Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
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Balancing safety and efficiency in large-scale HRC: A dynamic scheduling method confronting temporal and spatial uncertainty of human workers. [PDF]
Xia H, Sun Z, Tong H.
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Physics-constrained multimodal reinforcement learning for local UAV Navigation in complex static obstacle environments. [PDF]
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Joint Access Authentication and Task Collaboration for Dynamic Cross-Domain Resource Management in Satellite Networks. [PDF]
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Trustworthy Agentic AI in Bioinformatics: From Workflow Automation to Traceable and Validated Biological Inference. [PDF]
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Network-oriented neurorehabilitation after stroke: a paradigmatic approach. [PDF]
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Concurrent execution system for action languages
Proceedings of the 15th ACM-IEEE International Conference on Formal Methods and Models for System Design, 2017Traditional methods of managing concurrent processes are difficult and prone to errors. We propose that actions can provide a much simpler approach to the problem. In this paper, we use Temporal Logic of Actions to define an execution system that can be used to concurrently execute programs created with action languages.
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Automated generation and execution of disassembly actions
Robotics and Computer-Integrated Manufacturing, 2021Abstract Product variation and the unavailability of end-of-life product and condition information makes automation of disassembly a significant challenge. Several research attempts have been made employing different techniques to approach uncertainties in the disassembly process automatically, but it has made little influence on industrial ...
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Simultaneous action execution and observation optimise grasping actions
Experimental Brain Research, 2013Action observation and execution share overlapping neural resonating mechanisms. In the present study, we sought to examine the effect of the activation of this system during concurrent movement observation and execution in a prehension task, when no a priori information about the requirements of grasping action was available. Although it is known that
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Reviews the book "Executive Action," by Edmund P. Learned, David N. Ulrich and Donald R. Booz.
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