In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition
due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is …

Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

Search and rescue (SAR) operations can take significant advantage from supporting
autonomous or teleoperated robots and multi-robot systems. These can aid in map** and …

In this work, we introduce SMART-LLM, an innovative framework designed for embodied
multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large …

Agricultural multirobot systems (MRSs) are expected to be essential in future agriculture.
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …

With recent advances in mobile robotics, autonomous systems, and artificial intelligence,
there is a growing expectation that robots are able to solve complex problems. Many of …

Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …

With the advancement of the autonomous mobile robots applied to Warehouses and the
creation of the Robotic Mobile Fulfillment System after the market implementation of the Kiva …

Blockchain technology generates and maintains an immutable digital ledger that records
transactions between agents interacting in a peer-to-peer network. Initially developed for …