University of Cambridge > Talks.cam > Machine Learning @ CUED > Robot Localisation and Mapping

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Robot Localisation and Mapping

Download to your calendar using vCal

If you have a question about this talk, please contact Zoubin Ghahramani .

Advanced Machine Learning Tutorial Lecture

This tutorial will cover the area of mobile robot localisation and mapping. Beginning with the simple cases of Bayesian localisation and feature based mapping, the tutorial will progress to consider the full Simultaneous Localisation and Mapping (SLAM) problem. This is in many ways a cornerstone of current and future autonomous mobile systems and has been a subject of intense research over the last five years. If we want to send machines into a-priori unknown settings we need robust, embedded SLAM - something that still eludes us. Both Kalman and sample based approaches will be covered. The tutorial will also give time to some major outstanding issues in the area – in particular the loop closing problem (the task of deciding if the current local workspace intesects with an already mapped region) and recent work on appearance based methods.

This talk is part of the Machine Learning @ CUED series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Average on weekdays: 9225.68150289 kWh nlip seminar Room 2S8 Donald McIntyre Building, Faculty of Education (Room 1S7), 184 Hills Road, Cambridge CB2 8PQ

Other talks

TBC Discovery Investigations: Science, Empire and the Making of the British South Atlantic Gastroenterology and Acute Medicine Title to be confirmed title abstract tbc Title to be confirmed
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity