Sensor-based navigation in cluttered environments

Ricardo Swain-Oropeza, Michel Devy, Seth Hutchinson

Research output: Contribution to journalArticlepeer-review


In this paper, we present a new approach to sensor-based navigation in cluttered environments. In our system, tasks are specified in terms of visual goals, and obstacles are detected by a laser range finder. To effect task performance, we introduce a new gain scheduling visual servo controller. Our approach uses a diagonal gain matrix whose entries are adjusted during execution according to one of several proposed gain schedules. Obstacle avoidance is achieved by allowing the detected obstacles to generate artificial repulsive potential fields, which alter the motion of the mobile robot base. Since this motion affects the vision-based control, it is compensated by corresponding camera motions. Finally, we combine the obstacle avoiding and visual servo components of the system so that visual servo tasks can be performed as obstacles are avoided. We illustrate our approach with both simulations and real experiments using our experimental platform Hil are 2Bis.

Original languageEnglish (US)
Pages (from-to)1662-1669
Number of pages8
JournalIEEE International Conference on Intelligent Robots and Systems
StatePublished - 2001
Externally publishedYes


  • Sensor-based mobile robotics
  • Visual servoing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications


Dive into the research topics of 'Sensor-based navigation in cluttered environments'. Together they form a unique fingerprint.

Cite this