ZHOU, Li ;LIU, Yan . Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints. Articles in Press, [S.l.], v. 0, n.0, p. , april 2025. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/kinematics-based-tracking-control-method-for-operational-robotic-arm-under-multi-environmental-constraints/>. Date accessed: 26 aug. 2025. doi:http://dx.doi.org/.
Zhou, L., & Liu, Y. (0). Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints. Articles in Press, 0(0), . doi:http://dx.doi.org/
@article{.,
author = {Li Zhou and Yan Liu},
title = {Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
keywords = {},
abstract = {The environmental hazards of coal mining operations are extremely high, and the use of robotic arms to replace manual labor is of great importance for improving the safety and economy of the work process. Therefore, a kinematic-based tracking and control method for a mining robotic arm is proposed to address various environmental constraints in coal mining operations, such as spatial limitations, obstacles, and internal and external disturbances. The objective of this method is to address the impact of environmental constraints on the stability of robotic arms, thereby ensuring that the robotic arm is capable of maintaining high precision and stability in complex environments. The results indicated that the robotic arm simulation model constructed by the proposed method had operational thrust extremes of more than 13245 and screw torque extremes of more than 0.1257N.m. The steady state was reached in an average of 0.24s with an error reduction of 2.3%. The disturbance tracker reduced the average error by 2% compared to other methods, and the feedback controller reduced the prediction lag by 5%. This method improves the accuracy and stability of robotic arms in coal mining operations, making it suitable for real-world applications.},
issn = {0039-2480}, pages = {}, doi = {},
url = {https://www.sv-jme.eu/article/kinematics-based-tracking-control-method-for-operational-robotic-arm-under-multi-environmental-constraints/}
}
Zhou, L.,Liu, Y. 0 April 0. Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints. Articles in Press. [Online] 0:0
%A Zhou, Li %A Liu, Yan %D 0 %T Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints %B 0 %9 %! Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints %K %X The environmental hazards of coal mining operations are extremely high, and the use of robotic arms to replace manual labor is of great importance for improving the safety and economy of the work process. Therefore, a kinematic-based tracking and control method for a mining robotic arm is proposed to address various environmental constraints in coal mining operations, such as spatial limitations, obstacles, and internal and external disturbances. The objective of this method is to address the impact of environmental constraints on the stability of robotic arms, thereby ensuring that the robotic arm is capable of maintaining high precision and stability in complex environments. The results indicated that the robotic arm simulation model constructed by the proposed method had operational thrust extremes of more than 13245 and screw torque extremes of more than 0.1257N.m. The steady state was reached in an average of 0.24s with an error reduction of 2.3%. The disturbance tracker reduced the average error by 2% compared to other methods, and the feedback controller reduced the prediction lag by 5%. This method improves the accuracy and stability of robotic arms in coal mining operations, making it suitable for real-world applications. %U https://www.sv-jme.eu/article/kinematics-based-tracking-control-method-for-operational-robotic-arm-under-multi-environmental-constraints/ %0 Journal Article %R %& %P 1 %J Articles in Press %V 0 %N 0 %@ 0039-2480 %8 2025-04-14 %7 2025-04-14
Zhou, Li, & Yan Liu. "Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints." Articles in Press [Online], 0.0 (0): . Web. 26 Aug. 2025
TY - JOUR AU - Zhou, Li AU - Liu, Yan PY - 0 TI - Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints JF - Articles in Press DO - KW - N2 - The environmental hazards of coal mining operations are extremely high, and the use of robotic arms to replace manual labor is of great importance for improving the safety and economy of the work process. Therefore, a kinematic-based tracking and control method for a mining robotic arm is proposed to address various environmental constraints in coal mining operations, such as spatial limitations, obstacles, and internal and external disturbances. The objective of this method is to address the impact of environmental constraints on the stability of robotic arms, thereby ensuring that the robotic arm is capable of maintaining high precision and stability in complex environments. The results indicated that the robotic arm simulation model constructed by the proposed method had operational thrust extremes of more than 13245 and screw torque extremes of more than 0.1257N.m. The steady state was reached in an average of 0.24s with an error reduction of 2.3%. The disturbance tracker reduced the average error by 2% compared to other methods, and the feedback controller reduced the prediction lag by 5%. This method improves the accuracy and stability of robotic arms in coal mining operations, making it suitable for real-world applications. UR - https://www.sv-jme.eu/article/kinematics-based-tracking-control-method-for-operational-robotic-arm-under-multi-environmental-constraints/
@article{{}{.},
author = {Zhou, L., Liu, Y.},
title = {Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
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url = {https://www.sv-jme.eu/article/kinematics-based-tracking-control-method-for-operational-robotic-arm-under-multi-environmental-constraints/}
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TY - JOUR AU - Zhou, Li AU - Liu, Yan PY - 2025/04/14 TI - Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints JF - Articles in Press; Vol 0, No 0 (0): Articles in Press DO - KW - N2 - The environmental hazards of coal mining operations are extremely high, and the use of robotic arms to replace manual labor is of great importance for improving the safety and economy of the work process. Therefore, a kinematic-based tracking and control method for a mining robotic arm is proposed to address various environmental constraints in coal mining operations, such as spatial limitations, obstacles, and internal and external disturbances. The objective of this method is to address the impact of environmental constraints on the stability of robotic arms, thereby ensuring that the robotic arm is capable of maintaining high precision and stability in complex environments. The results indicated that the robotic arm simulation model constructed by the proposed method had operational thrust extremes of more than 13245 and screw torque extremes of more than 0.1257N.m. The steady state was reached in an average of 0.24s with an error reduction of 2.3%. The disturbance tracker reduced the average error by 2% compared to other methods, and the feedback controller reduced the prediction lag by 5%. This method improves the accuracy and stability of robotic arms in coal mining operations, making it suitable for real-world applications. UR - https://www.sv-jme.eu/article/kinematics-based-tracking-control-method-for-operational-robotic-arm-under-multi-environmental-constraints/
Zhou, Li, AND Liu, Yan. "Kinematics-based Tracking Control Method for Operational Robotic Arm under Multi-Environmental Constraints" Articles in Press [Online], Volume 0 Number 0 (14 April 2025)
Articles in Press
The environmental hazards of coal mining operations are extremely high, and the use of robotic arms to replace manual labor is of great importance for improving the safety and economy of the work process. Therefore, a kinematic-based tracking and control method for a mining robotic arm is proposed to address various environmental constraints in coal mining operations, such as spatial limitations, obstacles, and internal and external disturbances. The objective of this method is to address the impact of environmental constraints on the stability of robotic arms, thereby ensuring that the robotic arm is capable of maintaining high precision and stability in complex environments. The results indicated that the robotic arm simulation model constructed by the proposed method had operational thrust extremes of more than 13245 and screw torque extremes of more than 0.1257N.m. The steady state was reached in an average of 0.24s with an error reduction of 2.3%. The disturbance tracker reduced the average error by 2% compared to other methods, and the feedback controller reduced the prediction lag by 5%. This method improves the accuracy and stability of robotic arms in coal mining operations, making it suitable for real-world applications.