Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III: Proceedings from the 2005 International Workshop on Multi-Robot SystemsLynne E. Parker, Frank E. Schneider, Alan C. Schultz Springer Science & Business Media, 2005 - 299 lappuses |
Saturs
The Generation of Bidding Rules for AuctionBased Robot Coordination | 3 |
Issues in MultiRobot Coalition Formation | 10 |
Sensor NetworkMediated MultiRobot Task Allocation | 17 |
Coordination in Dynamic Environments | 25 |
MultiObjective Cooperative Control of Dynamical Systems | 27 |
Levels of MultiRobot Coordination for Dynamic Environments | 39 |
Parallel Stochastic HillClimbing with Small Teams | 51 |
Toward Versatility of MultiRobot Systems | 65 |
HumanRobot Interaction | 169 |
Task Switching and MultiRobot Teams | 171 |
User Modelling for Principled Sliding Autonomy in HumanRobot Teams | 183 |
Applications | 195 |
MultiRobot Chemical Plume Tracing | 197 |
Deploying AirGround MultiRobot Teams in Urban Environments | 209 |
Precision Manipulation with Cooperative Robots | 221 |
Poster Short Papers | 235 |
InformationSensor Sharing and Fusion | 77 |
Decentralized Communication Strategies for Coordinated MultiAgent Policies | 79 |
Improving Multirobot Multitarget Tracking by Communicating Negative Information | 93 |
Enabling Autonomous SensorSharing for TightlyCoupled Cooperative Tasks | 105 |
Distributed Mapping and Coverage | 117 |
Merging Partial Maps without Using Odometry | 119 |
Distributed Coverage of UnknownUnstructured Environments by Mobile Sensor Networks | 131 |
Motion Planning and Control | 143 |
RealTime MultiRobot Motion Planning with Safe Dynamics | 145 |
A MultiRobot Testbed for BiologicallyInspired Cooperative Control | 157 |
A Robust MonteCarlo Algorithm for MultiRobot Localization | 237 |
A DialogueBased Approach to MultiRobot Team Control | 243 |
Hybrid FreeSpace OpticsRadio Frequency FSORF Networks for Mobile Robot Teams | 249 |
Swarming UAVS Behavior Hierarchy | 255 |
LowCost Embedded Networks for Supporting Mobile Robots | 263 |
Role Based Operations | 269 |
A Route to Predictable MultiRobot Systems | 277 |
Author Index | 285 |
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Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III ... Lynne E. Parker,Frank E. Schneider,Alan C. Schultz Ierobežota priekšskatīšana - 2005 |
Bieži izmantoti vārdi un frāzes
action agents algorithm alignment approach Artificial Intelligence attractor Autonomous Robots autonomous system Balrog behaviors bidding rules camera capabilities Carnegie Mellon University chemotaxis coalition formation communication Conference on Robotics configuration constraints cooperative control coverage detect DINTA distributed dynamic environment execution experimental experiments Figure Gerkey given team objective global goal heuristic human IEEE IEEE International Conference implementation initial Intelligent Automata interaction joint beliefs L.E. Parker laser lattice method mobile robots Monte Carlo localization move multi-agent multi-agent systems Multi-Robot Systems multiple robots navigation nodes NP-hard number of robots obstacles optimal parameters partial maps particle filter path performance perimeter POMDP position potential fields problem pursuit-evasion RoboCup robot teams Robotics and Automation Robots and Systems roles rovers scan schemas segments sensor network simulation single robot strategies Sukhatme Swarms to Intelligent switch costs targets task allocation team of robots tion torque tracking
Populāri fragmenti
282. lappuse - A Formal Analysis and Taxonomy of Task Allocation in Multi-robot systems," International Journal of Robotic Research, vol.