Heterogeneous Multi-Robot Dialogues for Search Tasks
نویسندگان
چکیده
Dialogue agents are often designed with the tacit assumption that at any one time, there is but one agent and one human, and that their communication channel is exclusive. We are interested in examining situations in which multiple heterogeneous dialogue agents need to interact with a human interlocutor, and where the communication channel becomes necessarily shared. To this end we have constructed a multi-agent dialogue test-bed on which to study dialogue coordination issues in multirobot scenarios.
منابع مشابه
Map-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots
In this article, a fast and reliable map-merging algorithm is proposed to produce a global two dimensional map of an indoor environment in a multi-robot simultaneous localization and mapping (SLAM) process. In SLAM process, to find its way in this environment, a robot should be able to determine its position relative to a map formed from its observations. To solve this complex problem, simultan...
متن کاملPlanning for a Small Team of Heterogeneous Robots: from Collaborative Exploration to Collaborative Localization
Robots have become increasingly adept at performing a wide variety of tasks in the world. However, many of these tasks can benefit tremendously from having more than a single robot simultaneously working on the problem. Multiple robots can aid in a search and rescue mission each scouting a subsection of the entire area in order to cover it quicker than a single robot can. Alternatively, robots ...
متن کاملWinner Determination for Simultaneous Multi-Robot Task Allocation
Multi-robot task allocation is an important problem for heterogeneous mobile robots. Simultaneous allocations with which multiple tasks are being allocated concurrently tend to lead to more efficient allocations than online or single task allocations. However, the simultaneous allocation also increases the complexity in the winner determination process, especially when robots are required to co...
متن کاملGrounding New Words on the Physical World in Multi-Domain Human-Robot Dialogues
This paper summarizes our ongoing project on developing an architecture for a robot that can acquire new words and their meanings while engaging in multidomain dialogues. These two functions are crucial in making conversational service robots work in real tasks in the real world. Household robots and office robots need to be able to work in multiple task domains and they also need to engage in ...
متن کاملDynamically Formed Heterogeneous Robot Teams Performng Tightly Coordinated Tasks
As we progress towards a world where robots play an integral role in society, a critical problem that remains to be solved is the Pickup Team Challenge; that is, dynamically formed heterogeneous robot teams executing coordinated tasks where little information is known a priori about the tasks, the robots, and the environments in which they will operate. Successful solutions to forming pickup te...
متن کامل