Latest Papers

ASME Journal of Mechanisms and Robotics

  • Theoretical Analysis of Workspace of a Hybrid Offset Joint
    on December 19, 2024 at 12:00 am

    AbstractOffset joints are widely used in robotics, and literature has demonstrated that axial offset joints can expand the workspace. However, the hybrid offset joint, which incorporates offsets in three orthogonal directions (x, y, and z axes), provides a more flexible and comprehensive range of motion compared to traditional axial offset joints. Therefore, a comprehensive understanding of the workspace of hybrid offset joints with three-directional offsets is essential. First, through a parameter model, the interference motion of hybrid offset joints is studied, considering three different directional offsets and obtaining analytical expressions. Next, based on coordinate transformations, the workspace of this joint is investigated, resulting in corresponding theoretical formulas. In addition, the influence of offset amounts in various directions on the joint’s workspace is examined. Finally, the application of hybrid offset joints in parallel manipulators (PMs) is introduced, highlighting their practical engineering value. Through comparative analysis, it is found that lateral offsets on the x- and y-axes adjust the maximum rotation angles, while the z-axis offset expands the rotational range of these joints. Moreover, by increasing the limit rotation angle of the passive joint in a specific direction, the application of hybrid offset joints in PMs can impact the workspace. These findings offer valuable insights for the design of hybrid offset joints and their applications in robotics.

  • A Novel Delta-Like Parallel Robot With Three Translations and Two Pitch Rotations for Peg-in-Hole Assembly
    on December 19, 2024 at 12:00 am

    AbstractThis paper presents a novel 5-degree-of-freedom (5-DOF) delta-like parallel robot named the double-pitch-delta robot, which can output three translations and two pitch rotations for peg-in-hole assembly. First, the kinematic mechanism of the new robot is designed based on the DOF requirements. Second, the closed-form kinematic model of the double-pitch-delta robot is established. Finally, the workspace of the double-pitch-delta robot is quantitatively analyzed, and a physical prototype of the new robot is developed to verify the effectiveness of the designed mechanism and the established models. Compared with the existing 5-DOF parallel robots with two pitch rotations, the double-pitch-delta robot has a simpler forward displacement model, larger workspace, and fewer singular loci. The double-pitch-delta robot can be also extended as a 6-DOF hybrid robot with the full-cycle tool-axis rotation to satisfy more complex operations. With these benefits, the new robot has a promising prospect in assembly applications.

Fast Kinematic Calibration of a Robotic Manipulator Through a Single Continuous Motion

Abstract

The measurement step of the existing calibration approaches for robotic manipulators can take a considerable amount of time to settle a robotic manipulator down at certain static configurations, making the calibration approaches time-consuming. For applications of robotic manipulators requiring periodic recalibration (e.g., human–robot collaborative production lines and robotic inspecting systems), the time consumption of the data collection phase is a critical issue. This paper proposes a fast kinematic calibration approach for robotic manipulators, based on the measurement of a robotic manipulator tracking only a smooth and continuous time-optimal trajectory, rather than static measurement. Data samples on configurations are recorded continuously without settling the robotic manipulator down. To demonstrate and evaluate the proposed approach, experiments are performed based on a four degrees-of-freedom parallel manipulator. Experiment results show that compared to an existing calibration approach based on static measurement, the proposed approach improves the time efficiency of calibration by 93.13% with only a position accuracy loss of 1.77% and an orientation accuracy loss of 2.36%.

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Journal of Mechanisms and Robotics Open Issues