Social potentials for scalable multi-robot formations

By Tucker R. Balch, Maria Hybinette. Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2000

381 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/2d92ec6c3be280e9604277115883410c0a539d2f

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Citations in the corpus

Swarm robotics: a review from the swarm engineering perspective (2013, background): “Balch and Hybinette (2000) proposed a coordinated motion behavior based on social potentials.”
Coverage control for mobile sensing networks (2002, background): “Issues include formation control [9], [10], [11], [12], cooperative motion planning [13], [14], cooperative manipulation [15], conflict avoidance [16], [17], and architectures for distributed control [18].”
Constrained coverage for mobile sensor networks (2004, positive): “Balch and Hybinette have also developed a method based on social potentials that allows teams of robots to autonomously arrange themselves into geometric patterns while navigating through an obstacle field [10].”
Coverage control for mobile sensing networks (2002, background): “Issues include format ion control [9], [10], [11], [12], cooperative motion planning [13], [14], cooperative manipulation [15], conflict avoidance [1 6], [17], and architectures for distributed control [18].”
Swarm Formation Control Utilizing Elliptical Surfaces and Limiting Functions (2009, methodology): “Other examples of potential field approaches are shown in [ 8 ]–[17].”
Research Advance in Swarm Robotics (2013, background): “Blach and Hybinette [134] presented a new class of potential functions for navigating the swarm towards a goal location in obstacle environment.”
A vision-based formation control framework (2002, background): “Problems in formation control that have been investigated include assignment of feasible formations [14], [15], moving into formation [16], maintenance of formation shape [17], [18], and switching between formations [19], [20].”
A general algorithm for robot formations using local sensing and minimal communication (2002, background): “In [4], simulated robots had a set of attachment sites defined uniformly around the body, allowing the group to “snap” into shape as robots were ‘pulled’ toward each other’s sites.”
Multi-robot formation control and object transport in dynamic environments via constrained optimization (2017, positive): “For example, social potentials were used by Balch and Hybinette (2000), con-trol of rigid body formations by Egerstedt and Hu (2001), abstractions to enclosing shape by Belta and Kumar (2004) and by Michael and Kumar (2008), local planning in formation space by Kloder and Hutchinson (2006), and…”