ArticleScientific reports2025
Adaptive control system for collaborative sorting robotic arms based on multimodal sensor fusion and edge computing.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Fuzzy adaptive nonlinear MIMO control for rigid coupled multibody robots using reinforcement learning model.Scientific reports · 2026Article
- A methodological framework and experimental protocol for proactive human-robot collaboration with multimodal intention prediction and adaptive control.Frontiers in robotics and AI · 2026Article
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Authors and funding
1 author.
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Abstract
This paper presents an innovative adaptive control system for collaborative sorting robotic arms achieving three key technical breakthroughs: (1) a multimodal sensor fusion algorithm integrating vision, force, and position sensors with dynamic reliability weighting achieving 98.7% sorting accuracy, (2) a distributed edge computing architecture enabling 3.2ms average response time through local processing optimization, and (3) adaptive control mechanisms with online learning capabilities delivering 847 items/hour throughput capacity. The system combines advanced fusion algorithms with machine learning techniques to optimize performance under varying operational conditions including payload changes, environmental disturbances, and collaborative coordination requirements. Experimental validation demonstrates 15% improvement in accuracy over commercial systems, 60% reduction in communication latency compared to centralized architectures, and robust operation with maintained performance above 85% during sensor failures. The research contributes to intelligent manufacturing advancement by providing a scalable framework for collaborative robotic sorting applications that adapts to dynamic production requirements while maintaining optimal performance metrics in Industry 4.0 implementations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.