PhD (Queensland University of Technology), BEng(Hons)(Elec) (Queensland University of Technology)
Ben is a roboticist working at the intersection of novel research and the engineering required to bring these advances in robotics to the real world. He relishes the challenges that arise in translating research to real world applications, often drawing inspiration from our understanding of human cognitive processes when creating solutions. His research interests include cognitive robotics, artificial intelligence, and real world applications of robotic systems. He currently holds the position of Research Fellow at the Queensland University of Technology, working in both the Australian Center for Robotic Vision (ACRV) and QUT Centre for Robotics (QCR).
With over 8 years of experience in robotics, Ben has worked on projects with a blend of both research and engineering outcomes. His PhD research was the core of an ARC Discovery Project (DP140103216) on using the human cues in built environments for robot navigation. Since, he has been working on facilitating the translation of novel research to the real world with the Evaluation and Benchmarking project in the ACRV. The work has created BenchBot; software that allows researchers to explore the performance of their novel research in photorealistic 3D simulation and on real robot platforms, with only a few lines of code. Ben is passionate about creating work that strengthens the robotics community, which has resulted in high-quality open source software like BenchBot and OpenSeqSLAM2.0.
Ben received his Bachelor of Engineering (Honours I) in Electrical Engineering in 2012, and PhD in 2018 from the Queensland University of Technology. Throughout his PhD, Ben occupied head tutoring roles in Advanced Robotics and Microprocessors & Digital Systems. All facets of Ben’s work to date—research, teaching, and studies—have been recognised with awards.
Awards and recognitions
- 2015: Best Student paper at the Australasian Conference on Robotics and Automation (ACRA)
- 2015: Vice-Chancellor’s Award for Excellence Finalist (Academic)
- 2015: Vice-Chancellor’s Performance Award (Teaching)
- 2009: Dean’s Scholars Award
- Talbot B, Dayoub F, Corke P, Wyeth G, (2020) Robot navigation in unseen spaces using an abstract map, IEEE Transactions on Cognitive and Developmental Systems
- Talbot B, Garg S, Milford M, (2018) OpenSeqSLAM2.0: An open source toolbox for visual place recognition under changing conditions, Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) p7758-7765
- Talbot B, Lam O, Schulz R, Dayoub F, Upcroft B, Wyeth G, (2016) Find my office: Navigating real space from semantic descriptions, Proceedings of the 2016 IEEE International Conference on Robotics and Automation p5782-5787
- Suenderhauf N, Dayoub F, Mcmahon S, Talbot B, Schulz R, Corke P, Wyeth G, Upcroft B, Milford M, (2016) Place categorization and semantic mapping on a mobile robot, Proceedings of the 2016 IEEE International Conference on Robotics and Automation p5729-5736
- Talbot B, Schulz R, Upcroft B, Wyeth G, (2015) Reasoning about natural language phrases for semantic goal driven exploration, Proceedings of the Australasian Conference on Robotics and Automation 2015 p1-10
- Schulz R, Talbot B, Lam O, Dayoub F, Corke P, Upcroft B, Wyeth G, (2015) Robot navigation using human cues: A robot navigation system for symbolic goal-directed exploration, Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA 2015) p1100-1105