Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In our previous work,  proposed a potential field-based hybrid path planning scheme for robot navigation that achieves complete coverage in various tasks.  is an extension of this work producing a multiagent framework, Collaborator, that integrates a high-level negotiation-based task allocation protocol with a low-level path planning method taking into consideration several real-world robot limitations such as nonholonomic constraints. Specifically, the proposed framework focuses on a class of complex motion planning problems in which robots need to cover the whole workspace, coordinate the accomplishment of a task, and dynamically change their roles to best fit the task. Applications in this class of problems include bomb detection and removal as ll as rescuing of survivors from accidents or disasters.  have tested the framework in simulations of several tasks and have shown that Collaborator can satisfy nonholonomic constraints, cooperatively accomplish given tasks in an initially unknown dynamic environment while avoiding collision with other team members. Finally  prove that the proposed control laws are stable using the Lyapunov stability theory.
['Jing Ren', 'Mark Green']
I am writing a research paper on a idea Collaborator: A Nonholonomic Multiagent Team for Tasks in a Dynamic Environment
[{"from": "human", "value": "I am writing a research paper on a idea Collaborator: A Nonholonomic Multiagent Team for Tasks in a Dynamic Environment"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In our previous work,  proposed a potential field-based hybrid path planning scheme for robot navigation that achieves complete coverage in various tasks.  is an extension of this work producing a multiagent framework, Collaborator, that integrates a high-level negotiation-based task allocation protocol with a low-level path planning method taking into consideration several real-world robot limitations such as nonholonomic constraints. Specifically, the proposed framework focuses on a class of complex motion planning problems in which robots need to cover the whole workspace, coordinate the accomplishment of a task, and dynamically change their roles to best fit the task. Applications in this class of problems include bomb detection and removal as ll as rescuing of survivors from accidents or disasters.  have tested the framework in simulations of several tasks and have shown that Collaborator can satisfy nonholonomic constraints, cooperatively accomplish given tasks in an initially unknown dynamic environment while avoiding collision with other team members. Finally  prove that the proposed control laws are stable using the Lyapunov stability theory."}]