Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection
By Andrew Howard, Lynne E. Parker, G. Sukhatme. Int. J. Robotics Res., 2006
330 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/d195e767418460b68853e8abac25ff301c5fb098
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Sajad Saeedi
- Mae L. Seto
- Howard Li
- Michael Trentini
- Richard T. Vaughan
- Lynne E. Parker
- Roland Yves Siegwart
- Francesco Bullo
In Computer Networks and Communications
- Jorge Cortés
- Francesco Bullo
- Sonia Martínez
- Randy A. Freeman
- Kevin M. Lynch
- Wei Ren
- Penghui Yang
- Richard T. Vaughan
In Mechanical Engineering
- Francesco Bullo
- Jorge Cortés
- Richard T. Vaughan
- Sonia Martínez
- Lynne E. Parker
- Roland Yves Siegwart
- Andrew Howard
- Mae L. Seto
Citations in the corpus
- Receding Horizon "Next-Best-View" Planner for 3D Exploration (2016, background): “The concept has been extended to multi–agent exploration e.g. in [21], [22].”
- Multiple‐Robot Simultaneous Localization and Mapping: A Review (2016, methodology): “Table 6: Application of Multiple-robot SLAM Application Description Reference Exploration, Intruder Detection 2D distributed particle filtering using 80 heterogenous ground robots (Howard et al., 2006a)”
- Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (2009, background): “Recent works on multi-robot exploration of unknown environments include [Batalin and Sukhatme, 2004, Burgard et al., 2005, Howard et al., 2006].”
- Trajectory tracking for non-holonomic cars: A linear approach to controlled leader-follower formation (2010, background): “Areas of interest include: space exploration, in the context of robot assisted construction of space stations [2], security surveillance [8], hazardous cleaning labors [23] and exploration of unknown, or dangerous, environments [3], [13].”
- Decentralized Environmental Modeling by Mobile Sensor Networks (2008, background): “There is a large and rapidly growing literature on the use of multirobot systems for a number of other tasks, not reviewed here, such as surveillance, mapping, and localization, including large-scale deployments [19], [23].”
- Distributed Intelligence: Overview of the Field and Its Application in Multi-Robot Systems (2008, background): “For example, a large-scale exploration, mapping, deployment, and detection problem, such as that described in (Howard, Parker, & Sukhatme 2006) can make use of an organizational paradigm to de-fine roles for the high-level abstraction, an application-5 specific knowledge-based approach for…”
- Massively multi-robot simulation in stage (2008, background): “A canonical application for multi-robot systems, with approaches ranging from swarm intelligence to centralized planning, is wireless sensor network deployment and maintenance (see, e.g., Winfield 2000; Howard et al. 2006; Chang and Wang 2008; plus several ICRA articles cited above).”
- Multi-robot Simultaneous Localization and Mapping using Particle Filters (2005, background): “The use of mutual observations between robots has been explored by a number of authors in the context of both multirobot localization (Fox et al. 2000) and mapping (Howard et al. 2006a; Ko et al. 2003).”
- PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning (2018, background): “Given the rapid development of affordable robots with embedded sensing and computation capabilities, manufacturing applications will soon regularly involve the deployment of thousands of robots [1], [2].”