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Optimal Swarm Formation for Odor Plume Finding

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Cooperative navigation in robotic swarms

Francesco Mondada, Michael Bonani, Stéphane Magnenat, Philippe Rétornaz

We study cooperative navigation for robotic swarms in the context of a general event-servicing scenario. In the scenario, one or more events need to be serviced at specific locations by robots with the required skills. We focus on the question of how the s ...

Springer Verlag2013

Optimal Spatial Formation of Swarm Robotic Gas Sensors in Odor Plume Finding

Ali Marjovi

Finding the best spatial formation of stationary gas sensors in detection of odor clues is the first step of searching for olfactory targets in a given space using a swarm of robots. Considering no movement for a network of gas sensors, this paper formulat ...

Springer Verlag2013

A Plume Tracking Algorithm Based on Crosswind Formations

Alcherio Martinoli, Inaki Navarro Oiza, Thomas Lochmatter

We introduce a plume tracking algorithm based on robot formations. The algorithm is inherently designed for multi-robot systems, and requires at least two robots to collaborate. The robots try to keep themselves centered around the plume while moving upwin ...

Springer-Verlag Berlin2013

Distributed consensus for interaction between humans and mobile robot swarms

The purpose of the demonstrator is to present a novel system for gesture-based interaction between humans and a swarm of mobile robots. The human interacts with the swarm by showing hand gestures using an orange glove. Following initial hand glove detectio ...

2012

Human-Swarm Interaction through Distributed Cooperative Gesture Recognition

The video presents the first results of a Swiss-funded project focusing on symbiotic peer-to-peer interaction and cooperation between humans and robot swarms. As a first step, we considered human-swarm interaction, and selected the use of hand gestures to ...

2012

Communication assisted navigation in robotic swarms: self-organization and cooperation

Francesco Mondada

We present a communication based navigation algorithm for robotic swarms. It lets robots guide each other's navigation by exchanging messages containing navigation information through the wireless network formed among the swarm. We study the use of this al ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Evolutionary Synthesis of Communication-Based Aerial Swarms

Sabine Hauert

Aerial swarms have the potential to search for forest fires, chemical plumes or victims and serve as communication and sensor networks in the sky. Flying robots are interesting for such applications because they are fast, can easily overcome difficult terr ...

EPFL2010

Energy-Time Efficiency in Aerial Swarm Deployment

Dario Floreano, Timothy Stirling

A major challenge in swarm robotics is efficiently deploying robots into unknown environments, minimising energy and time costs. This is especially important with small aerial robots which have extremely limited flight autonomy. This paper compares three d ...

2010

Energy-Efficient Indoor Search by Swarms of Simulated Flying Robots Without Global Information

Dario Floreano, Timothy Stirling

Swarms of flying robots are a promising alternative to ground-based robots for search in indoor environments with advantages such as increased speed and the ability to fly above obstacles. However, there are numerous problems that must be surmounted includ ...

Springer Verlag2010

Bio-inspired and probabilistic algorithms for distributed odor source localization using mobile robots

Thomas Lochmatter

We compare six different algorithms for localizing odor sources with mobile robots. Three algorithms are bio-inspired and mimic the behavior of insects when exposed to airborne pheromones. Two algorithms are based on probability and information theory, and ...

EPFL2010