Publication Type : Conference Proceedings
Publisher : 24th annual International conference on Advanced Computing and Communications (ADCOM 2018)
Source : 24th annual International conference on Advanced Computing and Communications (ADCOM 2018), IIITB, Advanced Computing and Communications Society, IISc, Bangalore (2018)
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2018
Abstract : Reinforcement learning coupled with Neural Networks has been demonstrated to perform well in robotic manipulation tasks. Yet they require large volume of sample data which are trained using huge amount of computing resources. We propose an End-to-End Neural Network architecture based robotic system that can be deployed on embedded platforms such as a Raspberry Pi to perform robotic grasping. The proposed method potentially solves the exploration-exploitation dilemma even under undecidable scenarios.
Cite this Research Publication : P. Sreedhar and Dr. Suja P., “Robotic Grasper based on an End-to-End Neural Architecture using Raspberry Pi”, 24th annual International conference on Advanced Computing and Communications (ADCOM 2018). IIITB, Advanced Computing and Communications Society, IISc, Bangalore, 2018.