Deep learning technology for construction machinery and robotics

K You, C Zhou, L Ding - Automation in construction, 2023 - Elsevier
Construction machinery and robots are essential equipment for major infrastructure. The
application of deep learning technology can improve the construction quality and alleviate …

An autonomous excavator system for material loading tasks

L Zhang, J Zhao, P Long, L Wang, L Qian, F Lu… - Science Robotics, 2021 - science.org
Excavators are widely used for material handling applications in unstructured environments,
including mining and construction. Operating excavators in a real-world environment can be …

Artificial Intelligence Technology for Path Planning of Automated Earthwork Machinery

C Zhou, Y Wang, R Li, T Guan, Z Liu… - Journal of Field …, 2024 - Wiley Online Library
The challenging characteristics of earthwork environments—complex, unstructured, and
constantly evolving—pose significant challenges for the path planning of automated …

Multi-objective time-energy-impact optimization for robotic excavator trajectory planning

H Feng, J Jiang, N Ding, F Shen, C Yin, D Cao… - Automation in …, 2023 - Elsevier
Single-objective optimal trajectory cannot adapt to the complex requirements of excavator
construction. A comprehensive optimal trajectory planning method is proposed to optimize …

Soil-adaptive excavation using reinforcement learning

P Egli, D Gaschen, S Kerscher, D Jud… - IEEE robotics and …, 2022 - ieeexplore.ieee.org
In this letter, we present an excavation controller for a full-sized hydraulic excavator that can
adapt online to different soil characteristics. Soil properties are hard to predict and can vary …

Real-time task-oriented continuous digging trajectory planning for excavator arms

Z Yao, S Zhao, X Tan, W Wei, Y Wang - Automation in Construction, 2023 - Elsevier
Current digging trajectory planning methods for excavator arms are limited to a single
digging cycle, which does not meet the continuous excavation demands of the task. To …

Digital twin-based excavation trajectory generation of Uncrewed excavators for autonomous mining

T Fu, T Zhang, Y Lv, X Song, G Li, H Yue - Automation in Construction, 2023 - Elsevier
As modern large-capacity excavators, cable shovels provide payload capacities of more
than 100-tons per scoop. The presence of a high dynamic payload combined with the self …

Trajectory planning and control of large robotic excavators based on inclination-displacement mapping

H Ding, Z Sang, Z Li, J Shi, Y Wang, D Meng - Automation in Construction, 2024 - Elsevier
This paper proposes a trajectory planning and control method for heavy-duty manipulators
based on inclination-displacement mapping. In this method, inclination sensors are …

Excavation reinforcement learning using geometric representation

Q Lu, Y Zhu, L Zhang - IEEE Robotics and Automation Letters, 2022 - ieeexplore.ieee.org
Excavation of irregular rigid objects in clutter, such as fragmented rocks and wood blocks, is
very challenging due to their complex interaction dynamics and highly variable geometries …

Real-time motion planning of a hydraulic excavator using trajectory optimization and model predictive control

D Lee, I Jang, J Byun, H Seo… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Automation of excavation tasks requires real-time trajectory planning satisfying various
constraints. To guarantee both constraint feasibility and real-time trajectory re-plannability …