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Real-time obstacle avoidance for fast mobile robots in cluttered environments

Borenstein, J., Koren, Y.·2002·Proceedings., IEEE International Conference on Robotics and Automation

Abstract

The method described, named the vector field histogram (VFH), permits the detection of unknown obstacles and avoids collisions while simultaneously steering the mobile robot toward the target. A VFH-controlled mobile robot maneuvers quickly and without stopping among densely cluttered obstacles. The VFH method uses a two-dimensional Cartesian histogram grid as a world model. This world model is updated continuously and in real time with range data sampled by the onboard ultrasonic range sensors. Based on the accumulated environmental data, the VFH method then computes a one-dimensional polar histogram that is constructed around the robot's momentary location. Each sector in the polar histogram holds the polar obstacle density in that direction. Finally, the algorithm selects the most suitable sector from among all polar histogram sectors with low obstacle density, and the steering of the robot is aligned with that direction. Experimental results from a mobile robot traversing a densely cluttered obstacle course at an average speed of 0.7 m/s demonstrate the power of the VFH method.>

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Metadata

Authors
Borenstein, J., & Koren, Y.
Venue
Proceedings., IEEE International Conference on Robotics and Automation
Published
2002-12-04
Pages
572-577
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2137448073
Cited by
297
References
1
FWCI
11.66
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Real-time obstacle avoidance for fast mobile robots in cluttered environments. https://app.cochat.ai/papers/10.1109/robot.1990.126042
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Borenstein, J., & Koren, Y. (2002). Real-time obstacle avoidance for fast mobile robots in cluttered environments. Proceedings., IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1990.126042

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