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Embodied Neuromorphic Artificial Intelligence for robotics: Perspectives, Challenges, and Research Development Stack

Embodied Neuromorphic Artificial Intelligence for Robotics: ...

引用

International Conference on control, Automation, robotics and Vision (ICARCV)

作者： Rachmad Vidya Wicaksana Putra Alberto Marchisio Fakhreddine Zayer Jorge Dias Muhammad Shafique eBrain Lab Division of Engineering New York University (NYU) Abu Dhabi United Arab Emirates Khalifa University United Arab Emirates

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

robotic technologies have been an indispensable part for improving human productivity since they have been helping humans in completing diverse, complex, and intensive tasks in a fast yet accurate and efficient way. Therefore, robotic technologies have been deployed in a wide range of applications, ranging from personal to industrial use-cases. However, current robotic technologies and their computing paradigm still lack embodied intelligence to efficiently interact with operational environments, respond with correct/expected actions, and adapt to changes in the environments. Toward this, recent advances in neuromorphic computing with Spiking Neural Networks (SNN) have demonstrated the potential to enable the embodied intelligence for robotics through bio-plausible computing paradigm that mimics how the biological brain works, known as “neuromorphic artificial intelligence (AI)”. However, the field of neuromorphic AI-based robotics is still at an early stage, therefore its development and deployment for solving real-world problems expose new challenges in different design aspects, such as accuracy, adaptability, efficiency, reliability, and security. To address these challenges, this paper will discuss how we can enable embodied neuromorphic AI for robotic systems through our perspectives: (P1) Embodied intelligence based on effective learning rule, training mechanism, and adaptability; (P2) Cross-layer optimizations for energy-efficient neuromorphic computing; (P3) Representative and fair benchmarks; (P4) Low-cost reliability and safety enhancements; (P5) Security and privacy for neuromorphic computing; and (P6) A synergistic development for energy-efficient and robust neuromorphic-based robotics. Furthermore, this paper identifies research challenges and opportunities, as well as elaborates our vision for future research development toward embodied neuromorphic AI for robotics.

关键词： Training Accuracy Service robots Neuromorphic engineering Spiking neural networks Benchmark testing Energy efficiency Security Artificial intelligence Optimization

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computing and control division colloquium on safety and reliability of complex robotic systems

Computing and Control Division Colloquium on Safety and Reli...

引用

computing and control division colloquium on safety and reliability of complex robotic systems

The proceedings contains 5 papers. Topics discussed include the reliability and safety of robotic systems, manipulators, health risks, endoscopy and remote control.

关键词： robotics

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Using cluster analysis techniques to improve machine reliability

Using cluster analysis techniques to improve machine reliabi...

引用

IEE computing and control division colloquium on Intelligent Measuring systems for control Applications

作者： Matthews, C.P. Warwick, K. Univ of Reading Reading United Kingdom

A system capable of utilizing a large range of sensor inputs for unsupervised control of complex production processes, while maintaining a high level of reliability, is considered. Cluster analysis techniques which have been developed are used to implicitly model the process and analyze the data. The use of clustering techniques for the identification of maintenance requirements on industrial machinery is a novel approach to a problem which normally utilizes very traditional methods. It is expected that the determination of the need for maintenance from automatically collected data rather than visual inspection will improve efficiency and aid reliability through a reduction in unexpected failure.

关键词： Machinery

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safety and standards for advanced robots

Safety and standards for advanced robots

引用

computing and control division colloquium on safety and reliability of complex robotic systems

作者： Pegman, Geoff Intelligent Systems Solutions Ltd Salford United Kingdom

This paper outlines the activities of the National Advanced robotics Research Centre (NARRC) in the promotion of safety and standards for advanced robots. The Centre has been active in this area for the last four years, commencing with the organisation of a seminar on the topic at the Department of Trade and Industry on 10 July 1990.

关键词： Robots

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reliability of remote manipulator systems for use in radiation environments

Reliability of remote manipulator systems for use in radiati...

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computing and control division colloquium on safety and reliability of complex robotic systems

作者： Lauridsen, Kurt Riso Natl Lab Roskilde Denmark

A prototype for a robot was designed to serve as a model teleoperator for hazardous nuclear environments. It is part of a European research program called TELEMAN, which aims to develop advanced teleoperators (robots) for similar conditions. The prototype is designed to be autonomous and highly reliable. Because recovery of stranded machine in nuclear environments may be almost impossible, it is designed not break down totally during work. With this prototype, a reliability model could be set up, identifying possible areas of concern and serving as the basis for the formulation of failure strategies. In addition, it could serve as a tool to set up a ranking of the components and subsystems with respect to radiation tolerance, thereby identifying areas where better equipment or alternative designs should be applied.

关键词： Manipulators

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