Papers
4
Total Citations
46
H-Index
3
About
Thomas Bachran’s research lies at the intersection of multi-robot systems, wireless communication, and 3D perception. His most influential work, “RoSe — A framework for multicast communication via unreliable networks in multi-robot systems” (2008, 22 citations), provides a robust communication middleware that enables reliable multicast in challenging, unreliable network environments—a critical enabler for real-world multi-robot coordination. Bachran also made significant contributions to 3D simultaneous localization and mapping (SLAM), as seen in his 2010 paper on optimization techniques for laser-based 3D particle filter SLAM (17 citations). This work advanced the state of the art by addressing the computational challenges of 3D environments with six degrees of freedom, moving beyond traditional scan-matching approaches. His earlier research on service-oriented frameworks for wireless communication in mobile multi-robot systems (2007, 4 and 3 citations) laid the groundwork for modular, interoperable communication architectures. Though his citation counts are modest, Bachran’s contributions are notable for their practical focus on enabling robust, scalable multi-robot systems in real-world, unreliable settings—a foundational challenge for field robotics.
Research Focus
Key Achievements
Top Papers
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- 2Optimization techniques for laser-based 3D particle filter SLAM17 citations · 2010
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