Data-driven AI algorithms for construction machinery
K Liang, J Zhao, Z Zhang, W Guan, M Pan… - Automation in …, 2024 - Elsevier
Based on the transition to Industry 4.0, construction operations are gradually moving
towards large-scale and high-efficiency development. However, excessive manual labor is …
towards large-scale and high-efficiency development. However, excessive manual labor is …
Robust real-time energy management for a hydrogen refueling station using generative adversarial imitation learning
As the demand for hydrogen fuel increases with the rise of fuel-cell electric vehicles
(FCEVs), the energy management of hydrogen refueling stations (HRSs) is crucial for …
(FCEVs), the energy management of hydrogen refueling stations (HRSs) is crucial for …
Integrating extended reality and robotics in construction: A critical review
The rapid development of extended reality (XR), including virtual and augmented reality,
offers promising solutions to mediate human-robot interactions and support robotic …
offers promising solutions to mediate human-robot interactions and support robotic …
Teleoperation-Driven and Keyframe-Based Generalizable Imitation Learning for Construction Robots
The construction industry has long been plagued by low productivity and high injury and
fatality rates. Robots have been envisioned to automate the construction process, thereby …
fatality rates. Robots have been envisioned to automate the construction process, thereby …
Effect of human emotional responses on human-robot team pty in construction
Human-robot collaboration (HRC) is expected to improve construction productivity by
integrating robotic capabilities with human expertise. However, the effects of HRC on human …
integrating robotic capabilities with human expertise. However, the effects of HRC on human …
Integrated reinforcement and imitation learning for tower crane lift path planning
Reinforcement learning (RL) has emerged as a promising solution method for crane-lift path
planning. However, designing appropriate reward functions for tower crane (TC) operations …
planning. However, designing appropriate reward functions for tower crane (TC) operations …
[PDF][PDF] Enabling Building Information Model-Driven Human-Robot Collaborative Construction Workflows with Closed-Loop Digital Twins
Robots can greatly alleviate physical demands on construction workers while enhancing
both the productivity and safety of construction projects. Leveraging a Building Information …
both the productivity and safety of construction projects. Leveraging a Building Information …
Training of construction robots using imitation learning and environmental rewards
Construction robots are challenging the paradigm of labor‐intensive construction tasks.
Imitation learning (IL) offers a promising approach, enabling robots to mimic expert actions …
Imitation learning (IL) offers a promising approach, enabling robots to mimic expert actions …
Enabling Building Information Model-driven human-robot collaborative construction workflows with closed-loop digital twins
The introduction of assistive construction robots can significantly alleviate physical demands
on construction workers while enhancing both the productivity and safety of construction …
on construction workers while enhancing both the productivity and safety of construction …
Multiagent Reinforcement Learning Enhanced Decision-making of Crew Agents During Floor Construction Process
Fine-grained simulation of floor construction processes is essential for supporting lean
management and the integration of information technology. However, existing research …
management and the integration of information technology. However, existing research …