The history around teleoperation and deployment of robotic systems in constrained and dangerous environments such as nuclear is a long and successful one. From the 1940s, robotic manipulators have been used to manipulate dangerous substances and enable work in environments either too dangerous or impossible to be operated by human operators. Through the decades, technical and scientific advances have improved the capabilities of these devices, whilst allowing for more tasks to be performed. In the case of nuclear decommissioning, using such devices for remote inspection and remote handling has become the only solution to work and survey some areas. Such applications deal with challenging environments due to space constrains, lack of up-to-date structural knowledge of the environment and poor visibility, requiring much training and planning to succeed. There is a growing need to speed these deployment processes and to increase the number of decommissioning activities whilst maintaining high levels of safety and performance. Considering the large number of research and innovation being done around improving robotic capabilities, numerous potential benefits could be made by translating them to the nuclear decommissioning use cases. We believe such innovations, in particular improved feedback mechanisms from the environment during training and deployments (i.e., Haptic Digital Twins) and higher modes of assisted or supervised control (i.e., Semi-autonomous operation) can play a large role. We list some of the best practices currently being followed in the industry around teleoperation and robotic deployments and the potential benefits of implementing the aforementioned innovations.
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http://dx.doi.org/10.3389/frobt.2025.1432845 | DOI Listing |
Front Robot AI
February 2025
Department of Electrical and Electronics Engineering, The University of Manchester, Manchester, United Kingdom.
The history around teleoperation and deployment of robotic systems in constrained and dangerous environments such as nuclear is a long and successful one. From the 1940s, robotic manipulators have been used to manipulate dangerous substances and enable work in environments either too dangerous or impossible to be operated by human operators. Through the decades, technical and scientific advances have improved the capabilities of these devices, whilst allowing for more tasks to be performed.
View Article and Find Full Text PDFPNAS Nexus
March 2025
National Academy of Engineering, Washington, DC 20001, USA.
Recent developments in artificial intelligence (AI) and machine learning (ML), driven by unprecedented data and computing capabilities, have transformed fields from computer vision to medicine, beginning to influence culture at large. These advances face key challenges: accuracy and trustworthiness issues, security vulnerabilities, algorithmic bias, lack of interpretability, and performance degradation when deployment conditions differ from training data. Fields lacking large datasets have yet to see similar impacts.
View Article and Find Full Text PDFPrevious works have shown the potential of immersive technologies to make physical activities a more engaging experience. With encountered-type haptic feedback, users can perceive a more realistic sensation for exertion interaction in substitutions reality. Although substitutional reality has utilized physical environments, props, and devices to provide encountered-type haptic feedback, these cannot withstand the fierce force of humans and do not give feedback when users move around simultaneously, such as in combat sports.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
March 2025
Department of Medicine, Division of Neurology, The University of British Columbia, Vancouver, Canada.
Purpose: Social robots are a promising assistive technology to support older adults in home and healthcare environments. Engaging end-users in all stages of social robot research, development, and deployment is critical to adoption. However, the voices of end-users are missing from policies about social robots.
View Article and Find Full Text PDFFront Neurorobot
February 2025
Neusoft Reach Automotive Technology (Shenyang) Co., Ltd., Shenyang, China.
Autonomous driving technology has garnered significant attention due to its potential to revolutionize transportation through advanced robotic systems. Despite optimistic projections for commercial deployment, the development of sophisticated autonomous driving systems remains largely experimental, with the effectiveness of neurorobotics-based decision-making and planning algorithms being crucial for success. This paper delivers a comprehensive review of decision-making and planning algorithms in autonomous driving, covering both knowledge-driven and data-driven approaches.
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