EXPLORING WITH AUGMENTED REALITY-ENABLED HUMAN ROBOTIC COLLABORATION (AR-HRC) SYSTEM: AN INTERACTIVE WORKSHOP WITH COLLABORATIVE ROBOT FOR LIGHTWEIGHT STRUCTURE

Exploring with augmented reality-enabled human robotic collaboration (AR-HRC) system: An Interactive Workshop with collaborative robot for lightweight structure

20th — 22nd April

10:00 AM — 4:00PM (SGT)

3 days

Think Tank 1

10 PAX

WEI WIN LOY
Queensland University of Technology

HAMIDREZQ RAFIZADEH
Queensland University of Technology

SHABNAM LOTIFAN
Queensland University of Technology

NAME
DESIGNATION

This comprehensive three-day workshop provides participants with an immersive opportunity to interact with collaborative robotics using an augmented reality application within fabrication-centric design assignments. In real-world situations, the process of design-fabrication inherently involves uncertainty. This complexity is magnified when dealing with robots that lack the ability to perceive the dynamically evolving environment. By harnessing the potential of augmented reality devices, the envisioned AR-enabled human-robot collaboration (HRC) pipelines not only enable users to seamlessly engage with collaborative robots but also serve as the robotic “eyes,” empowering robots to perceive and adapt to their constantly shiŌing surroundings.

In the workshop, participants will actively engage in the construction of a lightweight structure using the proposed AR-enabled HRC system. Through hands-on activities, they will have the opportunity to design and create modules tailored for lightweight structures, subsequently assembling these modules into a self-supporting architectural piece.

A significant highlight of this workshop is the practical hands-on experience participants will gain in operating the UR10 robot through an AR interface. This direct engagement will provide a deep understanding of the collaborative process and the potential of augmented reality in enhancing it. Additionally, participants will benefit from networking opportunities with industry experts and fellow professionals who share a similar passion for cuƫng-edge robotics and design.

By the end of these three days, participants will not only have expanded their skill set and practical knowledge but will also be equipped with a fresh perspective on the possibilities that lie at the intersection of collaborative robotics, augmented reality, and innovative design-fabrication tasks.

Day 1: Introduction to Collaborative Robotics and Human-Robotic Collaboration Process

Day 2: AR in exploratory manual fabrication

Day 3: AR in HRC

Workshop Objectives

Learn basic programming coding and translating coding into an AR environment and
communicating with cooperative robotic arm using basic programming language.
Learn how to communicate with a cooperative robotic arm, UR10 using an AR interface.
Understand the capability and limitations of a cooperative robotic arm.
Explore how AR could be used to facilitate human-robotic collaboration (HRC) in exploratory
assembly tasks.

The workshop has the capacity to hold 10 participants and it is open to all architectural
professionals, researchers, and robotic enthusiasts from various industries who are interested
in exploring the integration of collaborative robotics via augmented reality application for
creative design-fabrication process. Some experience with Rhino and Grasshopper is preferred
but not required.

– All participants should be wearing long pants, covered shoes throughout the workshop.
– Prior experience with VR/AR headsets (e.g., Meta Quest, Vive, HoloLens, Apple Vision, etc.) will be preferred but not required.
– All participants will require a windows 10 laptop with up-to-date Rhinoceros 7 and Grasshopper
– An AR enabled mobile phone is preferable but not essential.

REGISTRATION CLOSES 18 APRIL 2024

INSTRUCTORS

WEI WIN LOY

PHD CANDIDATE: Queensland University of technology

Loy Wei Win (Loy) is currently a PhD candidate in the School of Design at Queensland University of Technology (QUT). He holds Bachelor’s and Master’s degrees in architectural design. Loy’s research interests encompass interaction design, computational design, robotics, augmented reality, and fabrication-centric design processes. With a passion for merging cutting-edge technology and traditional craftsmanship, he aims to explore how digital design and fabrication tools such as Grasshopper, augmented reality technology and cooperative robotic arms could be integrated into exploratory design-fabrication tasks with the goal to provide assistance to architectural designers in their creative endeavors.

Shabnam Lotifan

PHD CANDIDATE: Queensland University of technology

Shabnam Lotfian is a current PhD candidate in the School of Architecture and Built Environment at Queensland University of Technology (QUT). She holds a bachelor’s in architecture and a master’s degree in architectural technology. Shabnam’s research passions encompass biomimetic design, computational design, and robotic fabrication, with her PhD focusing on robotic incremental sheet forming for bio-inspired lightweight structures. She actively explores diverse robotic fabrication methods and has been involved in a clay 3Dprinting project a collaboration between QUT and UQ, leading to a presentation of their work at the SHErobots exhibition at the University of Sydney. In addition to her research, Shabnam has shared her expertise as a sessional academic, teaching design studios and imparting knowledge in Grasshopper at both QUT and UQ.

Hamidrezq Rafizadeh

PHD CANDIDATE: Queensland University of technology

Hamidreza is a current PhD student at Queensland University of Technology (QUT) in Brisbane. He holds a bachelor’s degree in architecture and a master’s degree in digital architecture. Hamidreza’s research interests lie in the fields of computational design, robotic fabrication, and generative design. He is passionate about exploring the intersection of architecture and technology, specifically focusing on implementing AI and machine learning techniques for architectural robotic fabrication. With a passion for merging cutting-edge technology with architectural design, he aims to explore how AI and machine learning can revolutionize the field of architecture, enabling more efficient and innovative construction processes.

Philip Yuan

professor and associate dean, Tongji University,
Honorary Fellow of American Institute of Architecture (Hon. FAIA).
co-founder, DigitalFUTURES Association,
Editor-in-Chief, Architectural Intelligence journal
founding partner, Archi-Union Architects & Fab-Union Technology

Philip F. Yuan is a professor and associate dean of the College of Architecture and Urban Planning at Tongji University, Honorary Fellow of American Institute of Architecture (Hon. FAIA). He is also the co-founder of DigitalFUTURES Association, a global educational initiative with a particular emphasis on the latest computational design and fabrication technologies, Editor-in-Chief of Architectural Intelligence journal, and founding partner of Archi-Union Architects & Fab-Union Technology. Yuan has served as Thomas Jefferson professor at University of Virginia (2019), the visiting professor at Massachusetts Institute of Technology (2019), and Royal Melbourne Institute of Technology (2021). He has also served as council member of UIA Professional Practice Commission (PPC).

Yuan was attributed with UIA 2023 The Auguste Perret Prize for Technology in Architecture. His work has been recognized with notable awards, including 2022 AIA Open International | Architecture Honor Award, 2022 Dezeen Award Best Civic Building, 2020 ACADIA Innovative Academic Program Award of Excellence and etc.

Yuan has participated in Venice biennale, Chicago biennale, Milan triennial, Tallin biennale, etc. His works have been collected by MOMA New York City, M+ Hong Kong and Centre National d’art et de Culture Georges Pompidou.