Bing Xie
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Bing Xie has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Chunguang Wang
School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
1 shared publication - Guozheng Zan
School of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China
1 shared publication - Jiuming Xie
School of Mechanical Engineering, Tianjin Sino-German University of Applied Science 1 , Tianjin 300350, China
1 shared publication - Junsheng Zhang
School of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
1 shared publication - Peng Zhang
School of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China
1 shared publication - Xinghua Lin
School of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China
1 shared publication
Latest Publications
- Open Access
- 20 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 53-59
Research on lower limb exoskeleton suppleness control based on fuzzy variable impedance method
- 20 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 53-59
Open AccessResearch on lower limb exoskeleton suppleness control based on fuzzy variable impedance method
- Open Access
- 12 November 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (22) , 10388
Design and Optimization of Non-Coplanar Orbits for Orbital Photovoltaic Panel Cleaning Robots
Aiming at the problem that it is difficult for an orbital photovoltaic panel cleaning robot to span a large distance between photovoltaic panels, a method of designing and optimizing a non-coplanar orbit based on Bezier curves is proposed. Firstly, the robot’s motion law is analyzed to obtain trajectory data for a single work cycle. Then, Bezier curves are utilized for trajectory design to ensure a smooth transition during the spanning motion phase. Thirdly, with the average value of the minimum distance between the Bezier curve and the point set data of the spanning motion phase as the optimization objective function, the nonlinear planning based on the SQP algorithm was adopted for the optimization of the upper and lower trajectories. Finally, the results of the case calculations indicate that the standard deviation of the optimized upper and lower trajectories was reduced by 35.63% and 40.57%, respectively. Additionally, the ADAMS simulation validation demonstrates that the trajectory errors of the four wheels decreased by a maximum of 8.79 mm, 23.78 mm, 10.11 mm, and 14.97 mm, respectively, thereby confirming the effectiveness of the trajectory optimization.
- 12 November 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (22) , 10388
Open AccessDesign and Optimization of Non-Coplanar Orbits for Orbital Photovoltaic Panel Cleaning Robots
Aiming at the problem that it is difficult for an orbital photovoltaic panel cleaning robot to span a large distance between photovoltaic panels, a method of designing and optimizing a non-coplanar orbit based on Bezier curves is proposed. Firstly, the robot’s motion law is analyzed to obtain trajectory data for a single work cycle. Then, Bezier curves are utilized for trajectory design to ensure a smooth transition during the spanning motion phase. Thirdly, with the average value of the minimum distance between the Bezier curve and the point set data of the spanning motion phase as the optimization objective function, the nonlinear planning based on the SQP algorithm was adopted for the optimization of the upper and lower trajectories. Finally, the results of the case calculations indicate that the standard deviation of the optimized upper and lower trajectories was reduced by 35.63% and 40.57%, respectively. Additionally, the ADAMS simulation validation demonstrates that the trajectory errors of the four wheels decreased by a maximum of 8.79 mm, 23.78 mm, 10.11 mm, and 14.97 mm, respectively, thereby confirming the effectiveness of the trajectory optimization.
- Open Access
An Underactuated Universal Gripper: Design, Analysis, and Experiment
As the working tool of the robot, the importance of the gripper becomes more prominent with the extensive use of the robot. This paper proposes a new type of underactuated universal gripper that can be applied to handle lightweight parts of any shape. It integrates a crank train and a four-bar mechanism to grasp objects. The kinematics and statics analysis of the proposed gripper were carried out; and in this paper, we briefly introduce the concept and control system design. Then, the motion characteristics and grasping ability of the underactuated gripper are presented. A prototype of the gripper was designed and manufactured based on the simulation analysis, and relevant grasping experiments were carried out. The experimental results verify that the proposed universal gripper has the advantages of safe design, easy manufacturing, effective gripping, and stable holding of objects.
Open AccessAn Underactuated Universal Gripper: Design, Analysis, and Experiment
As the working tool of the robot, the importance of the gripper becomes more prominent with the extensive use of the robot. This paper proposes a new type of underactuated universal gripper that can be applied to handle lightweight parts of any shape. It integrates a crank train and a four-bar mechanism to grasp objects. The kinematics and statics analysis of the proposed gripper were carried out; and in this paper, we briefly introduce the concept and control system design. Then, the motion characteristics and grasping ability of the underactuated gripper are presented. A prototype of the gripper was designed and manufactured based on the simulation analysis, and relevant grasping experiments were carried out. The experimental results verify that the proposed universal gripper has the advantages of safe design, easy manufacturing, effective gripping, and stable holding of objects.