Papers
5
Total Citations
124
H-Index
5
About
Bruno Gouveia is a robotics researcher whose work focuses on distributed and parallel computing architectures for autonomous systems, with a particular emphasis on Simultaneous Localization and Mapping (SLAM). His major contributions lie in developing methods to enhance computational efficiency in multi-robot teams, where mobile robots act as nodes in a "Robotic Cluster" to share demanding tasks. His most cited work, "Computation Sharing in Distributed Robotic Systems" (59 citations), proposes novel distributed architectures for SLAM that improve team performance. Gouveia also advanced the field by introducing a multithreaded approach to Rao-Blackwellized Particle Filter SLAM (28 citations), leveraging multiprocessor systems to accelerate real-time mapping. Beyond SLAM, he contributed to humanitarian robotics, notably through his involvement in the 2014 Humanitarian Robotics and Automation Technology Challenge, which aimed to apply robotics to field demining missions. While one of his papers on autonomous demining was later retracted, his core research on distributed and multithreaded SLAM architectures—including work on wireless sensor networks—demonstrates a sustained effort to push the boundaries of collaborative, computationally efficient robotics.
Research Focus
Key Achievements
Top Papers
- 1Computation Sharing in Distributed Robotic Systems: A Case Study on SLAM59 citations · 2014
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