PROJECT TITLE :

A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation

ABSTRACT:

Most existing multirobot systems for pattern formation rely on a predefined pattern, which is impractical for dynamic environments where the pattern to be formed should be able to change as the environment changes. In addition, adaptation to environmental changes should be realized based only on local perception of the robots. In this paper, we propose a hierarchical gene regulatory network (H-GRN) for adaptive multirobot pattern generation and formation in changing environments. The proposed model is a two-layer gene regulatory network (GRN), where the first layer is responsible for adaptive pattern generation for the given environment, while the second layer is a decentralized control mechanism that drives the robots onto the pattern generated by the first layer. An evolutionary algorithm is adopted to evolve the parameters of the GRN subnetwork in layer 1 for optimizing the generated pattern. The parameters of the GRN in layer 2 are also optimized to improve the convergence performance. Simulation results demonstrate that the H-GRN is effective in forming the desired pattern in a changing environment. Robustness of the H-GRN to robot failure is also examined. A proof-of-concept experiment using e-puck robots confirms the feasibility and effectiveness of the proposed model.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers ABSTRACT: The use of mapreduce frameworks to analyze ever-increasing volumes of data is expected to continue increasing
PROJECT TITLE : Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction ABSTRACT: At the moment, one of the most cutting-edge approaches for
PROJECT TITLE : Spectral–Temporal Receptive Field-Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification ABSTRACT: In the field of audio signal processing, one area of particular
PROJECT TITLE : SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network ABSTRACT: In order to provide an appropriate level of service to a user, an intelligent robot needs to have
PROJECT TITLE : Hierarchical Prediction and Adversarial Learning For Conditional Response Generation ABSTRACT: When it comes to what and how people communicate in their day-to-day lives, there are a number of underlying factors

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry