Ben Talbot is a Staff Engineer in robotics with eight years of experience bridging academic research and industrial autonomy at Emesent and QUT. He holds a PhD focused on integrating symbolic spatial information into robot navigation, and has progressed from PhD candidate and postdoc roles to senior research and technical lead positions in autonomy. Ben combines deep research credentials with hands-on systems engineering—designing, teaching, and shipping perception and navigation software for real-world robotic platforms. He mentors teams and builds educational tooling, having led large undergraduate tutoring programs and constructed course hardware and software. Based in Queensland, Australia, he is comfortable taking theoretical ideas into robust fielded systems and thrives on solving spatial reasoning challenges that sit between perception and planning. Despite a research-heavy background, his recent roles emphasize delivery and scaling of autonomy for commercial robotic applications.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Integrating Symbolic Spatial Information in Robot Navigation Systems, Doctor of Philosophy - PhD, Integrating Symbolic Spatial Information in Robot Navigation Systems at QUT (Queensland University of Technology)
Bachelor of Engineering - BE, Electrical and Electronics Engineering, 6.4, Bachelor of Engineering - BE, Electrical and Electronics Engineering, 6.4 at Queensland University of Technology
Behaviour Trees for ROS with smart data flow management
Contributions:2 releases, 52 commits, 27 pushes in 2 years 11 months
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