Soft Pneumatic Actuators for Soft Robotics: A Motion-Based Review of Actuation Mechanisms and Performance Trade-offs
- URL: http://arxiv.org/abs/2605.25109v1
- Date: Sun, 24 May 2026 14:49:31 GMT
- Title: Soft Pneumatic Actuators for Soft Robotics: A Motion-Based Review of Actuation Mechanisms and Performance Trade-offs
- Abstract summary: This review examines soft pneumatic actuators according to the design strategies used to generate four motion classes.<n>It discusses how the design choice affects motion output, force generation, air demand, repeatability, durability, fabrication difficulty, and robotic integration.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Soft pneumatic actuators are widely used in soft robotics because they can produce large motions while remaining compliant enough to interact safely with objects, environments, and the human body. However, their performance is not solely determined by pressure. Instead, the response depends on the way the actuator is built, including the shape of its chambers, the placement of reinforcements, the use of folds, material stiffness, and the constraints that guide its deformation. As the literature has expanded, it has become more difficult to determine which mechanism is most suitable for a given application and which reported results can be compared across studies. This review examines soft pneumatic actuators according to the design strategies used to generate four motion classes: linear, bending, twisting, and omnidirectional actuation. For each class, it analyzes the structural features that define the deformation path, including braid angle, fold geometry, fiber orientation, chamber arrangement, structural asymmetry, and internal constraint layers. It then discusses how the design choice affect motion output, force generation, air demand, repeatability, durability, fabrication difficulty, and robotic integration. The review further identifies key conditions that must be considered when selecting or comparing actuators, including pressure, loading condition, actuator size, pneumatic supply, and hysteresis This approach helps explain why actuators with similar motion outputs may differ substantially in design requirements, pneumatic demand, and practical suitability. It also highlights the design priorities needed for compact, efficient, repeatable, and deployable soft pneumatic systems in wearable, biomedical, and mobile robotic applications.
Related papers
- Robust Silicone Pour Casting and Sensor Embedding Procedures for Soft Robotic Actuators [0.0]
Soft robots are well-suited for applications such as rehabilitation and surgery that require adaptable and safe interaction with their environment.<n>This paper presents procedures for robust, repeatable, and scalable fabrication of soft pneumatic actuators using two-part pour casting.<n>The presented methods prevent internal cavity clogging and ensure air-tight sealing.
arXiv Detail & Related papers (2026-07-16T19:53:33Z) - Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations [60.42735420750131]
Soft-bodied organisms such as octopuses and elephant trunks exhibit remarkable morphological adaptability.<n>Various soft robots have emerged in recent decades, featuring diverse materials, stiffnesses, and morphologies tailored to specific tasks.<n>Here, we introduce a generalizable control system that enables rapid adaptation across diverse soft robot configurations.
arXiv Detail & Related papers (2026-06-06T11:09:46Z) - Simulation-Driven Evolutionary Motion Parameterization for Contact-Rich Granular Scooping with a Soft Conical Robotic Hand [14.911239660367926]
Tool-based scooping is vital in robot-assisted tasks, enabling interaction with objects of varying sizes, shapes, and material states.<n>Recent studies have shown that flexible, reconfigurable soft robotic end-effectors can adapt their shape to maintain consistent contact during scooping.<n>These soft tools can adjust to varying container sizes and materials without requiring complex sensing or control.<n>This paper presents the development of a physics-based simulation model of a deformable soft conical robotic hand.
arXiv Detail & Related papers (2026-04-07T07:30:21Z) - ZipFold: Modular Actuators for Scaleable Adaptive Robots [52.52738470247707]
This paper introduces a compact, easy-to-fabricate deployable actuator that achieves reversible scale and stiffness transformations.<n>The simple actuation method allows for smooth, continuous transitions between compact (flexible) and expanded (quasi-rigid) states.
arXiv Detail & Related papers (2026-04-06T23:50:03Z) - Elastomeric Strain Limitation for Design of Soft Pneumatic Actuators [0.0]
This thesis presents strategies for the design, modeling, and strain-based control of human-safe elastomeric soft pneumatic actuators.<n>We investigate electroadhesive (EA) strain limiters for variable shape generation, rapid force application, and targeted inflation trajectories.<n>We validate theoretical models based on material properties and energy minimization using active learning and automated testing.
arXiv Detail & Related papers (2026-04-03T00:56:14Z) - From Perception to Action: An Interactive Benchmark for Vision Reasoning [51.11355591375073]
Causal Hierarchy of Actions and Interactions (CHAIN) benchmark designed to evaluate whether models can understand, plan, and execute structured action sequences grounded in physical constraints.<n> CHAIN shifts evaluation from passive perception to active problem solving, spanning tasks such as interlocking mechanical puzzles and 3D stacking and packing.<n>Our results show that top-performing models still struggle to internalize physical structure and causal constraints, often failing to produce reliable long-horizon plans and cannot robustly translate perceived structure into effective actions.
arXiv Detail & Related papers (2026-02-24T15:33:02Z) - Muscle Coactivation in the Sky: Geometry and Pareto Optimality of Energy vs. Promptness in Multirotors [3.919116384604024]
We show that the limited torque of the motors and the nonlinear aerodynamic map from rotor speed to thrust naturally give rise to the novel concept of promptness.<n>By treating energy consumption as a competing objective, we turn redundancy resolution into a principled multi-objective program on affine fibers.
arXiv Detail & Related papers (2026-02-15T16:35:46Z) - Preliminary Analysis and Simulation of a Compact Variable Stiffness Wrist [9.674808390941672]
This paper introduces a novel 3 Degrees of Freedom (DoFs) parallel wrist that achieves variable stiffness through redundant elastic actuation.<n>The device employs only four motors, rendering it compact and lightweight.
arXiv Detail & Related papers (2025-12-04T16:43:57Z) - Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms [71.85633762642125]
The vast number of parameters in models often results in highly intertwined internal representations.<n>Recent research has explored the use of sparse autoencoders (SAE) to disentangle knowledge in high-dimensional spaces for steering.<n>We propose Steering Target Atoms (STA), a novel method that isolates and manipulates disentangled knowledge components to enhance safety.
arXiv Detail & Related papers (2025-05-23T17:59:18Z) - 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) - Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators [10.184372801256835]
Soft pneumatic actuators (SPA) made from elastomeric materials can provide large strain and large force.<n>We model force-pressure-height relationships for a concentrically strain-limited class of soft pneumatic actuators.<n>We show that this learned material model outperforms the theory-based model and naive curve-fitting approaches.
arXiv Detail & Related papers (2025-04-01T19:43:00Z) - Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation [88.83749146867665]
Existing approaches learn a policy to predict a distant next-best end-effector pose.<n>They then compute the corresponding joint rotation angles for motion using inverse kinematics.<n>We propose Kinematics enhanced Spatial-TemporAl gRaph diffuser.
arXiv Detail & Related papers (2025-03-13T17:48:35Z) - OSCAR: Data-Driven Operational Space Control for Adaptive and Robust
Robot Manipulation [50.59541802645156]
Operational Space Control (OSC) has been used as an effective task-space controller for manipulation.
We propose OSC for Adaptation and Robustness (OSCAR), a data-driven variant of OSC that compensates for modeling errors.
We evaluate our method on a variety of simulated manipulation problems, and find substantial improvements over an array of controller baselines.
arXiv Detail & Related papers (2021-10-02T01:21:38Z)
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.