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 …

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 …

Optimization-based framework for excavation trajectory generation

Y Yang, P Long, X Song, J Pan… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
In thisletter, we present a novel optimization-based framework for autonomous excavator
trajectory generation under task-specific constraints. Traditional excavation trajectory …

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 …

Spline-based optimal trajectory generation for autonomous excavator

J Zhao, Y Hu, C Liu, M Tian, X **a - Machines, 2022 - mdpi.com
In this paper, we propose a novel trajectory generation method for autonomous excavator
teach-and-plan applications. Rather than controlling the excavator to precisely follow the …

Model Predictive Control for Unmanned Excavator Based on Skilled Operator's Operation Trajectory

Z **, M Gong, D Zhao, B Su, J Zhu, Y Zhang… - IEEE Access, 2024 - ieeexplore.ieee.org
The operational trajectory of a skilled operator holds significant guiding implications for the
motion control of unmanned excavators. This study collects and analyzes the operational …

Trajectory generation for an automated excavator

B Lee, HJ Kim - 2014 14th International Conference on Control …, 2014 - ieeexplore.ieee.org
For autonomous excavating, the trajectories should be generated for specific tasks for an
excavator. We generate the trajectory using virtual motion camouflage (VMC). For trajectory …

Task space-based dynamic trajectory planning for digging process of a hydraulic excavator with the integration of soil–bucket interaction

Z Zou, J Chen, X Pang - … Engineers, Part K: Journal of Multi …, 2019 - journals.sagepub.com
In this paper, a task space-based methodology for dynamic trajectory planning for digging
process of a hydraulic excavator is presented, with the integration of soil–bucket interaction …

Deep learning-based prediction of throttle value and state for wheel loaders

J Huang, X Cheng, Y Shen, D Kong, J Wang - Energies, 2021 - mdpi.com
Accurate prediction of the throttle value and state for wheel loaders can help to achieve
autonomous operation, thereby reducing the cost and accident rate. However, existing …

[PDF][PDF] 智能化挖掘机的研究现状与发展趋势

**运华, 范茹军, 杨丽曼, 赵斌, 权龙 - 机械工程学报, 2020 - scholar.archive.org
智能化挖掘机是传统挖掘机与人工智能, 自动控制和信息物理网络等技术深度融合的产物.
相对于传统挖掘机, 其拥有更高的功率利用率及作业精度, 集远程作业, 环境感知 …