Grasping by Spiraling: Reproducing Elephant Movements with Rigid-Soft Robot Synergy
Huishi Huang, Haozhe Wang, Chongyu Fang, Mingge Yan, Ruochen Xu, Yiyuan Zhang, Zhanchi Wang, Fengkang Ying, Jun Liu, Cecilia Laschi, Marcelo H. Ang
TL;DR
This paper addresses replicating elephant trunk grasping with a hybrid rigid–soft robot by leveraging a logarithmic spiral geometry to realize bending and twisting primitives. The authors integrate a rigid Franka arm with a cable-driven soft manipulator and develop a length-based forward kinematic model anchored to the spiral form $r = a e^{b \theta}$, enabling controlled shape evolution from tip to base. They demonstrate nine of seventeen documented elephant grasping strategies and validate the model with motion-capture experiments that yield RMSEs in the range of a few to a few tens of millimeters, highlighting dynamic curvature propagation and stiffness modulation as core capabilities. The work advances cross-scale, adaptable grasping with reduced control complexity and lays the groundwork for future force-controlled, learning-based extensions in unstructured environments.
Abstract
The logarithmic spiral is observed as a common pattern in several living beings across kingdoms and species. Some examples include fern shoots, prehensile tails, and soft limbs like octopus arms and elephant trunks. In the latter cases, spiraling is also used for grasping. Motivated by how this strategy simplifies behavior into kinematic primitives and combines them to develop smart grasping movements, this work focuses on the elephant trunk, which is more deeply investigated in the literature. We present a soft arm combined with a rigid robotic system to replicate elephant grasping capabilities based on the combination of a soft trunk with a solid body. In our system, the rigid arm ensures positioning and orientation, mimicking the role of the elephant's head, while the soft manipulator reproduces trunk motion primitives of bending and twisting under proper actuation patterns. This synergy replicates 9 distinct elephant grasping strategies reported in the literature, accommodating objects of varying shapes and sizes. The synergistic interaction between the rigid and soft components of the system minimizes the control complexity while maintaining a high degree of adaptability.
