An obstacle avoidance system for mobile robotics based on the virtual force field method

Agustin Gianibelli, Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


A basic task an autonomous mobile vehicle must perform in any environment is moving from its current position to a desired position. In order to do so, a capacity to avoid obstacles should be present. However, sensors introduce measurement errors that increase the uncertainty regarding the robot current state. In this work, an obstacle avoidance algorithm based on the methodology of the field of virtual forces for path planning will be implemented. This algorithm is based on a heuristic optimization of the balance between two design objectives: the fast convergence to the objective position and navigation free of collisions. The obstacle avoidance system will be tested on a mobile robot, the Pioneer 3at ® , using its front facing sonars for sensing its environment.
Original languageEnglish
Title of host publication2018 IEEE Biennial Congress of Argentina
ISBN (Electronic)9781538650325
Publication statusPublished - 21 Feb 2019
Event2018 IEEE Biennial Congress of Argentina - San Miguel de Tucuman, Argentina
Duration: 6 Jun 20188 Jun 2018


Conference2018 IEEE Biennial Congress of Argentina
Abbreviated titleARGENCON 2018
CitySan Miguel de Tucuman

ASJC Scopus subject areas

  • Process Chemistry and Technology
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Instrumentation


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