Mechatronic Design and Control of a Robotized Crane Exploiting Natural Dynamics for Pick-and-Place Applications
Abstract
This paper describes a solution for pick-and-place tasks that do not require high precision throughout the execution, using a robotised gantry crane. Two common issues that occur when using a crane are addressed, and solutions are provided. First, the lack of rotational controllability is overcome by designing a gripper that passively aligns itself with the handle of the payload using a simple, robust control strategy. Second, the active workspace is expanded by using controlled, dynamic motions, based on a variable-length pendulum model. Thus, the workspace is no longer limited to positions directly accessible from above, as is the case with quasi-static control methods. The robustness and effectiveness of the proposed solution was validated by a grasping, and a shelf insertion experiment. The robot was able to grasp the payload during all 48 trials. Failures were detected and recovery strategies were implemented. The handle could also be reliably ungrasped. During the shelf insertion, imperfect trajectory tracking caused a significant error during the unobservable part of the trajectory. Nevertheless, the actual placement position was always close to the desired position.
Fields of Study & Subjects
Dynamics and Control of Mechanical Systems
Robotic Mechanisms and Dynamics
Robot Manipulation and Learning
Publication details
- Journal / source
- IEEE Transactions on Robotics
- Volume
- 42
- Pages
- 782–798
- Publication date
- 1 January 2026
- Language
- EN