A decentralized approach to formation maneuvers

By J. Lawton, R. Beard, B. Young. IEEE Trans. Robotics Autom., 2003

1,092 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4f026f6aac864f5bc07b0f065ec2036046f3d306

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Citations in the corpus

Observer-Based Leader-Following Formation Control Using Onboard Sensor Information (2008, background): “Many other papers, for instance, [2]–[11], also treat formation control of multiple mobile robots with unicycle dynamics, but a problem is that the majority of the existing results require the measurement of the speed of the leader (or the neighbor to be followed) in an inertially fixed coordinate s”
Bounded Controllers for Formation Stabilization of Mobile Agents With Limited Sensing Ranges (2007, methodology): “(ERPS) algorithm in [7] (also for continuous action space) and policy switching in the evolutionary policy iteration (EPI) algorithm in [ 3 ].”
Distributed coordination architecture for multi-robot formation control (2008, neutral): “Keywords: Formation control; Consensus algorithm; Coordination; Multi-robot systems”
Distributed attitude alignment in spacecraft formation flying (2007, background): “Extensions to double integrator dynamics are discussed in References [14–18].”
Region-based shape control for a swarm of robots (2009, methodology): “To control a large group of robots, the potential field approach (Gazi, 2005; Leonard & Fiorelli, 2001; Olfati-Saber, 2006; Pereira & Hsu, 2008) is normally used.”
Swarm Formation Control Utilizing Elliptical Surfaces and Limiting Functions (2009, methodology): “Behavior-based approaches are used to control formations for constellations of spacecraft and for multirobot tasks such as box pushing [29], [30].”
An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, neutral): “Up till now, several approaches have been developed to tackle the problem of multiagent formation control in the literature, such as the behavior-based approach [123], the virtual structure approach [124], [125], the leader-following approach [126], [127], and the consensus approach [4]–[6].”
Distributed Coordination Control of Multiagent Systems While Preserving Connectedness (2007, result): “In contrast, the other approach to formation control is the leaderless approach [22], [23].”
Coordination in multiagent systems and Laplacian spectra of digraphs (2009, background): ““Flocking” requires both maintaining the pattern formed by the objects’ positions (up to translation and/or rotation) and formation maneuvering [31, 35].”
Distributed multi‐vehicle coordinated control via local information exchange (2007, background): “In [14], a bi-directional ring information exchange topology is required for formation keeping between robots.”
Trajectory tracking for non-holonomic cars: A linear approach to controlled leader-follower formation (2010, background): “In the behavior-based approach [1], [17], a desired behavior is assigned to each robot, in accordance to a system’s excitation, thus leading to individual controls that depend on all other robot’s behaviors.”
Decentralized policies for geometric pattern formation (2007, background): “It is possible to show [13] that a Hilare-type robot can be feedback linearized about the hand position, the diffeomorphism that transforms the system in normal form is globally invertible and the corresponding zero dynamics are stable .”
Consensus strategies for cooperative control of vehicle formations (2007, methodology): “Also note that the stability analysis of the internal dynamics of the closed-loop system in (14) and (15) is identical to that of the internal dynamics of a feedback linearised non-holonomic mobile robot dynamic model described in the work of Lawton et al. [3].”