Xiaohang Yang’s research while affiliated with Harbin Institute of Technology and other places

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Publications (18)


A Kinematics Control Scheme of Redundant Manipulators Under Unknown Loads or External Forces
  • Article

August 2024

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35 Reads

IEEE Transactions on Systems Man and Cybernetics Systems

Xiaohang Yang

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A kinematics control scheme in acceleration level is proposed to address the trajectory planning problem of redundant space manipulators under unknown loads or external forces. To achieve optimization of the joint torque from multiple sources, which is nonconvex relative to joint angles, quadratic programming (QP) is reconstructed through a novel multilevel simultaneous minimization scheme. This scheme, together with joint velocity norm minimization and physical limits avoidance formulated as the objective function and bound constraint into the QP problem. Subsequently, an extended recurrent neural network and intelligent numerical method, which are proven to converge, are established to solve the problem. Two trajectory tracking path simulations and experiments demonstrate the superb performance of this scheme when the manipulator is subjected to external forces or operating unknown loads. Comparisons with other schemes show that the proposed scheme is safer and more applicable.




Singularity analysis and avoidance for an SSRMS-type reconfigurable space manipulator with a non-spherical wrist and two lockable passive telescopic links
  • Cover Page
  • File available

June 2024

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37 Reads

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A Combined Inverse Kinematics Algorithm Using FABRIK with Optimization

Journal of Intelligent & Robotic Systems

Solving the inverse kinematics of redundant and hyper-redundant manipulators is more challenging because their kinematic redundancy leads to a more complicated mapping from end-effector pose to configuration space. A heuristic inverse kinematics solver, called Forward And Backward Reaching Inverse Kinematics (FABRIK), has been demonstrated to solve the inverse kinematics of complex chain systems with fast convergence and simple implementation. However, as the pose precision of the end-effector increases to a higher value, such as 106 10^{-6} , FABRIK converges slowly in some configurations and thus exhibits unstable convergence behavior. Hence, this paper presents a novel inverse kinematics algorithm that combines FABRIK and the sequential quadratic programming (SQP) algorithm, in which the joint angles deduced by FABRIK will be taken as the initial seed of the SQP algorithm to realize fast convergence. Meanwhile, a universal and non-trivial mapping from joint Cartesian positions to joint angles is included to enable the extension of FABRIK to redundant and hyper-redundant manipulators while retaining its simplicity. With the 106 10^{-6} pose error constraint, quantitative tests on serial chain manipulators demonstrate that the combined algorithm outperforms FABRIK in terms of success rate and runtime. Meanwhile, some popular inverse kinematics algorithms are treated as benchmarks to compare with the combined algorithm. Finally, simulations using serial chain manipulators indicate the effectiveness of the combined algorithm on path tracking.



Citations (6)


... For operations, existing works tend to focus on specific tasks. For instance, Robot Air Hockey [32] is employed for Sim2Real applications in playing air hockey, while Panda MuJoCo Gym [33] benchmarks RL tasks such as pushing, sliding, and object manipulation. A Unity-based Simulator [34] creates game-like scenarios for experimental manipulation for educational purposes. ...

Reference:

Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments
Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator
  • Citing Conference Paper
  • July 2024

... This strategy is designed to handle all types of uncertainties and external disturbances that may arise in the system dynamics. This work is compared to existing works in the same area, as referenced in [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. The suggested research aims to address complex non-linear control issues with fewer assumptions compared to the existing literature. ...

Adaptive neural network control of manipulators with uncertain kinematics and dynamics
  • Citing Article
  • July 2024

Engineering Applications of Artificial Intelligence

... Many papers used an iterative IK method with an approximate closed-form solution as a starting point: Wang, Zhao, Wang, Zhang, Li and Liu (2021) for an R-2R-R-3R arm, and Ma, Xie, Jiang and Liu (2021) for a 2R-3R||-2R arm. (Zhao, Yang, Zhao, Yang and Zhao 2023) also found an iterative solution for an 2R-3R||-2R. The paper states closed-form IK is not possible when using SEW angle. ...

Inverse Kinematics and multi-objective configuration optimization of the SSRMS manipulator
  • Citing Article
  • July 2023

Advances in Space Research

... To enhance the adaptability of a single SSRMS-type manipulator in complex on-orbit tasks, a novel SSRMS-type reconfigurable manipulator with two LPTLs has been proposed. 5 This reconfigurable manipulator retains the advantages of the traditional SSRMS-type manipulator while introducing reconfigurability. It is worth noting that the SSRMS-type reconfigurable manipulator utilizes a novel reconfiguration manner, wherein the required configuration change is achieved by altering the length of the two LPTLs without detaching any links or joints. ...

Inverse kinematics and workspace analysis of a novel SSRMS-type reconfigurable space manipulator with two lockable passive telescopic links

Mechanism and Machine Theory

... Besides the geometric methods [4][5][6][7][8] and the intelligent algorithms [9][10][11] , the IK problem is generally considered as an optimization problem 3 to benefit the advantages of redundant DOFs while avoiding the constraints on each of the joint actuators, i.e., the angular position limit, maximum velocity and acceleration. However, the optimization in real time presents challenges due to the computation complexity of the IK problem under the actuator constraints. ...

General inverse kinematics method for 7-DOF offset manipulators based on arm angle parameterization
  • Citing Article
  • October 2022

Acta Astronautica

... Furthermore, the solution rate is significantly affected by the pre-set value of the parameterized arm angle [26] or joint angle [5,27]. To handle the dependence of the JAP method on the pre-set value of the parameterized joint angle, Zhao et al. [28] performed an exploration of the CCD and the JAP methods jointly to solve the IK problem. ...

Inverse Kinematics of a Novel SSRMS-Type Reconfigurable Manipulator with Lockable Passive Telescopic Links

Lecture Notes in Computer Science