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 cable robot


Kinematically Controllable Cable Robots with Reconfigurable End-effectors

Zhang, Nan

arXiv.org Artificial Intelligence

To enlarge the translational workspace of cable-driven robots, one common approach is to increase the number of cables. However, this introduces two challenges: (1) cable interference significantly reduces the rotational workspace, and (2) the solution of tensions in cables becomes non-unique, resulting in difficulties for kinematic control of the robot. In this work, we design structurally simple reconfigurable end-effectors for cable robots. By incorporating a spring, a helical-grooved shaft, and a matching nut, relative linear motions between end-effector components are converted into relative rotations, thereby expanding the rotational workspace of the mechanism. Meanwhile, a bearing is introduced to provide an additional rotational degree of freedom, making the mechanism non-redundant. As a result, the robot's motion can be controlled purely through kinematics without additional tension sensing and control.


Stiffness-based Analytic Centre Method for Cable-Driven Parallel Robots

Dona', Domenico, Di Paola, Vincenzo, Zoppi, Matteo, Trevisani, Alberto

arXiv.org Artificial Intelligence

Nowadays, being fast and precise are key requirements in Robotics. This work introduces a novel methodology to tune the stiffness of Cable-Driven Parallel Robots (CDPRs) while simultaneously addressing the tension distribution problem. In particular, the approach relies on the Analytic-Centre method. Indeed, weighting the barrier functions makes natural the stiffness adaptation. The intrinsic ability to adjust the stiffness during the execution of the task enables the CDPRs to effectively meet above-mentioned requirements. The capabilities of the method are demonstrated through simulations by comparing it with the existing approach.


Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task

Reichenbach, Thomas, Clar, Johannes, Pott, Andreas, Verl, Alexander

arXiv.org Artificial Intelligence

This paper presents a method for dynamic adjustment of cable preloads based on the actuation redundancy of \acp{CDPR}, which allows increasing or decreasing the platform stiffness depending on task requirements. This is achieved by computing preload parameters with an extended nullspace formulation of the kinematics. The method facilitates the operator's ability to specify a defined preload within the operation space. The algorithms are implemented in a real-time environment, allowing for the use of optimization in hybrid position-force control. To validate the effectiveness of this approach, a simulation study is performed, and the obtained results are compared to existing methods. Furthermore, the method is investigated experimentally and compared with the conventional position-controlled operation of a cable robot. The results demonstrate the feasibility of adaptively adjusting cable preloads during platform motion and manipulation of additional objects.


Three Types of Robots in Construction And Manufacturing

#artificialintelligence

Since the turn of the 20th century, the role of robots in construction and architecture has grown significantly, and they are pushing the limit in architecture. The cutting-edge field of robotics has attracted many professions' attention. Today, robots are widely utilized in industry, the military, domestic purposes, architectural design, and construction processes. While being intensively investigated by architects and designers, the advancement of robotic systems has significantly altered the available design techniques and started to push the limits of architecture. Robot codes and digital parametric setups may both be altered within seconds.