A Unified Framework for Soft Robotics: Materials, Modeling, AI-Driven Control, Fabrication, and Global Policy Standards (2025–2040)
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TitleA Comprehensive Unified Framework for Soft Robotics: Advanced Materials, Continuum Modeling, Hybrid AI Control, Fabrication Techniques, and Global Governance Standards (2025–2040)Description (Abstract)This thesis proposes a groundbreaking and integrative framework for soft robotics research and application, overcoming the existing fragmentation across multi-disciplinary domains including advanced materials, continuum mechanics, AI-driven control systems, scalable fabrication technologies, and ethical global policy frameworks. It systematically evaluates elastomers, hydrogels, dielectric actuators, shape-memory materials, and biodegradable composite polymers under rigorous benchmarking protocols focused on mechanical performance, biocompatibility, and sustainability. Advanced modeling integrates Kelvin–Voigt viscoelasticity, Ogden hyperelasticity, and Cosserat rod theories, enhanced through probabilistic reliability assessments and digital twin simulations for real-time prediction and control. The novel hybrid AI-physics control approach, combining model predictive control with reinforcement learning and explainable AI frameworks, ensures adaptable, safe, and interpretable autonomous soft robotic operations. Comparative studies of fabrication pipelines—including mold casting, soft lithography, direct ink writing, and hybrid additive manufacturing—highlight trade-offs between cost-efficiency, reproducibility, scalability, and environmental impact. An innovative governance blueprint aligns with FDA, EU MDR, ISO standards, and UN Sustainable Development Goals (SDGs), proposing the establishment of an International Soft Robotics Governance Council (ISRGC) to harmonize global standards. Validated by multidisciplinary case studies spanning clinical tools, eco-monitoring, and industrial automation, this work sets a new global benchmark for reproducible, ethical, and sustainable soft robotics technology deployment up to 2040 and beyond.Keywords Soft robotics; viscoelastic and hyperelastic modeling; hybrid AI-physics control architectures; reinforcement learning; model predictive control; materials characterization and benchmarking; digital twin simulations; advanced fabrication pipelines; reproducibility and scalability; uncertainty quantification; regulatory compliance (FDA, EU MDR); ISO international standards; governance and ethics in robotics; sustainable and biodegradable materials; interdisciplinary integration; open science protocols; global soft robotics roadmap 2025–2040.
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Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
70%
Source
Open Alex