Odor source localization in complicated indoor environments

Odor source localization is a topic that continues to attract research attention, and in the past decade, mobile robots have been used to localize odor source. A robot which is capable of odor plume tracing can be employed in many applications, such as the detection of toxic gas, fire at its initial stage and unexploded bombs. Many plume-tracing robots were developed for indoor environments and the testing arena was ldquocleanrdquo of obstacles between the robot and the odor source. However, robots working in real applications are required to avoid collision with obstacles. For instance, indoor environments are normally filled with obstacles which can also affect the odor plume's shape and distribution, making plume tracing indoor a challenge. In this study, we developed a small size plume-tracing mobile robot that can localize odor source under fixed wind direction and fixed wind speed conditions. It can not only safely travel in an obstacle-filled environment but can also localize the odor source without being confused by change of plume shape and distribution.

[1]  R. Andrew Russell,et al.  Tracking chemical plumes in constrained environments , 2001, Robotica.

[2]  Koren,et al.  Real-Time Obstacle Avoidance for Fast Mobile Robots , 2022 .

[3]  Wolfram Burgard,et al.  The dynamic window approach to collision avoidance , 1997, IEEE Robotics Autom. Mag..

[4]  R. Andrew Russell,et al.  Using naïve physics for odor localization in a cluttered indoor environment , 2006, Auton. Robots.

[5]  Dominique Martinez,et al.  A Biomimetic Robot for Tracking Specific Odors in Turbulent Plumes , 2022 .

[6]  Lino Marques,et al.  Olfaction-based mobile robot navigation , 2002 .

[7]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[8]  Tien-Fu Lu,et al.  Wind sensor and robotic model wasp development , 2003 .

[9]  Hyung Suck Cho,et al.  An obstacle avoidance method for mobile robots based on fuzzy decision-making , 2006, Robotica.

[10]  Hiroshi Ishida,et al.  Mobile robot navigation using vision and olfaction to search for a gas/odor source , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[11]  Richard Griffiths,et al.  Field and wind tunnel investigations of plume dispersion around single surface obstacles , 2003 .

[12]  Rodney M. Goodman,et al.  Distributed odor source localization , 2002 .

[13]  William M. Spears,et al.  Agent-Based Chemical Plume Tracing Using Fluid Dynamics , 2004, FAABS.

[14]  William M. Spears,et al.  Swarms for chemical plume tracing , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

[15]  Jing Gu,et al.  An artificial moth: Chemical source localization using a robot based neuronal model of moth optomotor anemotactic search , 2006, Auton. Robots.

[16]  Tom Duckett,et al.  Reactive localisation of an odour source by a learning mobile robot , 2002 .