Slide 1: AiWo – Human-Centric AI-Enabled Collaborative Fieldwork Operations
AiWo – HUMAN-CENTRIC AI-ENABLED COLLABORATIVE FIELDWORK OPERATIONS PONSSE EPEC FORWARD’27 ECOSYSTEM WEBINAR 5.9.2025
Slide 2: Guidelines
PONSSE EPEC FORWARD’27 ECOSYSTEM WEBINAR Quidelines • Kindly keep your microphones muted • Webinar will be recorded • Q&A at the end of the webinar • Welcome to follow the Ponsse Epec FORWARD’27 webinar!
Slide 3: Agenda
PONSSE EPEC FORWARD’27 ECOSYSTEM WEBINAR Agenda 13:00 Welcome, Quidelines and Agenda Co-Innovation –project 13:05 AiWo - Human-centric AI-enabled collaborative fieldwork operations Presenter: Mrs Yu Xiao, Associate Professor, Department of Information and Communications Engineering, Aalto University
Slide 4: FORWARD – A Challenger Program by Ponsse Group
FORWARD a — A CHALLENGER PROGRAM BY PONSSE GROUP
Slide 5: AiWo: Human-Centric AI-enabled Collaborative Fieldwork Operations
AiWo: Human-Centric AI-enabled Collaborative Fieldwork Operations Presented by Prof. Yu Xiao from Aalto University yu.xiao@aalto.fi
Slide 6: AiWo is a two-year co-innovation project funded by Business Finland
AiWo is a two-year co-innovation project (06.2025-05.2027) funded by Business Finland, with the total budget of appr. 4 million euro.
Slide 7: AiWo aims to address two internationally recognized challenges
AiWo aims to address two internationally recognized challenges faced in manufacturing, construction and industry design
Slide 8: Two key challenges: process documentation and analysis
Two key challenges encoutered in manufacturing, construction and industrial design 1) Lack of tools for comprehensive process documentation and analysis
Slide 9: Two key challenges: inefficient troubleshooting and support
Two key challenges encoutered in manufacturing, construction and industrial design 2) Inefficient troubleshooting and operative support.
Slide 10: How are we going to address the challenges?
How are we going to address the challenges?
Slide 11: Objectives of AiWo: AI solutions
Objectives of AiWo 1) Develop and demonstrate AI solutions, such as machine vision and large language models (LLMs), for retrieving situationally aware instructions in real time, as well as efficiently documenting and analysing fieldwork operations. Markerless Object Recognition Activity/Task Recogn
Slide 12: Objectives of AiWo: human-centric workflow
Objectives of AiWo 2) Generate a workflow for human-centric AI-enabled collaborative fieldwork operations, and evaluate its impact on the productivity, safety and sustainability of industrial fieldwork operations Digital twins Speech interfaces Human-AI collaboration
Slide 13: Work Packages (WPs)
Work Packages (WPs) • WP1 Data management and sharing (Lead: Aalto University) • WP2 AI Engine (Lead: Aalto University) • WP3 AI-assisted collaboration and interaction (Lead: Tampere University and Turku University of Applied Science) The developed solutions will be evaluated with 8 real-world use c
Slide 14: Milestones
Milestones • Milestone 1 (November 2025): Completion of refining use cases and initiating data collection for AI technology development. • Milestone 2 (August 2026): Development of the core components of AI algorithms and assistance applications, ready for integration. • Milestone 3 (January 2027):
Slide 15: Q&A
Q&A FORWARD a AN ECOSYSTEM PROGRAM BY PONSSE GROUP
Slide 16: Thank you!
THANK YOU! forward27.ponsse.com