Case File2024
Multi-Agent Exploration for Construction Data Collection
NYU Abu Dhabi · SMART Lab
Challenge, contribution, and outcome
CHALLENGE
Construction sites need cooperative robotic exploration and mapping when obstacles block a single agent's path.
MY CONTRIBUTION
Contributed to the multi-agent exploration system and its Journal of Field Robotics publication — cooperative mapping with human-in-the-loop teleoperation for construction-site data collection.
OUTCOME
Published in the Journal of Field Robotics on multi-agent exploration with human-in-the-loop teleoperation for construction data collection.
Narrative
Cooperative multi-agent robotic system for 3D digitization and data collection in construction environments — one agent explores and maps the space while coordinating with another to clear obstacles, with a human operator in the loop via remote access when needed.
System Record
- Application
- APPConstruction
- Laboratory
- Platforms
- Outcomes
- OUTCOMEPeer-Reviewed Publication
- Period
- 2024
Development & Validation
- Demonstrates autonomous exploration paired with agent-to-agent coordination so the team can keep mapping after an obstacle blocks the path.
- Human-in-the-loop teleoperation backs the autonomous stack when remote support is required to finish the mission.
- Published in the Journal of Field Robotics as an application of multiagent robotic systems and exploration algorithms to construction-site data collection.
Credits & Collaborators
Nikolaos Giakoumidis
NYU Abu Dhabi · SMART Lab
Co-author
Samuel A. Prieto
NYU Abu Dhabi · SMART Lab
Lead author
Borja García de Soto
NYU Abu Dhabi · SMART Lab
Principal Investigator
Evidence
Related
Publications
- Multiagent robotic systems and exploration algorithms: Applications for data collection in construction sites
Journal of Field Robotics 41 (4), 1187–1203 · 2024