Jul 2026· Robot Learning· pp. 1-21· 1 citation· 29 references
Abstract
: Soft grippers utilize compliant materials to achieve adaptable grasping, yet they often face challenges in accommodating objects with widely varying dimensions due to their fixed kinematic structures. This paper presents the design, fabrication, modeling, and control of a novel soft gripper featuring a rigid-flexible coupled variable range adapter. By integrating a motorized crank-slider mechanism with soft pneumatic fingers, the gripper achieves a dynamic volumetric workspace capable of manipulating objects ranging from compact to large geometries. Theoretical modeling and experimental characterization reveal that the adapter serves a dual purpose: it not only expands the effective workspace but also functions as a mechanical force amplifier, capable of exponentially boosting the contact force through kinematic reconfiguration. Furthermore, an intuitive Human-in-the-Loop (HITL) teleoperation strategy is established using wearable flex sensors. This control framework maps human gestures to robotic actuation, leveraging human visual feedback as a high-level perception loop to validate the open-loop response of the soft actuators. Experimental results demonstrate that this integrated system significantly improves adaptability and payload stability for diverse object geometries compared to fixed-base counterparts.
This letter presents a soft robotic arm–gripper system based on a deployable braided structure, where the arm and gripper are monolithically integrated through spatially varying braiding parameters without rigid connectors. The arm segment adopts a hybrid dual-layer architecture, whose outer constraining layer decouple...
Zufeng Shang, Le Yin, Jia-Rui Chen et al.· IEEE Robotics and Automation...· 0 citations
Soft actuators are widely used in grasping tasks involving irregularly shaped and fragile objects due to their inherent compliance. However, most existing soft actuators lack shape-morphing capabilities, making it difficult to achieve optimal grasping performance when faced with different operational scenarios. Inspire...
Xuan-Hao Zhang, Jian-Tao Yao, Shuai Zhang et al.· IEEE Robotics and Automation...· 0 citations
Existing soft grippers often suffer from slow actuation, continuous energy consumption during grasp maintenance, and limited payload-to-weight ratios, which restrict their application in dynamic and unstructured environments. In addition, fixed-geometry designs and multi-actuator architectures frequently compromise geo...
Tang-Yan Wang, Tian-Yu Cheng, Shao-Kun Wang et al.· Bioinspiration & Biomimetics· 0 citations
Robotic grippers face substantial challenges in grasping and manipulating thin objects. Most existing grippers rely on highly precise approach and grasp motions, which limits robustness and reduces applicability. This paper explores thin-object grasping using books as a representative example. Here, we propose a novel...
Soft robotic hands face trade-offs between flexibility and load capacity, with rigid-palm designs limiting grasping conformity and fully soft structures struggling under payloads. Existing pneumatic systems suffer from tubing interference and poor sealing. This study presents a bioinspired modular hand combining rigi...
Rui-Qi Yin, Chuan-Wang Liu, Zhen-Hao Sun et al.· Robotica (Cambridge. Print)· 0 citations
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