The event brought together industry professionals to discuss engineering, technology, and solutions for conveyor belt systems in mining operations. Throughout the congress, the Godelius team welcomed visitors at its stand, sharing how robotic inspection, automation, and data analytics solutions are improving reliability, safety, and predictive maintenance in material handling systems.

The congress provided a valuable opportunity for meaningful conversations and the exchange of ideas with industry experts focused on maintenance, asset reliability, and operational efficiency. Discussions highlighted the role of advanced technologies in optimizing conveyor belt performance and reducing unplanned downtime.

As part of the conference program, Mauricio Ramirez, Senior Data Scientist at Godelius, presented RADAR (Roller Anomaly Detection through Audio Recognition), a solution that leverages audio analysis and artificial intelligence to detect anomalies in conveyor rollers and anticipate failures before they impact operations.

Godelius extends its thanks to Minegroup for organizing this important industry gathering and to all those who visited the booth and engaged with the team.

The company continues to advance the application of robotics, artificial intelligence, and data analytics to address real challenges in mining operations.

The post Godelius at the 2nd Conveyor Belts Congress by Minegroup appeared first on SK Godelius.

As the world’s leading mining and exploration event, PDAC brought together industry leaders, technology providers, and stakeholders from across the global mining ecosystem. Throughout the event, the Godelius team welcomed visitors at Booth 7223 in the North Pavilion, where they showcased how robotics, automation, and artificial intelligence are transforming mining operations.

Discussions at the booth focused on real-world applications, including inspection, sampling, predictive maintenance, and remote operation in complex and challenging environments. The team engaged with attendees to explore how these technologies can improve safety, increase productivity, and enable more effective data-driven decision-making in the field.

As part of the conference program, Benjamín Valdés Vásquez, Growth Manager at Godelius, delivered a presentation titled “Transforming Safety and Operational Continuity in the Mining Industry.” His talk highlighted how advanced robotics, automation, and AI are helping mining operations reduce risk, enhance safety, and ensure operational continuity through smarter data and predictive insights.

During the event, the Godelius team also held valuable meetings with key stakeholders, including Victor Fedeli, Ontario’s Minister of Economic Development, and Jamie Moses, Manitoba’s Minister of Business, Mining, Trade and Job Creation. These conversations reinforced the importance of collaboration between technology providers, industry leaders, and policymakers in driving innovation across the sector.

PDAC 2026 provided an important platform to connect with partners, exchange perspectives, and continue positioning Godelius’ solutions at the forefront of mining innovation.

The post Godelius at PDAC 2026: Showcasing Robotics and AI for Mining Innovation appeared first on SK Godelius.

The conference brought together industry professionals focused on mineral processing, reliability, and operational efficiency, areas that are closely aligned with the challenges faced by mining operations today.

During the event, Godelius engaged with operators, partners, and industry stakeholders to discuss how robotics, automation, and AI-driven solutions can support inspection, data collection, and predictive maintenance in complex processing environments.

Participation in the CMP National Conference provided an opportunity to exchange perspectives, better understand evolving industry needs, and reinforce Godelius’ commitment to delivering technologies that generate real operational value.

Events like CMP continue to play a key role in fostering collaboration and advancing conversations that drive the mining industry forward.

The post Godelius Attended the 2026 CMP National Conference in Ottawa, Canada appeared first on SK Godelius.

Being selected as one of the top three evaluated solutions reflects the strength of Godelius’ approach to solving real industry challenges through applied technology. This recognition highlights the team’s commitment to developing solutions that deliver measurable value across industrial operations.

The Chile PotencIA Awards aim to promote the adoption of artificial intelligence and advanced technologies in Chile, recognizing organizations that are driving innovation and creating tangible impact.

Godelius extends its appreciation to Fundación País Digital and the Ministry of Science, Technology, Knowledge and Innovation for organizing this initiative, as well as to all partners involved in the evaluation process, including The AI Adoption Initiative, the National Center for Artificial Intelligence, the UDD Data Science Institute, and El Mercurio Innovación.

This recognition reinforces Godelius’ commitment to advancing technologies that generate concrete and measurable value, and to continuing its contribution to the development of AI-driven solutions in Chile and beyond.

The post Godelius Named Finalist in Chile PotencIA Awards 2025 appeared first on SK Godelius.

The upgrade involved the implementation of improved components and enhancements to the overall system, contributing to increased performance and reliability. These improvements support the precise and continuous operation required by one of the world’s most advanced astronomical facilities.

The Very Large Telescope is a critical scientific infrastructure that demands exceptional levels of accuracy, stability, and operational consistency. The successful execution of this project highlights Godelius’ capability to deliver engineering solutions for mission-critical systems operating at extreme levels of scale and precision.

This milestone reinforces Godelius’ commitment to supporting high-performance environments through robust and reliable engineering, and marks an important step toward expanding its contribution to world-class scientific and industrial infrastructure.

The post Godelius Completes Cable Wrap System Upgrade at Paranal Observatory appeared first on SK Godelius.

In this third session, Axel Gudenschwager, Electrical Civil Engineer and Project Submanager at Godelius, presented on Reinforcement Learning and its application to humanoid robotics. The session explored how this approach enables robots to learn through interaction with their environment, improving decision-making and adaptability in complex and dynamic scenarios.

Reinforcement Learning is a key component in the development of next-generation robotic systems, particularly in applications that require autonomy, real-time responses, and the ability to operate in unstructured environments.

The Journal Club continues to bring together data scientists and professionals from a wide range of industries, including finance, retail, robotics, and forensic analysis, fostering collaborative learning and the exchange of technical knowledge across disciplines.

Through this ongoing initiative, Godelius reinforces its commitment to advancing its capabilities in artificial intelligence and supporting the development of innovative, real-world applications.

The post Godelius Advances AI and Machine Learning Journal Club with Focus on Reinforcement Learning appeared first on SK Godelius.

Since its inception in 1983, ICAR has been recognized as one of the world’s leading conferences in robotics, bringing together top researchers, academics, and industry innovators. Supported by the IEEE Robotics and Automation Society, the event showcases cutting-edge research, technical sessions, and industry perspectives that continue to shape the future of robotics.

During this year’s conference, Fernando participated in the special session on Robotics and Mining, a dedicated space focused on how advanced robotics, artificial intelligence, and autonomous systems are transforming operations in complex industrial environments. In his talk, he shared Godelius’ experience in deploying real-world robotic solutions for mining, highlighting the integration of AI, automation, and field-ready technologies.

His participation reflected the growing relevance of mining as a key application area for robotics innovation, particularly in regions where operational challenges demand more adaptive, intelligent, and robust solutions.

ICAR 2025 provided a valuable platform to connect global research with practical industry needs, fostering collaboration between academia and companies working at the forefront of robotics.

Godelius is proud to contribute to these conversations and to be part of a global community advancing the future of robotics through real-world applications.

The post Fernando Bracco Speaks at ICAR 2025 on Robotics and Mining appeared first on SK Godelius.

In this second session, Darío López Díaz, Data Engineer at Confuturo and PhD in Theoretical Physics, presented GraphCast, the weather forecasting model developed by Google DeepMind. The session explored its core principles, deep learning–based architecture, and its ability to generate high-resolution, global-scale predictions.

GraphCast represents a significant step forward in applying artificial intelligence to complex, data-intensive problems, demonstrating how advanced models can improve forecasting accuracy and support better decision-making across industries.

The Journal Club brings together data scientists and professionals from diverse sectors, including finance, retail, robotics, and forensic analysis. The initiative continues to foster collaborative learning and encourage the exchange of technical knowledge across disciplines.

Through this ongoing series, Godelius reinforces its commitment to advancing its capabilities in artificial intelligence and staying at the forefront of innovation.

The post Godelius Continues AI and Machine Learning Journal Club Series appeared first on SK Godelius.

Throughout the event, the Godelius team took part in key activities connecting technology, entrepreneurship, and mining innovation. Arsenio Fernández Ovalle, Strategic Transformation Manager, participated as a mentor, supporting entrepreneurs and sharing insights on how robotics and advanced technologies can generate real impact. Benjamín Valdés Vásquez, Growth Manager, joined a roundtable discussion alongside industry experts to explore innovation opportunities shaping the future of mining.

A highlight of the event was the visit of the President of Chile, Gabriel Boric, who had the opportunity to operate one of Godelius’ robotic solutions. This moment reflected the growing national interest in robotics, automation, and artificial intelligence as key drivers of industrial development.

During the event, Godelius also engaged with attendees through live demonstrations and conversations around its technologies, showcasing applications ranging from autonomous inspection to advanced sampling systems. These solutions illustrate how robotics and AI are enabling safer, more efficient, and data-driven operations across industries.

In addition, Benjamín Valdés Vásquez was featured in an interview with TVN 24 Horas, where he discussed how Godelius’ robotic systems are transforming industries through automation, artificial intelligence, and applied innovation.

EtMday 2025 provided a valuable platform to connect with the innovation ecosystem, exchange ideas, and reinforce Godelius’ commitment to advancing robotics and physical AI solutions in Chile and beyond.

Watch the full interview here: https://www.youtube.com/watch?v=bd6gcCib0VM&t=51s

The post Godelius at EtMday 2025: Driving Innovation in Robotics and AI appeared first on SK Godelius.

The first session featured a presentation by Mauricio Ramirez, Data Scientist at Godelius, who introduced DINOv3, a foundation model for computer vision developed by Meta AI. The session covered the model’s technical foundations and explored its potential applications across industrial use cases.

DINOv3 represents a new generation of self-supervised models capable of learning from vast amounts of unlabeled image data. This approach enables the model to transfer knowledge across tasks such as object detection, segmentation, and advanced visual analysis, opening new opportunities for real-world applications.

The Journal Club brings together data scientists and AI professionals from a range of industries, including finance, retail, robotics, and forensic analysis. The initiative fosters collaborative learning and encourages the exchange of technical knowledge across disciplines.

Through initiatives like this, Godelius continues to strengthen its capabilities in artificial intelligence and reinforces its commitment to staying at the forefront of technological innovation.

The post Godelius Launches New AI and Machine Learning Journal Club Cycle appeared first on SK Godelius.