Pheromone Robotics

By David W. Payton, Mike Daily, Regina Estkowski, Mike Howard, Craig Lee. SPIE Optics East, 2001

378 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/3801df45b2668b9822a426f6cb877be7abb195cb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Levent Bayindir
2. G. Sukhatme
3. Andrew Howard
4. Maja J. Mataric
5. Radhika Nagpal
6. Lynne E. Parker
7. Michael Lewis
8. Nilanjan Chakraborty

In Control and Systems Engineering

1. Robert J. Wood
2. Andrew Howard
3. Michael Lewis
4. Nilanjan Chakraborty
5. Radhika Nagpal
6. G. Sukhatme
7. Maja J. Mataric
8. Levent Bayindir

In Mechanical Engineering

1. Levent Bayindir
2. G. Sukhatme
3. Lynne E. Parker
4. Andrew Howard
5. Maja J. Mataric
6. Radhika Nagpal
7. Robert J. Wood
8. Michael Lewis

Citations in the corpus

• Human Interaction With Robot Swarms: A Survey (2016, methodology): “been used in [28] to coordinate a swarm to for surveillance, reconnaissance, hazard detection, and path finding.”
• A review of swarm robotics tasks (2016, methodology): “[112] to find the shortest path between two locations is inspired by the work of Payton [106], where a virtual pheromone concept is used to provide navigation information by means of a network of interconnected robots.”
• Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection (2006, background): “…sensor robots had the ability to detect obstacles and each other (beyond the small field of view of the color tracking camera), then swarm-type approaches to deployment would be appropriate, such as reported in: Howard, Mataric, and Sukhatme (2002); Payton et al. (2001); Chakrabarty et al. (2001).”
• Two foraging algorithms for robot swarms using only local communication (2010, background): “In [15], authors use direct infraredbased communication between robots to transmit a kind”
• An Incremental Self-Deployment Algorithm for Mobile Sensor Networks (2002, background): “A distributed algorithm for the deployment of mobile robot teams has been described by (Payton et al., 2001).”
• Teamwork in Self-Organized Robot Colonies (2009, background): “When approaching the problem of controlling swarms of robots, researchers often take inspiration from social insects, and in the case of path formation sometimes directly refer to the term pheromone [51], [66], [67], or to ants [75].”