Photography; Vienna, location of the conference

Invited Speakers

Photography; Jeremy L. Wyatt, profile picture

Jeremy L. Wyatt

Jeremy L. Wyatt is a director of applied science at Amazon Robotic. He is also a member of the Intelligent Robotics Laboratory, and of CN-CR, a centre for neuroscience and robotics. His research interests focus on dexterous robot manipulation.

Previously, he coordinated the FP7 funded project PacMan on robot manipulation, as well as the CogX project on robots that plan and learn in the face of knowledge gaps. He further contributed to projects like Strands on long term autonomy and spatial temporal mapping, GeRT on robot manipulation, and CoSy on Cognitive Robotics.

Photography; Timothy Patten, profile picture

Timothy Patten

Dr. Timothy Patten is a senior machine learning engineer at Abyss Solutions where he develops computer vision and machine learning algorithms to support autonomous inspections for diverse industry sectors such as energy, marine and infrastructure.

Previously, he worked as a postdoctoral research fellow at the Robotics Institute at the University of Technology Sydney, and at the Vision for Robotics laboratory at the Technical University of Vienna. His research focused on the intersection of perception, learning and planning applied to scene and task understanding.

Tim received his PhD from the Australian Centre for Field Robotics at the University of Sydney in 2017. During his PhD he worked on a number of field robotics projects and developed methods for active object classification, object recognition from LIDAR and state estimation for environmental modelling.

Photography; Martin Humenberger, profile picture

Martin Humenberger

Martin is the Director of Science at NAVER LABS Europe (NLE). NAVER LABS is the R&D subsidiary of NAVER, Korea’s leading internet company and the part of NAVER responsible for creating future technology. NLE is NAVER LABS’ research arm in Europe hosting more than 80 scientists (plus PhD students and interns).
In his role, Martin is in charge of defining and executing NLE’s strategy for research and development that is focused on AI for Robotics, or more general, Embodied AI. The multidisciplinary research at NLE addresses fundamental and real-world challenges that AI can help us solve to make robots more useful in our everyday lives.
Martin joined NLE in December 2017 as a Senior Scientist in 3D computer vision. In September 2018 he was appointed lead of the 3D Vision team then lead for AI for Robotics before becoming Director of Science in November 2022.
He earned his Master’s degree in computer engineering at the Upper Austrian University of Applied Science Hagenberg in 2004 and he finished his Ph.D. studies in electrical engineering at Vienna University of Technology in 2011 with distinction before he joined AIT Austrian Institute of Technology as research scientist. He spent a year at NASA’s Jet Propulsion Laboratory as Caltech Postdoc.
His personal research interests are 3D computer vision and combining machine learning with geometry.