Dynamic path planning adopting human navigation strategies for a domestic mobile robot

Yuan, F. and Twardon, L. and Hanheide, Marc (2010) Dynamic path planning adopting human navigation strategies for a domestic mobile robot. In: Conference of 23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010, 18-22 October 2010, Taipei.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

Mobile robots that are employed in people's homes need to safely navigate their environment. And natural human-inhabited environments still pose significant challenges for robots despite the impressive progress that has been achieved in the field of path planning and obstacle avoidance. These challenges mostly arise from the fact that (i) the perceptual abilities of a robot are limited, thus sometimes impeding its ability to see relevant obstacles (e.g. transparent objects), and (ii) the environment is highly dynamic being populated by humans. In this contribution we are making a case for an integrated solution to these challenges that builds upon the analysis and use of implicit human knowledge in path planning and a cascade of replanning approaches. We combine state of the art path planning and obstacle avoidance algorithms with the knowledge about how humans navigate in their very own environment. The approach results in a more robust and predictable navigation ability for domestic robots as is demonstrated in a number of experimental runs. ©2010 IEEE.

Additional Information:Conference Code: 83389
Keywords:Domestic robots, Dynamic path planning, Human knowledge, Human navigation, Integrated solutions, Obstacle avoidance, Obstacle avoidance algorithms, Path-planning, Re-planning, State of the art, Transparent objects, Mobile robots, Navigation, Robot programming, Intelligent robots
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G440 Human-computer Interaction
Divisions:College of Science > School of Computer Science
ID Code:8320
Deposited On:02 Apr 2013 17:41

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