Evolutionary techniques in physical robotics
Creative evolutionary systems
On the development of cooperative behavior-based mobile manipulators
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Cooperative Mobile Robotics: Antecedents and Directions
Autonomous Robots
Heterogeneous Teams of Modular Robots for Mapping and Exploration
Autonomous Robots
Evolutionary Techniques in Physical Robotics
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
A Fuzzy Mechanism for Action Selection of Soccer Robots
Journal of Intelligent and Robotic Systems
Mobile robot formation control using a modified leader-follower technique
Integrated Computer-Aided Engineering
A machine-learning approach to multi-robot coordination
Engineering Applications of Artificial Intelligence
Coordinated control algorithm based on the caster-like motion for a car transportation system -iCART
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Cluster space collision avoidance for mobile two-robot systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Fuzzy methods and eye gaze for cooperative robot communication
International Journal of Intelligent Information and Database Systems
Path-planning optimization of underwater microrobots in 3-D space by PSO approach
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
The compass that steered robotics
Logic and Program Semantics
| Hi-index | 0.00 |
The authors wish to organize furniture in a room with a team of robots that can push objects. The authors show how coordinated pushing by robots can change the pose (position and orientation) of objects and then they ask whether planning, global control, and explicit communication are necessary for cooperatively changing the pose of objects. The authors answer in the negative and present, as witnesses, four cooperative manipulation protocols that use different amounts of state, sensing, and communication. The authors analyze these protocols in the information invariant framework. The authors formalize the notion of resource tradeoffs for robot protocols and give the tradeoffs for the specific protocols discussed here.