When planning behaviors for a multi-robot system based on a Temporal Logic specification of the mission, not only actions need to be planned, but also allocation of parts of the mission needs to be considered. Classically, this is seen as two independent problems. However, utilizing the interplay of allocation and planning bears the potential of improving the efficiency to find an optimal solution.This abstract has been presented at the workshop "The What without the How: Specifying Planning Problems in Robotic" as part of the conference Robotics Science and Systems (RSS), 2017.QC 20170822</p
The paper carefully elaborates the current research of the mission planning for multi-robot system i...
Temporal-logic-based languages provide a formal and accurate way to specify complex motion and actio...
Abstract- The inefficiency, exponential amount of communication and computational time are high unde...
When planning behaviors for a multi-robot system based on a Temporal Logic specification of the miss...
This paper describes a framework for automatically generating optimal action-level behavior for a te...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
Task allocation is ubiquitous in computer science and robotics, yet some problems have received limi...
In heterogeneous multi-robot teams, robustness and flexibility are increased by the diversity of the...
There is an ever-increasing demand for multirobotic systems to be deployed in many diverse applicati...
Abstract: Multi-robot task planning (MRTP) is one of the fundamental problems for multi-robot system...
We present an approach for multi-robot integrated task and motion planning that allocates tasks to r...
International audienceMulti-robot task planning (MRTP) is one of the fundamental problems for multi-...
The paper carefully elaborates the current research of the mission planning for multi-robot system i...
Temporal-logic-based languages provide a formal and accurate way to specify complex motion and actio...
Abstract- The inefficiency, exponential amount of communication and computational time are high unde...
When planning behaviors for a multi-robot system based on a Temporal Logic specification of the miss...
This paper describes a framework for automatically generating optimal action-level behavior for a te...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
We propose novel techniques for task allocation and planning in multi-robot systems operating in unc...
Task allocation is ubiquitous in computer science and robotics, yet some problems have received limi...
In heterogeneous multi-robot teams, robustness and flexibility are increased by the diversity of the...
There is an ever-increasing demand for multirobotic systems to be deployed in many diverse applicati...
Abstract: Multi-robot task planning (MRTP) is one of the fundamental problems for multi-robot system...
We present an approach for multi-robot integrated task and motion planning that allocates tasks to r...
International audienceMulti-robot task planning (MRTP) is one of the fundamental problems for multi-...
The paper carefully elaborates the current research of the mission planning for multi-robot system i...
Temporal-logic-based languages provide a formal and accurate way to specify complex motion and actio...
Abstract- The inefficiency, exponential amount of communication and computational time are high unde...