Duckett, Tom and Hanheide, Marc and Krajnik, Tomas and Pulido Fentanes, Jaime and Dondrup, Christian (2013) Spatio-temporal representation for cognitive control in long-term scenarios. In: International IEEE/EPSRC Workshop on Autonomous Cognitive Robotics, 27-28 March 2014, Stirling, UK.
Full content URL: http://dx.doi.org/10.13140/2.1.2678.7205
fremen_2014_COGROB.pdf - Whole Document
Available under License Creative Commons Attribution.
|Item Type:||Conference or Workshop contribution (Presentation)|
|Item Status:||Live Archive|
The FP-7 Integrated Project STRANDS  is aimed at producing intelligent mobile robots that are able to operate robustly for months in dynamic human environments. To achieve long-term autonomy, the robots would need to understand the environment and how it changes over time. For that, we will have to develop novel approaches to extract 3D shapes, objects, people, and models of activity from sensor data gathered during months of autonomous operation.
So far, the environment models used in mobile robotics have been tailored to capture static scenes and environment variations are largely treated as noise. Therefore, utilization of the static models in ever-changing, real world environments is difficult. We propose to represent the environment’s spatio-temporal dynamics by its frequency spectrum.
|Keywords:||mobile robotics, long-term autonomy, spatio-temporal mapping|
|Subjects:||H Engineering > H670 Robotics and Cybernetics|
|Divisions:||College of Science > School of Computer Science|
|Deposited On:||11 Sep 2014 19:43|
Repository Staff Only: item control page