Adam Jacobson

Adam Jacobson is a former Research Fellow at the Queensland University of Technology (QUT) Centre for Robotics, now working at Caterpillar as an Automation Engineering Specialist. He holds a PhD (QUT) and Bachelor of Engineering (Electrical) from QUT.

• Research Focus: Bio-inspired algorithms for robotic SLAM, sensor fusion, and underground mining automation.
• Key Projects: 'Infinitely Scalable Learning and Recognition Network' (funded by Asian Office of Aerospace Research and Development) and 'Automation Enabling Positioning for Underground Mining' (collaboration with Caterpillar and Mining3).

His work emphasizes scalable visual place recognition, low-cost sensor integration, and overcoming challenges in dynamic environments like underground mines. Awards include an ARC Future Fellowship for 'Superhuman place recognition' research.

• Awards: ARC Future Fellowship, 201X (specific year unlisted).
• Collaborations: Harvard University, University of Notre Dame, Caterpillar, and Mining3.

His research has advanced autonomous vehicle navigation, particularly in harsh environments, through innovations in multi-scale visual recognition and sensor calibration.