ไทยTH
UAT 363 · 3(1-4-4) · Year/term 2/1

Unmanned Aircraft Systems Technology for Transportation and Smart Warehousing

เทคโนโลยีระบบอากาศยานไร้คนขับเพื่อการขนส่งและคลังสินค้าอัจฉริยะ

Progress
Notional hours: 135 h (online/self-study 60 · in class/lab 75)

Course description

design of UAS-based transportation and delivery systems, payload and energy management, route planning, indoor and outdoor navigation, inventory counting and tracking, integration with IoT and warehouse-management systems, fleet management, and evaluation of efficiency and safety

Thai description

การออกแบบระบบขนส่งและจัดส่งด้วยอากาศยานไร้คนขับ การจัดการน้ำหนักบรรทุกและพลังงาน การวางแผนเส้นทาง การนำร่องภายในและภายนอกอาคาร การตรวจนับและติดตามสินค้าคงคลัง การเชื่อมต่อ IoT และระบบบริหารคลังสินค้า การจัดการฝูงบิน และการประเมินประสิทธิภาพและความปลอดภัย

Description source: Curriculum draft (revised 28 Sep 2026)Previous site code: DRT 477

Course learning outcomes (CLO)

CLOOutcomePLO
CLO1Design drone delivery missionsPLO2PLO3
CLO2Apply drones and IoT in smart warehousesPLO4PLO5
CLO3Evaluate safety and valuePLO5PLO6

Learning modules

1Drone delivery
Weeks 1–3 · 27 hLesson 80 minquiz2 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

Open module + quiz
2Routing
Weeks 4–6 · 27 hLesson 90 minquiz1 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

Open module + quiz
3Drones in warehouses
Weeks 7–9 · 27 hLesson 90 minquiz2 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

Open module + quiz
4IoT and WMS
Weeks 10–12 · 27 hLesson 90 minquiz2 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

Open module + quiz
5Safety and value
Weeks 13–15 · 27 hLesson 90 minquiz2 KU

Online (before class) · 12 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Intensive lab and field practice recorded in a lab notebook

Learning evidence: Lab notebook signed by the instructor

Open module + quiz

Assessment (draft)

Laboratory performance50%
Reports and lab notebook20%
Practical examination30%

Knowledge domain

D01 Mathematics, physics and statisticsD02 Programming and digital technologyD05 Aircraft, structures and designD06 Control, autopilot and navigationD07 Communications, networks and IoTD09 Law, safety and riskD10 Installation, maintenance and testingD12 Automation, robotics and swarmsD15 Delivery, indoor operations and warehousingD18 Management, innovation and professional practice

Key references

  1. Otto, A., Agatz, N., Campbell, J., Golden, B., & Pesch, E. (2018). Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey. Networks, 72(4), 411–458. link
  2. Wawrla, L., Maghazei, O., & Netland, T. (2019). Applications of drones in warehouse operations (White paper). ETH Zurich, D-MTEC, Chair of Production and Operations Management. link