Total Citations
1,456
H-Index
18
About
Luciano C. A. Pimenta is a leading researcher in multi-robot systems, focusing on coverage control, swarm coordination, and robot navigation. His major contributions include pioneering the use of fluid dynamics models—such as Smoothed Particle Hydrodynamics (SPH)—to design decentralized swarm controllers that enable pattern generation and obstacle avoidance, as detailed in his highly cited 2013 work (104 citations). He also advanced heterogeneous robot networks with his 2008 paper on sensing and coverage (281 citations), which extended location optimization to robots with different sensor footprints. Pimenta’s work on vector fields for robot navigation, including time-varying curves in n-dimensions (188 citations, 2010), has provided foundational tools for trajectory tracking. His impact is evident in over 900 total citations across his top papers, with notable achievements like the SCAT framework for simultaneous coverage and tracking of moving targets (121 citations, 2009). Pimenta’s research bridges theory and practice, offering adaptive solutions for real-world challenges in surveillance, cordoning, and search tasks.
Research Focus
Key Achievements
Top Papers
- 1Sensing and coverage for a network of heterogeneous robots281 citations · 2008
- 2Vector Fields for Robot Navigation Along Time-Varying Curves in $n$-Dimensions188 citations · 2010
- 3Simultaneous Coverage and Tracking (SCAT) of Moving Targets with Robot Networks121 citations · 2009
- 4Swarm Coordination Based on Smoothed Particle Hydrodynamics Technique104 citations · 2013
- 5Adapting to sensing and actuation variations in multi-robot coverage75 citations · 2017
- 6Control of swarms based on Hydrodynamic models63 citations · 2008
- 7Constructive Time-Varying Vector Fields for Robot Navigation53 citations · 2021
- 8Multi-objective approach for robot motion planning in search tasks50 citations · 2016
- 9Fluids in Electrostatic Fields: An Analogy for Multirobot Control39 citations · 2007
- 10Adapting to performance variations in multi-robot coverage36 citations · 2015