Monroy Javier, Ruiz-Sarmiento Jose-Raul, Moreno Francisco-Angel, Galindo Cipriano, Gonzalez-Jimenez Javier
Machine Perception and Intelligent Robotics group (MAPIR), Dept. of System Engineering and Automation Biomedical Research Institute of Malaga (IBIMA), University of Malaga, 29071 Málaga, Spain.
Sensors (Basel). 2019 Aug 9;19(16):3488. doi: 10.3390/s19163488.
Olfaction is a valuable source of information about the environment that has not been sufficiently exploited in mobile robotics yet. Certainly, odor information can contribute to other sensing modalities, e.g., vision, to accomplish high-level robot activities, such as task planning or execution in human environments. This paper organizes and puts together the developments and experiences on combining olfaction and vision into robotics applications, as the result of our five-years long project . Particularly, it investigates mechanisms to exploit odor information (usually coming in the form of the type of volatile and its concentration) in problems such as object recognition and scene-activity understanding. A distinctive aspect of this research is the special attention paid to the role of semantics within the robot perception and decision-making processes. The obtained results have improved the robot capabilities in terms of efficiency, autonomy, and usefulness, as reported in our publications.
嗅觉是一种关于环境的宝贵信息源,但在移动机器人领域尚未得到充分利用。当然,气味信息可以辅助其他传感方式,例如视觉,以完成高级机器人活动,如在人类环境中的任务规划或执行。本文汇集了我们为期五年的项目成果,整理了将嗅觉与视觉结合应用于机器人领域的发展情况与经验。具体而言,本文研究了在诸如目标识别和场景活动理解等问题中利用气味信息(通常以挥发性物质的类型及其浓度的形式呈现)的机制。这项研究的一个显著特点是特别关注语义在机器人感知和决策过程中的作用。如我们的出版物中所报道,所取得的成果在效率、自主性和实用性方面提升了机器人的能力。