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P13 / education and leadership / deployed

Multidisciplinary Mechatronics Project Development

Technical direction and hybrid delivery across wireless sensing, simulation, AI, robotics, nanotechnology and embedded projects.

2024-2026UIDE, Ecuador
TECHNOLOGY TRANSFER SYSTEMMultidisciplinary Mechatronics Project Development
01RESEARCHscience / engineering / emerging technology
02LABORATORYtools / experiments / simulation platforms
03CURRICULUMABET outcomes / project-based learning
04TEAMSmentoring / hybrid delivery / supervision
05DISSEMINATIONworkshops / talks / conferences
06IMPACTindustry collaboration / validated projects

Research capability is transferred through laboratories, teams, curricula and industry links.

01

Problem or Industrial Need

Multidisciplinary student engineering requires a repeatable path from requirements and models to working prototypes and defensible validation.

02

Engineering or Scientific Solution

A hybrid project-development framework combining conventional engineering control, Agile practices, technical gates and ABET-aligned outcomes.

03

Sebastian's Technical Contribution

Coordinated and technically supervised teams across four semesters, connecting scientific modelling with prototype development and dissemination.

04

Methods and Tools Used

  • Traditional, Agile and hybrid project management
  • Requirements, simulation and design milestones
  • Prototype testing and physical validation
  • Research writing and conference-oriented mentoring
05

Prototype, Simulation and Experimental Evidence

deployment

Four-semester programme

The framework operated across multiple cohorts and multidisciplinary project teams.

06

Measurable Result or Published Finding

35

multidisciplinary projects coordinated

Projects spanned wireless sensing, simulation, AI, digital twins, robotics, nanotechnology and embedded systems.

2

projects advanced toward IEEE dissemination

Technical supervision supported conference-oriented research development.

07

Diagrams and Publications

TECHNOLOGY TRANSFER SYSTEMMultidisciplinary Mechatronics Project Development
01RESEARCHscience / engineering / emerging technology
02LABORATORYtools / experiments / simulation platforms
03CURRICULUMABET outcomes / project-based learning
04TEAMSmentoring / hybrid delivery / supervision
05DISSEMINATIONworkshops / talks / conferences
06IMPACTindustry collaboration / validated projects

Research capability is transferred through laboratories, teams, curricula and industry links.

2025AcceptedJournal of Advanced Research in Applied Sciences and Engineering Technology

Deep Motion Planning for Autonomous Mobile Robot Logistics

Conference research on autonomous mobile-robot logistics and motion planning.

08

Role, Team Attribution, Institution and Project Context

Research Coordinator and Lecturer; technical supervisor and programme coordinator, UIDE.

Connected work

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
P152020-Present

Smart Realities: Spatial Computing and Connected Systems

Problem
Emerging-technology concepts often fail to connect interactive software, physical hardware, learning content and a practical delivery strategy.
Solution
An independent R&D initiative integrating sensors, embedded systems, data processing, spatial interfaces and web-based engineering applications.
Evidence / result
4 cross-functional teams led
XR/ARIoTembedded systemsweb systems
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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
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