This paper proposes a novel nature-inspired meta-heuristic algorithm, named Snow Geese
Algorithm. It is inspired by the migratory behavior of snow geese and emulates the distinctive …

Abstract The deployment of Unmanned Ground Vehicles (UGVs) offers a promising solution
for addressing spatial inefficiency and non-detection zone challenges of the Indoor …

Animals have evolved to rapidly detect and recognize brief and intermittent encounters with
odor packages, exhibiting recognition capabilities within milliseconds. Artificial olfaction has …

The use of robot swarms for odor source localization (OSL) can better adapt to the reality of
unstable turbulence and find chemical contamination or hazard sources faster. Inspired by …

Source localization is significant for mitigating indoor air pollution and safeguarding the well-
being and safety of occupants. While most study focuses on mechanical ventilation and …

This paper introduces a novel approach for improving gas source localization in dynamic
urban environments, employing a swarm of nano-Crazyflie drones through a hybrid strategy …

This paper introduces a distributed optimization scheme for achieving formation control in
multi-agent systems operating under switching networks and external disturbances. The …

Mobile multi-robot systems are well suited for gas leak localization in challenging
environments. They offer inherent advantages such as redundancy, scalability, and …

In this paper, we introduce a novel coordination strategy for a group of autonomous robots
tasked with estimating the source term of an airborne chemical release. This strategy …

Chemical, biological, or radioactive substances may be released in accidents, posing a
threat to human life and property. Due to the dense obstacles and specific structures of …