Seminar Markovian Robotics
An announcement of the course can also be found in the course information system CAMPUS.
Agents are autonomous, computational entities (programs, robots) which perceive their environment through sensors and which are able to take influence on it through effectors. Many entities in robotics such as the environment itself, sensing results, and action effects are uncertain. To be able to cope with those uncertainties in complex domains one usually uses probabilistic mechanism. Many of those mechanism employ the Markov Assumption which refers to the dependence of temporal states. With it, values in any given state are only influenced by the values of the state directly preceding it.
Participants have already been selected and notified.
Here is the list of literature.
Seminar talks will be held weekly throughout the semester. Participation is bindingly for achieving the credit. The preparation of the talks and the written workout should not be a translation or renarration of the given paper(s). The given literature is meant to be a starting point for own literature investigation on the topic. The literature should then be discussed with the instructor.
No later than 6 weeks before the talk the seminarist should hand in a preliminary workout and 3 week (latest!) before the talk the final version of the slides/transparencies must be given to the respective seminar instructor.
Instructions on a good seminar talk
Renate Eschenbach from our library offers guided tours on how to find literature in the library and how to prepare a seminar.
Submitted by stf on 9. February 2008 - 17:11 categories [ ]