Creating emergent behaviors: two robotics labs that combine reactive behaviors
By Robert M. Harlan, Shelley McClarigan. Technical Symposium on Computer Science Education, 2005
2,403 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/ad7bbf8080b33640c4e395d0bae00516c7c5885d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Housheng Su
- Xiaofan Wang
- Zongli Lin
- Francesco Bullo
- Jingjin Yu
- Daniele Nardi
- Min Wang
- Sonia Martínez
In Biomedical Engineering
- Veysel Gazi
- Daniele Nardi
- Alessandro Farinelli
- Luca Iocchi
- Marco Dorigo
- Lynne E. Parker
- G. Sukhatme
- Sonia Martínez
In Computer Vision and Pattern Recognition
- Wei Ren
- Veysel Gazi
- Vijay R. Kumar
- Herbert G. Tanner
- Khac Duc Do
- Francesco Bullo
- Wenjie Dong
- Magnus Egerstedt
Citations in the corpus
- Flocking of Multi-Agents With a Virtual Leader (2009, background): “Recently, there has also been a surge of interest among control theorists in flocking problems, partly due to the wide applications of flocking in many control areas including cooperative control of mobile robots and design of mobile sensor networks [11]–[13].”
- Sliding-Mode Formation Control for Cooperative Autonomous Mobile Robots (2008, neutral): “Various control strategies for mobile robot formations have been reported in the literature, including behaviorbased methods [3], [4], virtual structure techniques [2], [5], and leader–follower schemes [1], [6]–[9].”
- Flocking of multi-agents with a virtual leader part I: with a minority of informed agents (2007, background): “Recently, there has also been a surge of interest among control theorists in flocking problems, partly due to the wide applications of flocking in many control areas including cooperative control of mobile robots and design of mobile sensor networks [11]–[13].”
- Formations of vehicles in cyclic pursuit (2004, background): “For example, Balch and Arkin [5] evaluated reactive behaviors designed to implement multivehicle formations in combination with rules for collision avoidance and other navigational goals.”
- Distributed Intelligence: Overview of the Field and Its Application in Multi-Robot Systems (2008, background): “This form of interaction also has clear relevance for many military applications.”
- Kinematic Control of Platoons of Autonomous Vehicles (2006, neutral): “New York: Springer-Verlag, 2000, pp. 160–173.”
- Multi-Agent Coordination by Decentralized Estimation and Control (2008, background): “In addition, formation control is one of the most-studied problems in decentralized control [1], [9], [11], [18]–[21], [24], [25], [29], [35], [36], [43], [44].”
- Formation control: a review and a new consideration (2005, background): “The main assumption was that individual robot has a control Lyapunov function.”
- Self-Organized Coordinated Motion in Groups of Physically Connected Robots (2007, background): “The leader-follower paradigm has many different instantiations, in which either the leader role is fixed [27],”
- Formation Control and Collision Avoidance for Multi-agent Non-holonomic Systems: Theory and Experiments (2008, methodology): “Some of the existing approaches, as highlighted by Tanner (2004), include the behavior-based approaches of Balch and Arkin (1998), where an interaction law between the subsystems is defined that leads to the emergence of a collective behavior.”
- Bounded Controllers for Formation Stabilization of Mobile Agents With Limited Sensing Ranges (2007, background): “[3] and [4]), and use of virtual structures (e.”
- 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”
- Distributed Coordination Control of Multiagent Systems While Preserving Connectedness (2007, neutral): “In contrast, the other approach to formation control is the leaderless approach [22], [23].”