Braitenberg swarm vehicles for odour plume tracking in laminar airflow

Author(s):  
Syed Muhammad Mamduh ◽  
Kamarulzaman Kamarudin ◽  
Shaharil Mad Saad ◽  
Ali Yeon Md Shakaff ◽  
Ammar Zakaria ◽  
...  
Keyword(s):  
2021 ◽  
Vol 383 (1) ◽  
pp. 473-483
Author(s):  
Alina Cristina Marin ◽  
Andreas T Schaefer ◽  
Tobias Ackels

Abstract The sense of smell is an essential modality for many species, in particular nocturnal and crepuscular mammals, to gather information about their environment. Olfactory cues provide information over a large range of distances, allowing behaviours ranging from simple detection and recognition of objects, to tracking trails and navigating using odour plumes from afar. In this review, we discuss the features of the natural olfactory environment and provide a brief overview of how odour information can be sampled and might be represented and processed by the mammalian olfactory system. Finally, we discuss recent behavioural approaches that address how mammals extract spatial information from the environment in three different contexts: odour trail tracking, odour plume tracking and, more general, olfactory-guided navigation. Recent technological developments have seen the spatiotemporal aspect of mammalian olfaction gain significant attention, and we discuss both the promising aspects of rapidly developing paradigms and stimulus control technologies as well as their limitations. We conclude that, while still in its beginnings, research on the odour environment offers an entry point into understanding the mechanisms how mammals extract information about space.


2010 ◽  
Vol 70 (2) ◽  
pp. 150-161 ◽  
Author(s):  
Carlton D. Hunt ◽  
Alex D. Mansfield ◽  
Michael J. Mickelson ◽  
Carl S. Albro ◽  
W. Rockwell Geyer ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Awantha Jayasiri ◽  
Raymond G. Gosine ◽  
George K. I. Mann ◽  
Peter McGuire

This paper presents a simulation study of an autonomous underwater vehicle (AUV) navigation system operating in a GPS-denied environment. The AUV navigation method makes use of underwater transponder positioning and requires only one transponder. A multirate unscented Kalman filter is used to determine the AUV orientation and position by fusing high-rate sensor data and low-rate information. The paper also proposes a gradient-based, efficient, and adaptive novel algorithm for plume boundary tracking missions. The algorithm follows a centralized approach and it includes path optimization features based on gradient information. The proposed algorithm is implemented in simulation on the AUV-based navigation system and successful boundary tracking results are obtained.


2013 ◽  
Vol 4 ◽  
Author(s):  
Dickinson Michael ◽  
Van Breugel Floris
Keyword(s):  

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