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arxiv: 2604.15907 · v1 · submitted 2026-04-17 · 💻 cs.RO

A Reconfigurable Pneumatic Joint Enabling Localized Selective Stiffening and Shape Locking in Vine-Inspired Robots

Ayodele James Oyejide , Ustaz A. Yaqub , Samir Erturk , Eray A. Baran , Fabio Stroppa This is my paper

Pith reviewed 2026-05-10 08:34 UTC · model grok-4.3

classification 💻 cs.RO
keywords soft roboticsvine robotspneumatic jointslocalized stiffeningshape lockingtip eversionpayload transportreconfigurable actuation
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The pith

Reconfigurable pneumatic joints add localized stiffness to vine robots, enabling shape retention and payload transport without halting continuous eversion growth.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Vine-inspired robots excel at navigating confined spaces via tip eversion but struggle in free space due to insufficient axial stiffness and inability to hold shapes under load. This work introduces an RPJ architecture using symmetrically placed pneumatic chambers that can be pressurized to increase bending stiffness at discrete points along the body. The design keeps global compliance for safe navigation while allowing selective rigidity for better performance. A sympathetic reader would see this as a step toward making these robots useful for manipulation and exploration tasks outside tightly constrained environments.

Core claim

The RPJ module consists of symmetrically distributed pneumatic chambers integrated along the robot body; when pressurized, these chambers raise local bending stiffness to enable selective stiffening and shape locking, while the overall structure still supports uninterrupted tip eversion and tendon-driven steering.

What carries the argument

The RPJ, a set of symmetrically distributed pneumatic chambers that locally raise bending stiffness upon pressurization to decouple global compliance from localized rigidity.

If this is right

  • Improved shape retention occurs during bending maneuvers.
  • Gravitational deflection decreases under external loads.
  • Cascading retraction becomes possible.
  • Reliable payload transport reaches 202 g in free space.
  • The robot gains capability for manipulation-oriented tasks such as object sorting.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same chamber-based stiffening principle could apply to other soft growing robot morphologies.
  • Combining RPJs with additional sensing might allow feedback-controlled shape adaptation.
  • Scaling the base station could support longer deployments in larger open areas.
  • Pressure tuning ranges suggest compatibility with battery-powered portable systems.

Load-bearing premise

Adding the RPJ modules and their pressure lines does not interfere with continuous tip eversion or the robot's overall compliance.

What would settle it

A test in which the robot stops everting continuously once RPJ modules are installed, or deflects excessively under a 202 g payload, would show the stiffening cannot be added without compromising growth or load capacity.

Figures

Figures reproduced from arXiv: 2604.15907 by Ayodele James Oyejide, Eray A. Baran, Fabio Stroppa, Samir Erturk, Ustaz A. Yaqub.

Figure 1
Figure 1. Figure 1: Proposed concept for achieving localized stiffness modulation and [PITH_FULL_IMAGE:figures/full_fig_p001_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Schematic of an RPJ node. (a) Single fabric-reinforced chamber in the [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Interaction between the RPJ and the trunk. (a) Both RPJ and trunk [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Side axial cross section of the RPJ-based vine robot. (a) Unactuated [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 6
Figure 6. Figure 6: Fabrication sequence of the RPJ-based vine robot. (A) Formation of [PITH_FULL_IMAGE:figures/full_fig_p006_6.png] view at source ↗
Figure 5
Figure 5. Figure 5: Illustration of the RPJ-enabled cascading retraction sequence. [PITH_FULL_IMAGE:figures/full_fig_p006_5.png] view at source ↗
Figure 7
Figure 7. Figure 7: Minimum pressure required for growth initiation ( [PITH_FULL_IMAGE:figures/full_fig_p007_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: (A) Standalone RPJ node. (B) RPJ node integrated with the vine trunk. [PITH_FULL_IMAGE:figures/full_fig_p007_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Distributed contact force as a function of RPJ pressure. ( [PITH_FULL_IMAGE:figures/full_fig_p008_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Final state of tip–deflection under a 200 g load for: (A) baseline vine, (B) vine with unreinforced RPJ, and (C) vine with reinforced RPJ. Load (N) 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 Tip deflectio n (m m) -300 -250 -200 -150 -100 -50 0 Plain vine (Exp) RPJ (No reinforcement) (Exp) RPJ (Reinforced) (Exp) Plain vine (Model) RPJ (Model) RPJ reinforced (Model) [PITH_FULL_IMAGE:figures/full_fig_p008_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Load-deflection response of the vine robot for the three configurations [PITH_FULL_IMAGE:figures/full_fig_p008_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Comparison of RPJ-based (A) and layer-jamming arms (B) across identical operational stages: (1) onset of eversion ( [PITH_FULL_IMAGE:figures/full_fig_p009_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: Quantitative comparison of growth, bending response, and actuation [PITH_FULL_IMAGE:figures/full_fig_p009_13.png] view at source ↗
Figure 15
Figure 15. Figure 15: Annotated sequence of RPJ-enabled cascading retraction. (A) The robot is fully everted to a length of 1.5 m. (B) Both RPJs are pressurized to establish stiff boundaries of 15 kPa, and segment l3 is retracted up to RPJ2. (C) After depressurizing RPJ2, the proximal segment and l2 are retracted up to RPJ1. (D) Finally, RPJ1 is depressurized, completing retraction of the first two segments. retraction, preven… view at source ↗
Figure 16
Figure 16. Figure 16: Payload-bearing demonstration of the RPJ-based vine arm in free [PITH_FULL_IMAGE:figures/full_fig_p011_16.png] view at source ↗
read the original abstract

Vine-inspired robots achieve large workspace coverage through tip eversion, enabling safe navigation in confined and cluttered environments. However, their deployment in free space is fundamentally limited by low axial stiffness, poor load-bearing capacity, and the inability to retain shape during and after steering. In this work, we propose a reconfigurable pneumatic joint (RPJ) architecture that introduces discrete, pressure-tunable stiffness along the robot body without compromising continuous growth. Each RPJ module comprises symmetrically distributed pneumatic chambers that locally increase bending stiffness when pressurized, enabling decoupling between global compliance and localized rigidity. We integrate the RPJs into a soft growing robot with tendon-driven steering and develop a compact base station for mid-air eversion. System characterization and experimental validation demonstrate moderate pressure requirements for eversion, as well as comparable localized stiffening and steering performance to layer-jamming mechanisms. Demonstrations further show that the proposed robot achieves improved shape retention during bending, reduced gravitational deflection under load, cascading retraction, and reliable payload transport up to 202 g in free space. The RPJ mechanism establishes a practical pathway toward structurally adaptive vine robots for manipulation-oriented tasks such as object sorting and adaptive exploration in unconstrained environments.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The manuscript proposes a reconfigurable pneumatic joint (RPJ) module for vine-inspired soft growing robots. Each RPJ consists of symmetrically distributed pneumatic chambers that increase local bending stiffness when pressurized, intended to decouple global compliance from localized rigidity. The design is integrated with tendon-driven steering and a compact base station enabling mid-air eversion. The abstract reports moderate eversion pressures, stiffening performance comparable to layer jamming, improved shape retention during bending, reduced gravitational deflection, cascading retraction, and reliable payload transport up to 202 g in free space.

Significance. If the central claim of preserved continuous eversion holds under quantitative scrutiny, the RPJ architecture would provide a practical, pressure-tunable method for adding structural adaptability to vine robots, addressing their longstanding limitations in free-space load-bearing and shape retention for manipulation tasks.

major comments (2)
  1. [Abstract] Abstract: the assertion that RPJs enable 'localized selective stiffening ... without compromising continuous growth' is load-bearing for the central contribution, yet the text provides no quantitative baseline comparison (e.g., eversion pressure thresholds, growth speed, or axial friction) between RPJ-equipped and plain vine robots; without such data the decoupling claim cannot be evaluated.
  2. [Abstract] Abstract: claims of 'reliable payload transport up to 202 g', 'improved shape retention', and 'reduced gravitational deflection' are presented without reported sample sizes, error bars, trial counts, or statistical tests, rendering the experimental validation insufficient to support the performance assertions.
minor comments (1)
  1. [Abstract] Abstract: the phrase 'comparable localized stiffening and steering performance to layer-jamming mechanisms' is stated without specifying the quantitative metrics or experimental conditions used for the comparison.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the thoughtful and constructive comments on our manuscript. We address each major comment below and outline specific revisions to strengthen the presentation of our results.

read point-by-point responses

  1. Referee: [Abstract] Abstract: the assertion that RPJs enable 'localized selective stiffening ... without compromising continuous growth' is load-bearing for the central contribution, yet the text provides no quantitative baseline comparison (e.g., eversion pressure thresholds, growth speed, or axial friction) between RPJ-equipped and plain vine robots; without such data the decoupling claim cannot be evaluated.

    Authors: The system characterization section of the manuscript reports moderate eversion pressures and successful mid-air eversion for the RPJ-integrated robot, supporting the claim that continuous growth is preserved. To make the decoupling explicit, we will revise the abstract to include the measured eversion pressure values and add a concise comparison to typical plain-vine-robot eversion metrics drawn from our characterization data and prior literature. These changes will be incorporated in the revised manuscript. revision: yes

  2. Referee: [Abstract] Abstract: claims of 'reliable payload transport up to 202 g', 'improved shape retention', and 'reduced gravitational deflection' are presented without reported sample sizes, error bars, trial counts, or statistical tests, rendering the experimental validation insufficient to support the performance assertions.

    Authors: We agree that the abstract would be strengthened by including these details. The full manuscript describes the experimental procedures, which were conducted over multiple trials for each demonstration (payload transport, shape retention, and deflection tests). In the revision we will update the abstract to state the trial counts (e.g., five trials for the 202 g payload result) and explicitly reference the error bars and variability already shown in the results figures and tables. revision: yes

Circularity Check

0 steps flagged

No circularity: engineering design paper with prototype demonstrations and no equations, models, or fitted predictions.

full rationale

The paper presents a hardware architecture (RPJ modules integrated into a vine robot) and reports experimental demonstrations of stiffening, shape retention, and payload capacity. No derivation chain, mathematical model, parameter fitting, or predictive equations appear in the abstract or described content. Claims rest on physical prototypes and direct observations rather than any reduction to self-referential inputs, self-citations, or renamed empirical patterns. This is a standard non-circular outcome for a design-and-validation robotics paper.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 1 invented entities

The design rests on established soft-robotics principles of pneumatic actuation and tendon steering; the RPJ is the primary new element introduced without new physical postulates.

axioms (1)
  • domain assumption Pneumatic pressure in distributed chambers can selectively increase local bending stiffness in soft tubular structures without blocking eversion
    Invoked to justify the RPJ integration and decoupling of global compliance from localized rigidity.
invented entities (1)
  • Reconfigurable Pneumatic Joint (RPJ) no independent evidence
    purpose: To provide discrete, pressure-tunable localized stiffening and shape locking along the vine robot body
    New hardware module introduced by the authors; independent evidence is limited to the paper's own experiments.

pith-pipeline@v0.9.0 · 5532 in / 1280 out tokens · 25007 ms · 2026-05-10T08:34:24.199473+00:00 · methodology

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Reference graph

Works this paper leans on

35 extracted references · 35 canonical work pages

  1. [1]

    A soft robot that navigates its environment through growth,

    E. W. Hawkes, L. H. Blumenschein, J. D. Greer, and A. M. Okamura, “A soft robot that navigates its environment through growth,”Science Robotics, vol. 2, no. 8, p. eaan3028, 2017

    work page 2017

  2. [2]

    Vine robots,

    M. M. Coad, L. H. Blumenschein, S. Cutler, J. A. R. Zepeda, N. D. Naclerio, H. El-Hussieny, U. Mehmood, J.-H. Ryu, E. W. Hawkes, and A. M. Okamura, “Vine robots,”IEEE Robotics & Automation Magazine, vol. 27, no. 3, pp. 120–132, 2019

    work page 2019

  3. [3]

    Roboa: Construction and evaluation of a steerable vine robot for search and rescue applications,

    P. A. der Maur, B. Djambazi, Y . Haberth ¨ur, P. H ¨ormann, A. K ¨ubler, M. Lustenberger, S. Sigrist, O. Vigen, J. F ¨orster, F. Achermannet al., “Roboa: Construction and evaluation of a steerable vine robot for search and rescue applications,” inInt. Conf. on Soft Robotics. IEEE, 2021, pp. 15–20

    work page 2021

  4. [4]

    Eversion and retraction of a soft robot towards the exploration of coral reefs,

    J. Luong, P. Glick, A. Ong, M. S. DeVries, S. Sandin, E. W. Hawkes, and M. T. Tolley, “Eversion and retraction of a soft robot towards the exploration of coral reefs,” inInt. Conf. on Soft Robotics. IEEE, 2019, pp. 801–807

    work page 2019

  5. [5]

    A softgrowing robotic system for odor detection and classification,

    A. J. Oyejide, A. Astar, G. Kaya, U. A. Yaqub, E. A. Baran, and F. Stroppa, “A softgrowing robotic system for odor detection and classification,”Robotica, pp. 1–29, 2026

    work page 2026

  6. [6]

    Inflated bendable eversion cantilever mechanism with inner skeleton for increased stiffness,

    T. Takahashi, M. Watanabe, K. Abe, K. Tadakuma, N. Saiki, M. Konyo, and S. Tadokoro, “Inflated bendable eversion cantilever mechanism with inner skeleton for increased stiffness,”IEEE Robotics and Automation Letters, vol. 8, no. 1, pp. 168–175, 2022

    work page 2022

  7. [7]

    Miniaturized soft growing robots for minimally invasive surgeries: challenges and opportunities,

    A. J. Oyejide, F. Stroppa, and M. Sarac, “Miniaturized soft growing robots for minimally invasive surgeries: challenges and opportunities,” Progress in Biomedical Engineering, 2025

    work page 2025

  8. [8]

    Mammobot: A miniature steerable soft growing robot for early breast cancer detection,

    P. Berthet-Rayne, S. H. Sadati, G. Petrou, N. Patel, S. Giannarou, D. R. Leff, and C. Bergeles, “Mammobot: A miniature steerable soft growing robot for early breast cancer detection,”IEEE Robotics & Automation Letters, vol. 6, no. 3, pp. 5056–5063, 2021

    work page 2021

  9. [9]

    Design, modeling, control, and application of everting vine robots,

    L. H. Blumenschein, M. M. Coad, D. A. Haggerty, A. M. Okamura, and E. W. Hawkes, “Design, modeling, control, and application of everting vine robots,”Frontiers in Robotics and AI, vol. 7, p. 548266, 2020

    work page 2020

  10. [10]

    Geometric solutions for general actuator routing on inflated-beam soft growing robots,

    L. H. Blumenschein, M. Koehler, N. S. Usevitch, E. W. Hawkes, D. C. Rucker, and A. M. Okamura, “Geometric solutions for general actuator routing on inflated-beam soft growing robots,”IEEE Transactions on Robotics, vol. 38, no. 3, pp. 1820–1840, 2021

    work page 2021

  11. [11]

    Passive shape locking for multi-bend growing inflated beam robots,

    R. Jitosho, S. Sim ´on-Trench, A. M. Okamura, and B. H. Do, “Passive shape locking for multi-bend growing inflated beam robots,” in2023 IEEE International Conference on Soft Robotics (RoboSoft). IEEE, 2023, pp. 1–6

    work page 2023

  12. [12]

    Dynamically reconfig- urable discrete distributed stiffness for inflated beam robots,

    B. H. Do, V . Banashek, and A. M. Okamura, “Dynamically reconfig- urable discrete distributed stiffness for inflated beam robots,” inInt. Conf. on Robotics & Automation. IEEE, 2020, pp. 9050–9056

    work page 2020

  13. [13]

    Stiffness change for reconfiguration of inflated beam robots,

    B. Do, S. Wu, R. Zhao, and A. Okamura, “Stiffness change for reconfiguration of inflated beam robots,”Soft Robotics, vol. 11, pp. 779– 790, 04 2024

    work page 2024

  14. [14]

    En- hanced deformation resistance and load-bearing capacity in tip-growing robots through scale-inspired layer jamming mechanism,

    P. Li, Y . Zhang, J. Quan, G. Zhang, D. Zhou, and L. Li, “En- hanced deformation resistance and load-bearing capacity in tip-growing robots through scale-inspired layer jamming mechanism,”Soft Robotics, vol. 12, no. 6, pp. 732–741, 2025

    work page 2025

  15. [15]

    An enhanced soft growing robot with mixed-layer jamming for superior load capacity and improved mobility,

    Z. Li, K. Sun, X. Li, Y . Zou, and H. Liu, “An enhanced soft growing robot with mixed-layer jamming for superior load capacity and improved mobility,”IEEE Robotics and Automation Letters, vol. 10, no. 9, pp. 8986–8993, 2025

    work page 2025

  16. [16]

    Task-specific design optimization and fabrication for inflated-beam soft robots with growable discrete joints,

    I. Exarchos, K. Wang, B. H. Do, F. Stroppa, M. M. Coad, A. M. Oka- mura, and C. K. Liu, “Task-specific design optimization and fabrication for inflated-beam soft robots with growable discrete joints,” inInt. Conf. on Robotics & Automation. IEEE, 2022, pp. 7145–7151

    work page 2022

  17. [17]

    A bioinspired soft robot combining the growth adaptability of vine plants with a coordinated control system,

    P. Li, Y . Zhang, G. Zhang, D. Zhou, and L. Li, “A bioinspired soft robot combining the growth adaptability of vine plants with a coordinated control system,”Research, 2021

    work page 2021

  18. [18]

    Deployable robotic structures via passive rigidity on a soft, growing robot,

    F. Fuentes and L. H. Blumenschein, “Deployable robotic structures via passive rigidity on a soft, growing robot,” in2023 IEEE International Conference on Soft Robotics (RoboSoft). IEEE, 2023, pp. 1–7

    work page 2023

  19. [19]

    A comparison of pneumatic actuators for soft growing vine robots,

    A. M. K ¨ubler, C. Du Pasquier, A. Low, B. Djambazi, N. Aymon, J. F¨orster, N. Agharese, R. Siegwart, and A. M. Okamura, “A comparison of pneumatic actuators for soft growing vine robots,”Soft Robotics, vol. 11, no. 5, pp. 857–868, 2024

    work page 2024

  20. [20]

    A multi-segment, soft growing robot with selective steering,

    A. M. K ¨ubler, S. U. Rivera, F. B. Raphael, J. F ¨orster, R. Siegwart, and A. M. Okamura, “A multi-segment, soft growing robot with selective steering,” inInt. Conf. on Soft Robotics. IEEE, 2023, pp. 1–7

    work page 2023

  21. [21]

    Active stiffening for vine robots via axially stacked pneumatic pouches,

    Y . Feteih, S. Kim, and T. K. Morimoto, “Active stiffening for vine robots via axially stacked pneumatic pouches,” in2025 IEEE 8th International Conference on Soft Robotics (RoboSoft). IEEE, 2025, pp. 1–7

    work page 2025

  22. [22]

    Finite element modeling of pneumatic bending actuators for inflated-beam robots,

    C. du Pasquier, S. Jeong, and A. M. Okamura, “Finite element modeling of pneumatic bending actuators for inflated-beam robots,”IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7416–7423, 2023

    work page 2023

  23. [23]

    Phase-change alloys enable localized reversible stiffening and actuation in steerable eversion tip-growing robots,

    S. Al Harthy, S. H. Sadati, S. C. Stockdale, R. Neji, and C. Bergeles, “Phase-change alloys enable localized reversible stiffening and actuation in steerable eversion tip-growing robots,”Advanced Intelligent Systems, p. e202500756, 2025

    work page 2025

  24. [24]

    Towards soft steerable vine robots using actuating polymers,

    S. Krishna, J. Martinez, N. O’Shea, C. Melentyev, S. Kim, G. Dong, S. Cai, and T. K. Morimoto, “Towards soft steerable vine robots using actuating polymers,” in2025 IEEE 8th International Conference on Soft Robotics (RoboSoft). IEEE, 2025, pp. 1–7

    work page 2025

  25. [25]

    Variable stiffness soft eversion growing robot via temperature control of low-melting point alloy pressurised medium,

    S. Al Harthy, S. H. Sadati, Z. Wu, C. A. Seneci, and C. Bergeles, “Variable stiffness soft eversion growing robot via temperature control of low-melting point alloy pressurised medium,” in2024 International Symposium on Medical Robotics (ISMR). IEEE, 2024, pp. 1–7

    work page 2024

  26. [26]

    Hybrid vine robot with internal steering-reeling mechanism enhances system-level capabilities,

    D. A. Haggerty, N. D. Naclerio, and E. W. Hawkes, “Hybrid vine robot with internal steering-reeling mechanism enhances system-level capabilities,”IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5437–5444, 2021

    work page 2021

  27. [27]

    Permanent magnet-based localization for growing robots in medical applications,

    C. Watson and T. K. Morimoto, “Permanent magnet-based localization for growing robots in medical applications,”IEEE Robotics and Au- tomation Letters, vol. 5, no. 2, pp. 2666–2673, 2020

    work page 2020

  28. [28]

    Grapevine structure and function,

    E. W. Hellman, “Grapevine structure and function,”Oregon viticulture, pp. 5–19, 2003

    work page 2003

  29. [29]

    Under-vine vegetation mitigates the impacts of excessive precipitation in vineyards,

    J. Vanden Heuvel and M. Centinari, “Under-vine vegetation mitigates the impacts of excessive precipitation in vineyards,”Frontiers in Plant Science, vol. 12, p. 713135, 2021

    work page 2021

  30. [30]

    Behavioral and economic traits reflect distinct resource acquisition strategies in tendril vines and stem twining vines,

    H. Bai, Y . Ji, X. Wang, Z. Liu, Z. Zhou, M. Yue, and Y . Guo, “Behavioral and economic traits reflect distinct resource acquisition strategies in tendril vines and stem twining vines,”Ecology and Evolution, vol. 14, no. 9, p. e70271, 2024

    work page 2024

  31. [31]

    The node, a hub for mineral nutrient distribution in graminaceous plants,

    N. Yamaji and J. F. Ma, “The node, a hub for mineral nutrient distribution in graminaceous plants,”Trends in Plant Science, vol. 19, no. 9, pp. 556–563, 2014

    work page 2014

  32. [32]

    Pouch motors: Printable soft actuators integrated with computational design,

    R. Niiyama, X. Sun, C. Sung, B. An, D. Rus, and S. Kim, “Pouch motors: Printable soft actuators integrated with computational design,” Soft Robotics, vol. 2, no. 2, pp. 59–70, 2015

    work page 2015

  33. [33]

    Retraction of soft growing robots without buckling,

    M. M. Coad, R. P. Thomasson, L. H. Blumenschein, N. S. Usevitch, E. W. Hawkes, and A. M. Okamura, “Retraction of soft growing robots without buckling,”IEEE Robotics & Automation Letters, vol. 5, no. 2, pp. 2115–2122, 2020

    work page 2020

  34. [34]

    Self-retractable soft growing robots for reliable and fast retraction while preserving their inherent advantages,

    N. G. Kim, D. Seo, S. Park, and J.-H. Ryu, “Self-retractable soft growing robots for reliable and fast retraction while preserving their inherent advantages,”IEEE Robotics and Automation Letters, vol. 9, no. 2, pp. 1082–1089, 2023

    work page 2023

  35. [35]

    A tip mount for transporting sensors and tools using soft growing robots,

    S.-G. Jeong, M. M. Coad, L. H. Blumenschein, M. Luo, U. Mehmood, J. H. Kim, A. M. Okamura, and J.-H. Ryu, “A tip mount for transporting sensors and tools using soft growing robots,” in2020 IEEE/RSJ Inter- national Conference on Intelligent Robots and Systems (IROS). IEEE, 2020, pp. 8781–8788

    work page 2020