Abstract
This paper introduces a three-dimensional volumetric representation for safe navigation. It is based on the OctoMap representation framework that probabilistically fuses sensor measurements to represent the occupancy probability of volumes. To achieve safe navigation in a domestic environment this representation is extended with a model of the occupancy probability if no sensor measurements are received, and a proactive approach to deal with unpredictably moving obstacles that can arise from behind occlusions by always expecting obstacles to appear on the robot's path. By combining the occupancy probability of volumes with the position uncertainty of the robot, a probability of collision is obtained. It is shown that by relating this probability to a safe velocity limit a robot in a real domestic environment can move close to a certain maximum velocity but decides to attain a slower safe velocity limit when it must, analogous to velocity limits and warning signs in traffic.
Original language | English |
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Title of host publication | 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 14-18 September 2014, Chicago, Ill., USA |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 4177-4183 |
Number of pages | 7 |
ISBN (Electronic) | 978-1-4799-6934-0 |
DOIs | |
Publication status | Published - 2014 |
Event | 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 - Palmer House Hilton Hotel, Chicago, United States Duration: 14 Sept 2014 → 18 Sept 2014 |
Conference
Conference | 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 |
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Abbreviated title | IROS 2014 |
Country/Territory | United States |
City | Chicago |
Period | 14/09/14 → 18/09/14 |