A Multi-Vine Soft Robot Enabling Accessible Working Channel and Steering
- URL: http://arxiv.org/abs/2609.03758v1
- Date: Thu, 03 Sep 2026 12:26:59 GMT
- Title: A Multi-Vine Soft Robot Enabling Accessible Working Channel and Steering
- Abstract summary: A vine robot consists of a thin, flexible, inextensible tube folded inward that everts and grows forward when pressurized.<n>This tip-growth enables navigation with minimal friction, making vine robots well suited for complex environments such as the human colon.<n>We propose a multi-vine architecture in which two vine robots are coupled to an externally integrated working channel via soft mounting tips.
- Score: 3.744611330241908
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Soft eversion robots, also known as vine robots, have attracted growing interest for navigation and inspection tasks, including minimally invasive medical applications [1]. A vine robot consists of a thin, flexible, inextensible tube folded inward that everts and grows forward when pressurized. This tip-growth enables navigation with minimal friction, making vine robots well suited for complex environments such as the human colon [2]. While their inherent softness allows passive conforma- tion to curved pathways in confined spaces, navigation performance strongly depends on environmental inter- actions, including contact angle and the length of un- constrained deployed material [3], [4]. Sharp directional changes, such as those in the sigmoid colon, often limit passive growth and necessitate active steering. Existing solutions include distributed artificial muscles [5] or dedicated tip-based steering mechanisms [6]. In addition, many applications require payload delivery, such as sensors and tools [7], [8]. Within the ERC Synergy project EndoTheranostics, this motivates the development of vine robots capable of delivering micro- surgical tools during growth. Prior work has integrated working channels within the vine body [8], [9], but these approaches constrain tool size, introduce friction, and limit access to the environment to the robot tip. In this work, we propose a multi-vine architecture in which two vine robots are coupled to an externally integrated working channel via soft mounting tips [10]. Independent vine actuation enables active tip steering while advancing the working channel without embed- ding it within the vine bodies Figure 1. Experiments demonstrate sharp steering of nearly 90 degrees during growth, highlighting the potential of this architecture for versatile medical and non-medical applications.
Related papers
- Acoustic-driven millimetric helical robot: ultrasonic synergistic manipulation in confined fluidic environment [22.376630373837926]
Acoustic field-driven manipulation provides a non-contact and non-invasive strategy for controlling microscale and nanoscale objects.<n>Here, a coordinated multi-acoustic-field approach is introduced to enable controlled locomotion of millimeter-scale helical robots.
arXiv Detail & Related papers (2026-08-06T08:30:52Z) - A Compact Top-Loading Robot for Endovascular Interventions: Design, Control and Evaluation [10.95060747006468]
Robot-assisted endovascular intervention can potentially reduce radiation exposure, improve surgeon ergonomics, enable telesurgery, and enhance procedural precision.<n>Existing systems often suffer from limited procedural coverage because constrained patient-side setups, restricted flexibility, and complex instrument exchange hinder clinical workflow integration.<n>This work presents a compact robotic system for endovascular interventions that enables continuous translational and rotational manipulation of standard endovascular instruments.
arXiv Detail & Related papers (2026-07-13T16:35:14Z) - Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot [56.377161933570335]
Humans naturally exploit a "weightless" state during non-self-stabilizing (NSS) motions.<n>Inspired by this biological mechanism, we propose a weightlessness-state auto-labeling strategy for dataset annotation.<n>Our work bridges the gap between precise trajectory tracking and adaptive environmental interaction, offering a biologically-inspired solution for contact-rich humanoid control.
arXiv Detail & Related papers (2026-04-23T07:10:05Z) - A Foldable and Agile Soft Electromagnetic Robot for Multimodal Navigation in Confined and Unstructured Environments [7.685210542640683]
Multimodal locomotion is crucial for an animal's adaptability in unstructured wild environments.<n>Here, we introduce a small-scale compact, foldable, and robust soft electromagnetic robot (M-SEMR) with more than nine locomotion modes.<n>It achieves exceptional agility, including high-speed rolling (818 mm/s, 26 BL/s), omnidirectional crawling, jumping, and swimming.
arXiv Detail & Related papers (2026-03-30T12:30:09Z) - Enabling High-Curvature Navigation in Eversion Robots through Buckle-Inducing Constrictive Bands [6.456672165305407]
We propose a passive approach to reduce bending stiffness by introducing buckling points along the robot's outer wall.<n>We achieve this by integrating inextensible diameter-reducing circumferential bands at regular intervals along the robot body.<n> Experimental results demonstrate that these bands reduce the robot's stiffness when bent at the tip by up to 91 percent.
arXiv Detail & Related papers (2026-01-18T18:12:51Z) - CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation [70.5382178207975]
hIsight Perturbation (CHIP) is a plug-and-play module that enables controllable end-effector stiffness.<n>CHIP is easy to implement and requires neither data augmentation nor additional reward tuning.<n>We show that a generalist motion-tracking controller trained with CHIP can perform a diverse set of forceful manipulation tasks.
arXiv Detail & Related papers (2025-12-16T18:56:04Z) - Inchworm-Inspired Soft Robot with Groove-Guided Locomotion [0.0]
We introduce an inchworm-inspired soft robot whose locomotion direction is controlled passively by patterned substrates.<n>We demonstrate that varying groove angles enables precise control of locomotion direction without the need for complex actuation strategies.<n>This groove-guided approach reduces energy consumption, simplifies robot design, and expands the applicability of bio-inspired soft robots in fields such as search and rescue, pipe inspection, and planetary exploration.
arXiv Detail & Related papers (2025-12-08T18:47:04Z) - Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning [54.26816599309778]
We propose a novel whole-body locomotion algorithm based on dynamic balance and Reinforcement Learning (RL)<n> Specifically, we introduce a dynamic balance mechanism by leveraging an extended measure of Zero-Moment Point (ZMP)-driven rewards and task-driven rewards in a whole-body actor-critic framework.<n> Experiments conducted on a full-sized Unitree H1-2 robot verify the ability of our method to maintain balance on extremely narrow terrains.
arXiv Detail & Related papers (2025-02-24T14:53:45Z) - Learning and Adapting Agile Locomotion Skills by Transferring Experience [71.8926510772552]
We propose a framework for training complex robotic skills by transferring experience from existing controllers to jumpstart learning new tasks.
We show that our method enables learning complex agile jumping behaviors, navigating to goal locations while walking on hind legs, and adapting to new environments.
arXiv Detail & Related papers (2023-04-19T17:37:54Z) - VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait
Representation [78.92147339883137]
We show that it is pivotal in increasing controller robustness by learning a latent space capturing the key stance phases constituting a particular gait.
We demonstrate that specific properties of the drive signal map directly to gait parameters such as cadence, footstep height and full stance duration.
The use of a generative model facilitates the detection and mitigation of disturbances to provide a versatile and robust planning framework.
arXiv Detail & Related papers (2022-05-02T19:49:53Z) - Next Steps: Learning a Disentangled Gait Representation for Versatile
Quadruped Locomotion [69.87112582900363]
Current planners are unable to vary key gait parameters continuously while the robot is in motion.
In this work we address this limitation by learning a latent space capturing the key stance phases constituting a particular gait.
We demonstrate that specific properties of the drive signal map directly to gait parameters such as cadence, foot step height and full stance duration.
arXiv Detail & Related papers (2021-12-09T10:02:02Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.