Design Principles for Neurorobotics

Krichmar, Jeffrey L.; Hwu, Tiffany

doi:10.3389/fnbot.2022.882518

Cited by 3 publications

(2 citation statements)

References 96 publications

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“…Based on the long historical progress on intelligent and cognitive machines, researchers extracted key insights and wisdom for building such machines and summarized them in the form of design principles. Krichmar and Edelman [96], [97] suggest the following design principles for brain-based machines:…”

Section: ) Design Principles Of Contemporary Frameworkmentioning

confidence: 99%

Developmental Autonomous Behavior: An Ethological Perspective to Understanding Machines

Isaka

2023

IEEE Access

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Developmental autonomous behavior refers to the general ability of a machine to acquire new skills and behavior from its birth to maturity on its own without human intervention. This article describes the principles of behavior development in machines, providing a practical framework to analyze and synthesize machines with developmental capabilities. Inspired by biological views of behavioral causation, the work emphasizes principled explanations to, not only the "how" question on mechanisms but also the "why" question on causation of behavior development. This ethology-oriented perspective offers a renewed opportunity to construct a theoretical framework from the ground up, overcoming the age-old problems of intrinsic motivation and symbol emergence in autonomous machines. One of the key contributions of this article is the logical explanation of why and how value systems drive successive development of memory functions, resulting in progressive changes in behavior from innate reflexive to episodic, procedural, and autonomic behavior. Another notable contribution is the logical and plausible explanation of why and how a physical sensorimotor system evolves to manipulate its internal memory, fostering conceptual and social behavior development. This article provides an extensive review of prior research, followed by detailed descriptions of the causality and mechanisms of behavior development, and concludes with discussions on criticism, future work, ethics, and system architecture.

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Section: ) Design Principles Of Contemporary Frameworkmentioning

confidence: 99%

Developmental Autonomous Behavior: An Ethological Perspective to Understanding Machines

Isaka

2023

IEEE Access

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“…However, neuro-robots are unique robots embodied in the environment. Also, as they mimic neural processing and most are morphologically similar to humans, they can be used to test brain theories in the laboratory 10.3389/fnbot.2023.1112839 and real-life settings while serving alongside human team members (Krichmar and Hwu, 2022). Policies around neuro-robots would thus need to be more nuanced and detailed.…”

Section: Introductionmentioning

confidence: 99%

When neuro-robots go wrong: A review

Khan

Olds²

2023

Front. Neurorobot.

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Neuro-robots are a class of autonomous machines that, in their architecture, mimic aspects of the human brain and cognition. As such, they represent unique artifacts created by humans based on human understanding of healthy human brains. European Union’s Convention on Roboethics 2025 states that the design of all robots (including neuro-robots) must include provisions for the complete traceability of the robots’ actions, analogous to an aircraft’s flight data recorder. At the same time, one can anticipate rising instances of neuro-robotic failure, as they operate on imperfect data in real environments, and the underlying AI behind such neuro-robots has yet to achieve explainability. This paper reviews the trajectory of the technology used in neuro-robots and accompanying failures. The failures demand an explanation. While drawing on existing explainable AI research, we argue explainability in AI limits the same in neuro-robots. In order to make robots more explainable, we suggest potential pathways for future research.

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Clinical Significance of Robot Manipulators for Grasp, Balance, and Gait Recovery (from the Medical Point of View)

B. Koleva,

R. Yoshinov,

R. Yoshinov

2024

Exploring the World of Robot Manipulators [Working Title]

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Robots and virtual reality are now introduced in clinical neurorehabilitation practice. The inclusion of robots in the complex rehabilitation program supports functional recovery, ameliorates the quality of care, and increases the quality of life of patients. Grasp, balance, and gait are important activities, necessary for autonomy in everyday life. Therefore, grasp and gait recovery are important indices of the efficacy of neurorehabilitation. The application of robotic rehabilitation accelerates the process of grasp and gait training, improves the balance and gait stability, and ameliorates the independence of patients in everyday life. We have clinical experience with patients suffering from different neurological and neurosurgical conditions: hemiparesis after cerebral vascular accident, multiple sclerosis, and Guillain-Barre syndrome and after neurosurgical intervention for brain or spinal cord aneurysm, tumor, or trauma. Here, we present some of our own results in patients with post-stroke hemiparesis and with inferior paraparesis after spinal cord injury. We consider that the introduction of robots in the process of grasp, balance, and gait recovery of patients with neurological conditions and after neurosurgical interventions can be very useful for neurorehabilitation clinical practice.

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Design Principles for Neurorobotics

Cited by 3 publications

References 96 publications

Developmental Autonomous Behavior: An Ethological Perspective to Understanding Machines

Developmental Autonomous Behavior: An Ethological Perspective to Understanding Machines

When neuro-robots go wrong: A review

Clinical Significance of Robot Manipulators for Grasp, Balance, and Gait Recovery (from the Medical Point of View)

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