Learning to coordinate without sharing information
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Integrating topological and metroc maps for mobile robot navigation: a statistical approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
It knows what you're going to do: adding anticipation to a Quakebot
Proceedings of the fifth international conference on Autonomous agents
Learning by Linear Anticipation in Multi-Agent Systems
ECAI '96 Selected papers from the Workshop on Distributed Artificial Intelligence Meets Machine Learning, Learning in Multi-Agent Environments
Planning, learning and coordination in multiagent decision processes
TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems
Anticipatory Behavior in Adaptive Learning Systems
Ikaros: Building cognitive models for robots
Advanced Engineering Informatics
Integration of a prediction mechanism with a sensor model: an anticipatory Bayes filter
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Visual cues-based anticipation for percussionist-robot interaction
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
| Hi-index | 0.00 |
This paper presents an experimental study using two robots. In the experiment, the robots navigated through an area with or without obstacles and had the goal to shift places with each other. Four different approaches (random, reactive, planning, anticipation) were used during the experiment and the times to accomplish the task were compared. The results indicate that the ability to anticipate the behavior of the other robot can be advantageous. However, the results also clearly show that anticipatory and planned behavior are not always better than a purely reactive strategy.