My research focuses on Physical AI, developing intelligent robotic systems that perceive, decide, and act in complex real-world environments. This involves integrating computer vision for perception, autonomous navigation for action, and LLMs.

Dr. Jorge Vásquez has consistently contributed to the formation of advanced human capital through an integrated approach that combines academic excellence, applied research, and real-world technological development. His training philosophy is centered on project-based learning, where students actively engage in the design, implementation, and validation of AI-driven systems in domains such as robotics, computer vision, and autonomous inspection.

He has supervised and mentored undergraduate and graduate students in topics including reinforcement learning, intelligent perception, simulation, and robotic systems, fostering their ability to address complex engineering challenges. Several of these efforts have led to scientific publications, prototypes, and technology transfer initiatives in collaboration with industry partners.

As part of his academic role at Universidad Adolfo Ibáñez and his leadership in the Physical AI Lab, Dr. Vásquez promotes interdisciplinary training that integrates artificial intelligence, systems engineering, and domain-specific applications in sectors such as mining, infrastructure, and energy. His approach emphasizes the full development cycle of intelligent systems, from theoretical foundations to deployment in operational environments.

In addition, he has played a key role in bridging academia, industry, and the public sector, enabling students and young researchers to participate in applied R\&D projects with tangible impact. This includes collaborations with companies and institutions in Chile, where trainees gain exposure to real constraints, data, and decision-making processes.

Through these activities, Dr. Vásquez contributes to strengthening Chile’s capabilities in emerging areas such as Physical AI, preparing a new generation of engineers and researchers capable of developing scalable, robust, and impactful technological solutions.

Dr. Jorge Vásquez has developed a strong and consistent track record in the dissemination and transfer of research results, combining scientific production with the deployment of real-world technological solutions across defense, infrastructure, and industrial domains.

Scientific Dissemination

Publications in peer-reviewed journals and international venues in artificial intelligence, robotics, and computer vision (e.g., IEEE Access, MDPI).
Research contributions in intelligent perception, reinforcement learning, autonomous systems, and applied computer vision.
Supervision of undergraduate and graduate theses, several leading to prototypes, applied solutions, and research outputs.

Technology Development and Transfer (TRL 4–7)

Design and implementation of AI-based systems for inspection, monitoring, and decision-making in operational environments.
Development of simulation and training platforms in the defense sector, including a virtual shooting range system that evolved into a deployable product with long-term institutional and industrial impact.
Deployment of computer vision solutions for anomaly detection in infrastructure such as roads, energy systems, and industrial assets.

Industry Collaboration and Applied R&D

Participation in collaborative projects with companies and institutions in mining, energy, security, and infrastructure sectors.
Integration of AI models (deep learning, computer vision) into end-to-end operational pipelines, including data acquisition, processing, and decision support.
Experience in co-development environments, aligning research outputs with real operational constraints and industry requirements.

Knowledge Transfer and Outreach

Delivery of seminars, workshops, and courses in AI and robotics for both academic and professional audiences.
Promotion of interdisciplinary initiatives connecting academia, industry, and public sector institutions.
Active role in transferring AI capabilities to Chilean organizations through consulting, applied research, and technological deployment.

Impact and Ecosystem Contribution

Contribution to strengthening Chile’s capabilities in applied artificial intelligence and robotics.
Bridging the gap between research and real-world deployment through full-stack system development (from models to field validation).
Support for the development of technological solutions with measurable operational and economic impact in strategic sectors such as mining, infrastructure, and security.