Robot motion planners are increasingly being equipped with an intriguing property: human
likeness. This property can enhance human–robot interactions and is essential for a …

Being aware of mutual influences between individuals is a major requirement a robot to
efficiently operate in human populated environments. This is especially true for the …

An approach of mobile multi-agent pursuit based on application of self-organizing feature
map (SOFM) and along with that reinforcement learning based on agent group role …

Dependence between heterogeneous agents has gained attention from researchers
because dependence influences the capabilities of a particular agent in a multi-agent …

This paper presents two domain-independent optimization-based planning algorithms for
efficiently allocating assets that are needed to execute a set of interdependent tasks. The …

The food truck industry has seen substantial expansion in the past few years. Mobile service
flexibility, low capital expenditure and overhead costs are some of the reasons for making it …

Game Theory is a promising approach to acquire coalition formations in multiagent systems.
This paper is focused on the importance of the distributed computation and the dynamic …

Multi-agent Systems (MAS) often needs to pursue a common goal and in order to achieve
that they need to make an effective formation. An approach for coalition formation of multi …

Industry 4.0 focuses on data and the value derived from the data to enhance the customer
experience and improve resource utilization. Industry 4.0 also elaborates on decentralized …

Coalition formation in multi-agent systems seeks to create efficient agents' alliances in order
to perform complex tasks. The main objective of this paper is to measure the impact of the …