Age, Biography and Wiki

Wolfram Burgard was born on 1961 in Gelsenkirchen, Germany, is a German roboticist. Discover Wolfram Burgard's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 62 years old?

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Age 62 years old
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Born , 1961
Birthday
Birthplace Gelsenkirchen, Germany
Nationality Germany

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Wolfram Burgard Height, Weight & Measurements

At 62 years old, Wolfram Burgard height not available right now. We will update Wolfram Burgard's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
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Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

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Wolfram Burgard Net Worth

His net worth has been growing significantly in 2022-2023. So, how much is Wolfram Burgard worth at the age of 62 years old? Wolfram Burgard’s income source is mostly from being a successful . He is from Germany. We have estimated Wolfram Burgard's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
Salary in 2023 Under Review
Net Worth in 2022 Pending
Salary in 2022 Under Review
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Cars Not Available
Source of Income

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Timeline

2009

Wolfram Burgard has the 2009 Gottfried Wilhelm Leibniz Prize, the most prestigious German research prize. He has furthermore received seven best paper awards from outstanding conferences. He also became a distinguished lecturer of the IEEE Robotics and Automation Society.

2008

In 2008, Wolfram Burgard became a fellow of the European Coordinating Committee for Artificial Intelligence. In 2009, Wolfram Burgard became fellow of the Association for the Advancement of Artificial Intelligence. In 2010, he received an Advanced Grant of the European Research Council.

2004

Wolfram Burgard supervised several PhD students in his lab for Autonomous Intelligent Systems, namely Maren Bennewitz (2004), Dirk Haehnel (2005), Cyrill Stachniss (2006), Rudolph Triebel (2007), Óscar Martínez Mozos (2008), Patrick Pfaff (2008), and Christian Plagemann (2008), Jürgen Sturm (2011), Daniel Meyer-Delius Di Vasto (2011), Slawomir Grzonka (2011), Thilo Grundmann (2012), Kai Wurm (2012), Axel Rottmann (2012), Barbara Frank (2013), Rainer Kümmerle (2013), Bastian Steder (2013), Jörg Müller (2013), Dominik Joho (2013), Boris Lau (2013), Maximilian Beinhofer (2014).

1999

Together with his colleagues, Wolfram Burgard developed numerous probabilistic approaches to mobile robot navigation. This includes Markov localization, a probabilistic approach to mobile localization which can robustly track the position of a mobile robot, estimate its global position when it starts without any prior knowledge about it, and can even recover from localization failures. In 1999, Frank Dellaert, Dieter Fox, Sebastian Thrun, and Wolfram Burgard developed Monte Carlo localization, a probabilistic approach to mobile robot localization that is based on particle filters.

1991

In 1991 he became a research assistant at the University of Bonn, where he led the laboratory for Autonomous Mobile Systems. He was head of the research group which installed the mobile robot Rhino as the first interactive museum tour-guide robot in the Deutsches Museum Bonn, Germany in 1997. In 1998, he and his colleagues deployed the mobile robot Minerva in the National Museum of American History in Washington DC. In 1999, Wolfram Burgard became Professor for Autonomous Intelligent Systems at the Albert-Ludwigs-Universität Freiburg.

1987

Wolfram Burgard received his Diploma degree from University of Dortmund in 1987 and his Doctorate from the University of Bonn in 1991. His thesis advisor was Armin B. Cremers.

1961

Wolfram Burgard (born 1961 in Gelsenkirchen, Germany) is a German roboticist. He is a full professor at the Albert-Ludwigs-Universität Freiburg where he heads the Laboratory for Autonomous Intelligent Systems. He is known for his substantial contributions to the simultaneous localization and mapping (SLAM) problem as well as diverse other contributions to robotics.