Abstract
With Moore’s law coming to its limits, the rate of increase in compute power available for processing applications is similarly coming to a halt. This implies that the compute intensive tasks, such as robotics, artificial intelligence, and high-performance space computing need innovative ways to cater their ever-increasing compute needs. One innovative way to solve computational bottlenecks is to bring compute and memory together, as opposed to the Von Neumann computational model, with greater degree of parallelism in an event-based, asynchronous computation paradigm. Neuromorphic computing is one such paradigm that draws its inspiration from the brain. Energy and computational efficiency, asynchronous and event-based processing being its salient features, neuromorphic computing is an area worth exploring for compute intensive tasks. In this paper, the authors explore the possibilities and benefits of neuromorphic computing in robotics, and establish possible research directions that could benefit the robotics domain.
MSc. Tapanta Bhanja
Researcher
Experienced Manufacturing Engineer with a demonstrated history of working in the utilities industry. Skilled in Manufacturing, Engineering, Leadership, Project Management, Image Processing and Artificial Intelligence.
MSc. Tatjana Legler
Researcher
Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on “Optimization of automated visual inspection of common rails using neural networks”. She has been working as a research assistent at the Chair of Machine Tools and Control Systems since November 2017.
Dr.-Ing. Achim Wagner
Professor
PD Dr.-Ing. Achim Wagner (born 1968) is the scientific head of the research area Innovative Factory Systems at the German Research Center for Artificial Intelligence and lecturer in the field of automation technology at the Technical University of Kaiserslautern. His current research focuses on fault-tolerant autonomous production systems and intelligent human-technology systems. After his diploma in information technology, he worked as a scientist and research group leader in the research fields of materials in electrical engineering, medical and rehabilitation robotics, autonomous mobile robots, human-technology interaction and reliable systems at the universities of the Saarland, Mannheim and Heidelberg.
Prof. Dr.-Ing. Martin Ruskowski
Head of Chair Department of Machine Tools and Control Systems (WSKL)
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