Three-dimensional hydro-cluttered locomotion by an undulatory robot
- URL: http://arxiv.org/abs/2606.06829v1
- Date: Fri, 05 Jun 2026 02:07:32 GMT
- Title: Three-dimensional hydro-cluttered locomotion by an undulatory robot
- Abstract summary: In "hydro-cluttered" environments, water is interspersed with rigid and flexible clutter, making body-obstacle contact unavoidable.<n>We develop principles for 3D aquatic locomotion using AquaMILR, an elongate limbless robot that combines bilateral cable-driven actuation, programmable body compliance, distributed depth regulation, corrosion-resistant enclosures, and onboard power and electronics for untethered field operation.
- Score: 4.57174337075644
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Aquatic robots have expanded human access to underwater environments, yet many underwater spaces contain obstacles that can disrupt open-water locomotion. In "hydro-cluttered" environments, water is interspersed with rigid and flexible clutter, making body-obstacle contact unavoidable. Operating in these spaces requires robots that can regulate and exploit contact, but this regime remains difficult to model or simulate. Building on recent advances in mechanical intelligence in terradynamically capable limbless robotics, we develop principles for 3D aquatic locomotion using AquaMILR, an elongate limbless robot that combines bilateral cable-driven actuation, programmable body compliance, distributed depth regulation, corrosion-resistant enclosures, and onboard power and electronics for untethered field operation. Systematic robophysical experiments reveal that programmable body compliance regulates body deformation and converts body-environment interactions into fast, robust, forward progression across increasing hydro-clutter constraint strength. Depth regulation provides three-dimensional access, allowing the robot to bypass clutter, recover from obstruction, and continue through otherwise inaccessible routes. In potential jamming scenarios, emergent inertia-induced rolling acts as a spontaneous recovery mechanism, freeing the robot from clutter that would otherwise lead to failure and allowing locomotion to continue without additional control. Tests of the robot in an aquatic mangrove field demonstrate that these principles transfer to practical operation, enabling navigation and onboard visual inspection of inaccessible root zones. These results establish principles for hydro-cluttered locomotion and a design paradigm in which aquatic robots exploit environmental complexity as a locomotor resource.
Related papers
- Design and Attitude Control of an Underwater Quadruped Robot [12.2300314007703]
Legged robots are versatile on land, but their use in underwater environments remains limited.<n>This paper presents the design, modeling, and experimental validation of a reproducible underwater quadruped robot.
arXiv Detail & Related papers (2026-09-06T17:19:31Z) - Cuttlebot: a platform demonstration for complex, autonomous, bio-inspired swimmers [62.91681227094761]
This work presents an autonomous robotic platform: the CORE, capable of driving six artificial muscles while sensing visual and spatial information.<n>To validate the platform, we developed the Cuttlebot - a cuttlefish-inspired robot that swims in three dimensions using undulatory fin locomotion.<n>The CORE system was capable of driving specialized control signals into the artificial muscles to controllably output force and torque in six axes.
arXiv Detail & Related papers (2026-05-29T16:48:52Z) - A Bioinspired Underwater Robot with a Latch-Mediated Soft Bistable Mechanism [5.9498629991010175]
We introduce a bioinspired, soft bistable actuator with an integrated latch mechanism that enables asymmetric energy input and release using a single motor.<n> Experimental results demonstrate stable periodic flapping, precise steering, and a maximum thrust of 0.528 N, impulse of 0.147 Ns, and vertical displacement of 30 mm.<n>This study presents a novel, energy-efficient approach for controlling motion in compact underwater robots, paving the way for advanced biomimetic designs.
arXiv Detail & Related papers (2026-05-26T12:29:05Z) - Design, Modeling and Direction Control of a Wire-Driven Robotic Fish Based on a 2-DoF Crank-Slider Mechanism [7.409300331963032]
We develop a wire-driven robotic fish equipped with a crank-slider mechanism that decouples propulsion from steering.<n>We propose a combined feedforward-feedback control strategy to achieve independent regulation of propulsion and steering.
arXiv Detail & Related papers (2026-03-03T10:55:45Z) - Autonomous Sea Turtle Robot for Marine Fieldwork [45.22208456166796]
We present a sea turtle-inspired autonomous underwater robot that closed the gap between bioinspired locomotion and field-ready autonomy.<n>The robot combines robust depth-heading stabilization with obstacle avoidance and target-centric control, enabling it to track and interact with moving objects in complex terrain.
arXiv Detail & Related papers (2026-02-24T21:36:19Z) - Biomimetic Mantaray robot toward the underwater autonomous -- Experimental verification of swimming and diving by flapping motion - [0.0]
Inspired by manta rays, the robot uses flapping motion for propulsion to minimize seabed disturbance.<n>The robot features pectoral fins driven by servo motors and a streamlined control box to reduce fluid resistance.
arXiv Detail & Related papers (2026-02-11T14:29:08Z) - AI-Enhanced Automatic Design of Efficient Underwater Gliders [60.45821679800442]
Building an automated design framework is challenging due to the complexities of representing glider shapes and the high computational costs associated with modeling complex solid-fluid interactions.<n>We introduce an AI-enhanced automated computational framework designed to overcome these limitations by enabling the creation of underwater robots with non-trivial hull shapes.<n>Our approach involves an algorithm that co-optimizes both shape and control signals, utilizing a reduced-order geometry representation and a differentiable neural-network-based fluid surrogate model.
arXiv Detail & Related papers (2025-04-30T23:55:44Z) - Coordinating Spinal and Limb Dynamics for Enhanced Sprawling Robot Mobility [0.047116288835793156]
A flexible spine enables undulation of the body through a wavelike motion along the spine, aiding navigation over uneven terrains and obstacles.<n>Environmental uncertainties, such as surface irregularities and variations in friction, can significantly disrupt body-limb coordination.<n>Deep reinforcement learning offers a promising framework for handling non-deterministic environments.<n>We comparatively examine learning-based control strategies and biologically inspired gait design methods on a salamander-like robot.
arXiv Detail & Related papers (2025-04-18T23:08:48Z) - 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 Quadrupedal Locomotion over Challenging Terrain [68.51539602703662]
Legged locomotion can dramatically expand the operational domains of robotics.
Conventional controllers for legged locomotion are based on elaborate state machines that explicitly trigger the execution of motion primitives and reflexes.
Here we present a radically robust controller for legged locomotion in challenging natural environments.
arXiv Detail & Related papers (2020-10-21T19:11:20Z) - Populations of Spiking Neurons for Reservoir Computing: Closed Loop
Control of a Compliant Quadruped [64.64924554743982]
We present a framework for implementing central pattern generators with spiking neural networks to obtain closed loop robot control.
We demonstrate the learning of predefined gait patterns, speed control and gait transition on a simulated model of a compliant quadrupedal robot.
arXiv Detail & Related papers (2020-04-09T14:32:49Z)
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.