Emerging Trajectories
Advances in Cyber-Physical Systems, Biorobotics and Cyber-Human Integration
Alma Yolanda Alanís García; Adriana Peña Pérez Negrón; Jorge de Jesús Gálvez Rodríguez; Omar Avalos Álvarez; Eduardo Mendez Palos; Jorge Daniel Ríos Arrañaga
Licencia de minería de texto y datos
Declarado por la editorial el 22 julio 2026 a las 21:48:39 UTC
El titular de derechos se reserva expresamente sus derechos de reproducción, extracción y reutilización para fines de minería de textos y datos (TDM) y de entrenamiento de modelos de inteligencia artificial, de conformidad con el Art. 4(3) de la Directiva (UE) 2019/790, el Art. 53(1)(c) del Reglamento (UE) 2024/1689 (AI Act), el Art. 13 del Acuerdo ADPIC/TRIPS de la OMC, la Decisión Andina 351 de 1993 y las leyes nacionales aplicables en los territorios de residencia del titular, de realización de la reproducción y/o comercialización del Large Language Model u otro tipo de IA resultante.
Esta reserva cubre toda reproducción digital de la obra con independencia del soporte de la copia de origen (impreso o digital) y es efectiva desde la fecha certificada de esta declaración.
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Cualquier uso de la obra para los fines aquí reservados requiere autorización previa y expresa del titular de derechos.
Sello de integridad
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Sobre esta obra
For many years, humans have tried to understand the world by finding patterns and rules hidden within the systems around us. This pursuit encountered two significant challenges: the scarcity of recorded data and limited computational capabilities. Now, the landscape has been transformed. Real-world applications now generate massive amounts of data and computational power has been expanded. However, this originates new challenges. We need better ways for experts from different backgrounds to work together and combine their experiences. Effective collaboration across disciplines requires new methodologies that enable specialists from diverse fields to share insights and integrate their expertise.
This book embodies this spirit of integration, bringing together diverse research topics that collectively drive progress in science and technology. This volume represents more than a collection of papers—it embodies a vision for collaborative research that transcends traditional academic boundaries. By connecting experts from computational intelligence, technological management, bioengineering, robotics, and cyber-physical systems, we build strong conditions for new innovations that address complex challenges of our time.
The contributions within these pages showcase cutting-edge methodologies and novel applications that extend the limits of research and practice. From intelligent algorithms that enhance decision-making processes to adaptive robotic systems that revolutionize manufacturing, and from biomedical designs that transform healthcare to cyber-physical systems that optimize infrastructure, each trajectory demonstrates how interdisciplinary approaches yield exponential rather than incremental progress.
We extend our sincere gratitude to all contributors whose dedication and expertise have made this publication possible. Their willingness to share insights across disciplinary lines exemplifies the collaborative spirit essential for meaningful innovation. We also acknowledge the reviewers whose rigorous evaluation has ensured the quality and relevance of the included works.
As we navigate an increasingly complex technological landscape, this book serves not only as a repository of current knowledge but also as a compass pointing toward promising directions for future exploration. We invite readers to engage deeply in these contributions, question assumptions, forge new connections, and ultimately chart their own innovative trajectories that will shape the next generation of scientific and technological advancement.