The LatinX in System Integration workshop brings together LatinX researchers from academia and industry to share experiences, challenges, and opportunities in the field of system integration. The event aims to foster collaboration among LatinX professionals within and beyond Latin America, engaging participants from LATAM, Asia, Europe, and the United States. Leading researchers will present current advances in robotics, AI, automation, renewable and sustainable energy systems, and related domains, promoting knowledge exchange with the broader scientific and industrial communities. The program includes keynote presentations, short talks by junior Latin American researchers, and a panel discussion to explore collaboration strategies, research trends, and the path to becoming leading scientists in system integration. By connecting established and emerging researchers, the workshop seeks to strengthen international networks and catalyse impactful research collaborations.

As we move toward a future shaped by Society 5.0, collaboration between humans and robots is becoming increasingly essential. This workshop introduces an international research initiative focused on developing Human-Robot (H-R) teams powered by Co-Adaptive Orchestration (AIKO), an AI system that merges human and robot intelligence and physical capabilities into a seamless team. The project aims to integrate foundation models, multimodal human-robot interaction, XR-based communication, and human-centered policy frameworks to ensure safety, efficiency, and well-being. In this workshop, leading researchers from Japan, Sweden, Belgium, Denmark, and the United States will present their current research topics that form the foundation of this initiative. Beyond internal collaboration, the workshop is designed to foster open dialogue and knowledge exchange with the broader robotics, AI, and human-computer interaction communities. Topics include haptic-based skill acquisition, reinforcement learning for adaptive task coordination, XR interfaces for intuitive robot communication, and socio-technical frameworks for aligning AI with human values. This event will be an opportunity to explore future directions for H-R teaming and to invite critical discussions on how we can design AI systems that are not only powerful but also fundamentally human-centered.

The global rise in aging populations presents a pressing societal challenge: how to maintain quality of life and independence for elderly and disabled individuals. Robotics offers promising solutions through adaptable physical assistance systems, such as humanoid robots, wearable devices, and smart mobility aids, that can be integrated into daily living environments. However, to achieve effective and personalized support, these technologies must be grounded in human-centered systems integration that considers not only technical performance but also emotional, behavioral, and cultural factors. This workshop will explore the development and deployment of robotic support systems tailored to the needs of an aging society. A key focus will be on the integration of intelligent sensing, actuation, and control architectures, as well as the use of digital twins, data-driven models that simulate user behavior and environmental context, to enable adaptive, personalized assistance. Discussions will also address challenges in modeling cognitive and emotional states, and the vital role of interdisciplinary collaboration across robotics, AI, behavioral science, and healthcare. Bringing together researchers and practitioners from diverse backgrounds and regions, the workshop aims to foster dialogue on both the technical and societal dimensions of assistive robotics, including user expectations, cultural acceptance, and ethical considerations in the design of next-generation support systems.

Learn how to create an end-to-end hardware-accelerated industrial inspection pipeline to automate manufacturing defect detection. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various industrial inspection use cases. The course is open to all participants. However, only 30 certificate seats are available. To ensure global representation, priority will be given to a balanced group of participants from different regions of the world. It is recommended that participants arrive with prior knowledge and can demonstrate competency in foundational concepts relevant to the workshop in Python 3 programming, possess a basic understanding of Machine Learning and Deep Learning concepts (particularly variations of Convolutional Neural Networks and their pipelines), and show familiarity with data processing and Pandas data structures.