6 accepted papers
This paper proposed an iterative learning control (ILC) scheme for deformable open-frame cable-driven parallel robots (D-CDPRs). In contrast to the straightforward inverse kinematics of the rigid frame cable-driven parallel robots (CDPRs), accurate modeling of the deformable frame poses challenges d…
This paper presents a robotic in-hand manipulation technique that can be applied to pick an object too large to grasp in a prehensile manner, by taking advantage of its contact interactions with a curved, passive end-effector, and two flat support surfaces. First, the object is tilted up while being…
In this paper, a computationally efficient model predictive control (MPC) is proposed for the trajectory tracking of cable-driven robots subject to state/input constraints. While MPC has been an effective tool in dealing with various constraints, the primary drawback is the high computational load c…
Deep learning-based image retrieval techniques for the loop closure detection demonstrate satisfactory performance. However, it is still challenging to achieve high-level performance based on previously trained models in different geographical regions. This letter addresses the problem of their depl
This letter introduces a novel approach to verify the feasibility of curved trajectories under both the interference-free (IFC) and wrench-closure (WCC) conditions for spatial cable-driven parallel robots (CDPRs). Existing ray-based methods can only be used either for translation or single degree-of
The study of cable-driven parallel robots (CDPRs) has attracted much attention in recent years. However, to the best of the authors' knowledge, no single software platform exists for researchers to perform different types of analyses for CDPRs of arbitrary structure. In this paper, the Cable-robot A…