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P15 / digital initiative / ongoing

Smart Realities: Spatial Computing and Connected Systems

Applied R&D across intelligent sensing, spatial computing, AR/XR, IoT and hardware-software integration.

2020-PresentSmart Realities, Ecuador
INTELLIGENT COMPUTATIONAL STACKSmart Realities: Spatial Computing and Connected Systems
01DATA SOURCEinstrument / sensor / simulation
02MODEL DESIGNfeatures / representations / data pipelines
03AI / ML / DLsupervised / unsupervised / NLP
04SCIENTIFIC CODEPython / MATLAB / CUDA / GPU
05DEPLOYembedded / full stack / digital twin / XR
06VALIDATEmetrics / experiments / real-case feedback

Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.

01

Problem or Industrial Need

Emerging-technology concepts often fail to connect interactive software, physical hardware, learning content and a practical delivery strategy.

02

Engineering or Scientific Solution

An independent R&D initiative integrating sensors, embedded systems, data processing, spatial interfaces and web-based engineering applications.

03

Sebastian's Technical Contribution

Led technical research, requirements, architecture, prototype development, testing, team coordination and delivery strategy.

04

Methods and Tools Used

  • Spatial computing and augmented reality
  • IoT and embedded-system integration
  • Interactive and web-based engineering software
  • Scrum, conventional and hybrid delivery
05

Prototype, Simulation and Experimental Evidence

prototype

Functional digital prototypes

Connected interactive software, educational content and hardware-software concepts.

deployment

Cross-functional delivery

Engineers, programmers, designers, animators and writers worked through a coordinated process.

06

Measurable Result or Published Finding

4

cross-functional teams led

Projects moved from concept through development, testing and delivery.

50%

reported project-cost reduction

Architecture, budgeting and resource optimization reduced the AR publication delivery cost.

07

Diagrams and Publications

INTELLIGENT COMPUTATIONAL STACKSmart Realities: Spatial Computing and Connected Systems
01DATA SOURCEinstrument / sensor / simulation
02MODEL DESIGNfeatures / representations / data pipelines
03AI / ML / DLsupervised / unsupervised / NLP
04SCIENTIFIC CODEPython / MATLAB / CUDA / GPU
05DEPLOYembedded / full stack / digital twin / XR
06VALIDATEmetrics / experiments / real-case feedback

Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.

08

Role, Team Attribution, Institution and Project Context

Senior R&D Engineer and independent project lead; Smart Realities, 2020-Present.

Connected work

P132024-2026

Multidisciplinary Mechatronics Project Development

Problem
Multidisciplinary student engineering requires a repeatable path from requirements and models to working prototypes and defensible validation.
Solution
A hybrid project-development framework combining conventional engineering control, Agile practices, technical gates and ABET-aligned outcomes.
Evidence / result
35 multidisciplinary projects coordinated
hybrid deliveryABETprototypingtechnical supervision
View system
P142025-2026

NVIDIA Digital Twins, Simulation and Physical AI

Problem
Engineering education and prototype development needed a shared simulation-to-embedded stack for robotics, digital twins and AI-enabled systems.
Solution
Deployment of NVIDIA Omniverse, Isaac Sim and Jetson across simulation, workshops, supervised projects and collaboration as the first official NVIDIA University Ambassador in Ecuador.
Evidence / result
3 NVIDIA platforms deployed
OmniverseIsaac SimJetsondigital twins
View system
P232025

Autonomous Mobile-Robot Logistics

Problem
Autonomous logistics platforms require motion-planning methods that connect perception and computation with safe mobile-system behaviour.
Solution
A deep motion-planning research workflow developed around autonomous mobile-robot logistics.
Evidence / result
Accepted research output
mobile roboticsmotion planningdeep learningsimulation
View system