Published On 20 November 2025
An accessible overview of the results developed since the project’s launch.
As BEEYONDERS enters its final phase, the project reflects on the wide range of scientific results achieved since its launch in 2022. These outcomes encompass all of its main technological pillars: Robotics, autonomous systems, and UAV-based monitoring; AI and digital twins; and worker safety, wearables and exoskeletons.
These results not only demonstrate significant technological progress, but, being openly accessible, they also support the broader dissemination of knowledge. They promote scientific understanding and encourage innovation across the construction and engineering sectors.
The scientific papers, available on the project’s resource page, are also listed below for ease of reference.
1. Robotics, autonomous systems, and UAV-based monitoring
- Automating Construction Safety Inspections using Robots and Unsupervised Deep Domain Adaptation by Backpropagation
- Introducing Noise for AirSim’s 3D Lidar Sensor to Reduce the Sim2real Gap
- Navigating the Underground: Tackling Localization Challenges for UAVs in Tunnels
- Realistic Unmanned Aerial Vehicle Simulation: A Comprehensive Approach
- Simplifying Autonomous Aerial Operations: LUCAS, a Lightweight Framework for UAV Control and Supervision
2. AI & digital twins
- Automated Hazard Identification in Tower Crane Lifting Operation Using RTK-GNSS Positioning and Tracking
- Automated rule-based safety inspection and compliance checking of temporary guardrail systems in construction
- Automatic Labeling for Thermal Imaging Datasets Generation
- Construction Site Layout Planning and Progress Monitoring Using Computer Vision on Drone Images
- Digital construction site layout planning and real-time trajectory analysis for proactive safety monitoring and control of struck-by hazards
- Digital Twin for Construction Safety Modules in the Plan-Do-Check-Act Cycle of Events and Information Exchange
- From fragmented data to unified construction safety knowledge: A process-based ontology framework for safer work
- Formalizing virtual construction safety training: a schematic data framework enabling real-world hazard simulations using BIM and location tracking
- Increasing Behavioral Predictability with Hazardous Energy in Human-Robot Interaction on Safe Virtual Construction Sites
- Knowledge graph exploitation to enhance the usability of risk assessment in construction safety planning
- Opportunities and challenges of press-in piling for sustainable inner city quay wall development in Amsterdam
- Smart Signalperson for Safe Tower Crane Operations on a Future Digital Construction Site
- State of the Art Review of Technological Advancements for Safe Tower Crane Operation
- Time-Lapse Image Processing for Estimating Construction Equipment Emissions
3. Worker safety, wearables and exoskeletons
- Behavioral Safety Performance Assessment in Construction: a Data-driven Approach in Virtual Reality
- Dynamic and Static Assistive Strategies for a Tailored Occupational Back-Support Exoskeleton: Assessment on Real Tasks Carried Out by Railway Workers
- Framework for the adoption, evaluation and impact of occupational Exoskeletons at different technology readiness levels: A systematic review
- Human activity recognition algorithms for manual material handling activities
- Multi-Exoskeleton Performance Evaluation: Integrated Muscle Energy Indices to Determine the Quality and Quantity of Assistance
- Online Ergonomic Evaluation in Realistic Manual Material Handling Task: Proof of Concept
Picture courtesy of Scott Blake, Unsplash