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Abstract / Description of output
Neural computing is a powerful paradigm that has revolutionized machine learning. Building from early roots in the study of adaptive behavior and attempts to understand information processing in parallel and distributed neural architectures, modern neural networks have convincingly demonstrated successes in numerous areas—transforming the practice of computer vision, natural language processing, and even computational biology.
Applications in robotics bring stringent constraints on size, weight and power constraints (SWaP), which challenge the developers of these technologies in new ways. Indeed, these requirements take us back to the roots of the field of neural computing, forcing us to ask how it could be that the human brain achieves with as little as 12 watts of power what seems to require entire server farms with state of the art computational and numerical methods. Likewise, even lowly insects demonstrate a degree of adaptivity and resilience that still defy easy explanation or computational replication.
In this Research Topic, we have compiled the latest research addressing several aspects of these broadly defined challenge questions. As illustrated in Figure 1, the articles are organized into four prevailing themes: Sense, Think, Act, and Tools.
Applications in robotics bring stringent constraints on size, weight and power constraints (SWaP), which challenge the developers of these technologies in new ways. Indeed, these requirements take us back to the roots of the field of neural computing, forcing us to ask how it could be that the human brain achieves with as little as 12 watts of power what seems to require entire server farms with state of the art computational and numerical methods. Likewise, even lowly insects demonstrate a degree of adaptivity and resilience that still defy easy explanation or computational replication.
In this Research Topic, we have compiled the latest research addressing several aspects of these broadly defined challenge questions. As illustrated in Figure 1, the articles are organized into four prevailing themes: Sense, Think, Act, and Tools.
Original language | English |
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Article number | 809903 |
Number of pages | 3 |
Journal | Frontiers in Neurorobotics |
Volume | 15 |
DOIs | |
Publication status | Published - 16 Dec 2021 |
Keywords / Materials (for Non-textual outputs)
- robotics
- adaptation
- neuromorphic
- artificial intelligence
- autonomy
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Dive into the research topics of 'Editorial: Robust Artificial Intelligence for Neurorobotics'. Together they form a unique fingerprint.Activities
- 1 Editorial activity
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Frontiers in Neurorobotics (Journal)
Ram Ramamoorthy (Editor), Joe Hays (Editor) & Christian Tetzlaff (Editor)
31 Jan 2022Activity: Publication peer-review and editorial work types › Editorial activity