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3D printing is helping soft robots become practical research platforms by forming flexible bodies, intricate internal channels, and—in some processes—multimaterial structures in a single fabrication workflow. The printed shape is only the mechanical foundation, however. A useful robot also needs a material that deforms predictably, an actuator that supplies motion, and a control method suited to its environment.
Two recent reviews describe the field rather than identify one winning printer or material: a 2024 review in Chem & Bio Engineering and a 2025 review in Advanced Intelligent Systems. Their evidence supports a design-by-task approach. Printing process, material, actuation stimulus, integrated features, and intended use must be chosen together.
What makes a robot “soft”?
A soft robot uses compliant bodies or components that can bend, stretch, compress, twist, or otherwise deform during operation. That behavior differs from a conventional machine built mainly from rigid links and joints, where motion is concentrated at predefined axes. Compliance can let a robot conform to irregular surfaces, absorb contact, or interact with delicate objects, but it also makes the mechanics harder to predict and control.
Softness is not a single material label. A device may combine an elastomeric body with stiffer sections, embedded channels, magnetic particles, conductive traces, or other functional elements. The relevant question is whether the structure produces the deformation and force required by its task, not whether every part is equally flexible.
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The authors of the 2024 review, Recent Progress in 3D Printing of Polymer Materials as Soft Actuators and Robots, write that “With inspiration from natural systems, various soft actuators and robots have been explored in recent years with versatile applications in biomedical and engineering fields.” The sentence captures the field’s status: active exploration across many designs, rather than a mature product category with a universal architecture.
Why 3D printing changes soft-robot fabrication
Traditional fabrication can require molds, bonding, machining, manual assembly, or repeated alignment of separate layers. Additive manufacturing builds a part from digital geometry, which makes unusual cavities, curved walls, lattice-like regions, and integrated channels easier to prototype. A designer can change the geometry in software and produce another iteration without making a new mold.
Some printing approaches also make it possible to place different materials or functional features in planned locations. That matters because soft robots often need a deliberately uneven stiffness profile: one region may act as a flexible hinge, another as a load-bearing frame, and another as an expandable chamber. Multimaterial capability can reduce assembly, but it introduces compatibility and process-control problems. Materials must adhere where intended, remain chemically and mechanically compatible, and survive the same fabrication and operating conditions.
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Printing does not automatically solve sealing, durability, sensing, power, or control. It shifts more of the design work into the digital model and process setup. The result can be a faster route to a custom prototype, provided the chosen process can reproduce the required features and the material behaves as expected after printing.
Five printing processes used in soft-robotics research
The 2025 review surveys fused filament fabrication (FFF), direct ink writing (DIW), vat photopolymerization, material jetting, and selective laser sintering (SLS). These are different manufacturing families, not interchangeable printer modes. They vary in the materials they accept, the geometries they can form, their ability to combine materials, and the properties of the finished part.
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| Process | How to think about it in a soft-robot design | Decision question |
|---|---|---|
| Fused filament fabrication (FFF) | Builds a part from deposited filament; flexible-filament prototypes are one possible route. | Can the printer feed the selected flexible material reliably, and will the layer structure provide the needed compliance and sealing? |
| Direct ink writing (DIW) | Deposits printable inks or pastes whose flow and curing behavior determine the final shape. | Can the ink pass through the deposition system and then retain the designed geometry and properties? |
| Vat photopolymerization | Uses light to solidify liquid photopolymer in successive regions. | Does the available photopolymer provide the required elasticity, toughness, and compatibility with the actuation environment? |
| Material jetting | Places droplets of printable materials, allowing fine spatial control where the equipment supports it. | Can the system combine the needed materials and preserve their properties through curing and use? |
| Selective laser sintering (SLS) | Fuses powder selectively to create three-dimensional polymer parts. | Does the powder process deliver the feature resolution, surface behavior, and flexibility required by the mechanism? |
The table is a selection framework, not a ranking. The reviews survey progress and representative applications; they do not provide a controlled test proving that one process is best for every soft robot. Process capability has to be checked against the exact geometry, material, and actuator plan.
Materials: compliance, strength, and compatibility
A soft robot must deform without failing, return toward its intended shape, and transmit enough force to perform its task. Designers therefore balance elasticity, stiffness, toughness, fatigue resistance, friction, chemical stability, and the ability to bond or coexist with other materials. A very soft material may conform well but produce little useful force or lose its shape under load. A stiffer material may deliver force but behave more like a rigid mechanism.
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Printing adds process-specific constraints. A material must be printable through the chosen method, hold its geometry during or after deposition, and reach a stable state through cooling, curing, or sintering. Layer interfaces, trapped voids, surface finish, and dimensional accuracy can all affect leakage and motion. If a design contains an internal pneumatic chamber, for example, the material and process must produce walls that remain sealed under repeated pressure cycles.
For an FFF-based flexible prototype, TPU 3D-printer filament is a plausible material category to investigate. The reviews do not identify a universal TPU grade, printer model, hardness, or setting, and they do not establish that TPU suits every geometry. Verify the filament’s specifications, the printer’s feed system, nozzle and temperature limits, layer adhesion, and the design’s mechanical demands before treating it as a workable choice.
How printed soft robots generate motion
Printing supplies a body; actuation supplies movement. The reviews describe stimulus-responsive soft actuators that react to several kinds of input:
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| Stimulus | What it means for design | Typical design question |
|---|---|---|
| Temperature | A thermal change produces expansion, contraction, phase change, or another programmed deformation. | How will the device heat or cool, and how will response time and heat exposure fit the task? |
| Magnetic fields | Magnetic material or embedded elements respond to an external field. | Where will the field come from, and can it provide repeatable motion at the operating distance? |
| Light | A phot responsive material or structure changes under illumination. | Can light reach the active regions, and how will wavelength, intensity, and shielding affect operation? |
| Acoustic signals | Sound or other acoustic input drives a responsive structure. | What transducer and frequency range are required, and how will the environment affect the signal? |
| Humidity | Moisture uptake or loss causes a material to swell, shrink, or bend. | Is the ambient humidity stable enough for predictable motion, or must it be actively controlled? |
| Chemicals | Exposure to a chemical stimulus changes the material or a responsive component. | Can the stimulus be delivered safely and repeatedly without degrading the robot or surroundings? |
There are also designs in which the printed body contains channels for an external pressure source or other hardware. In such a pneumatic design, pumps, tubing, valves, and fittings become part of the system even though they are not the printed actuator itself. The right stimulus depends on the task, available energy, control precision, response speed, and operating environment.
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Use the following sequence to prevent the printer from dictating the design before the robot’s job is clear.
- Define the task and environment. Specify what must move, grip, crawl, swim, deliver, or conform; the loads and contact conditions; exposure to water, heat, chemicals, or light; and whether the device must operate autonomously or under external equipment.
- Choose the deformation mode. Decide whether the useful motion is bending, twisting, axial extension, radial expansion, squeezing, or a combination. Mark regions that should remain flexible and regions that must resist load.
- Select an actuation stimulus. Match temperature, magnetic field, light, acoustic input, humidity, chemical exposure, or a pressure-driven architecture to the environment and control hardware. A stimulus that is convenient in a laboratory may be impractical in the field.
- Choose a compatible material and printing process. Check that the process can produce the smallest channels, walls, hinges, and interfaces in the design. Confirm that the material’s elasticity, strength, curing or cooling behavior, and chemical compatibility fit the actuator.
- Plan multimaterial regions and interfaces. Identify where stiffness changes, magnetic or conductive elements, seals, or other functional features are needed. Decide whether they can be printed together or must be inserted or assembled afterward.
- Design for inspection and maintenance. Include access for checking channels, replacing external tubing, or examining layer interfaces. A geometry that cannot be inspected is difficult to debug when motion is inconsistent.
- Prototype the simplest active section first. Print a test coupon or one actuator segment before committing to the complete robot. Measure whether it bends or expands in the intended direction and whether it retains its shape after repeated cycles.
- Add sensing and control only after the mechanical response is understood. Establish the input-to-motion relationship, then determine how sensors, drivers, feedback, and safety limits should be integrated.
Where researchers are applying the technology
The reviews describe biomedical and engineering applications as active areas of exploration. Drug delivery is one cited context: a soft printed device could, in principle, navigate or deform in ways useful for transporting a payload. That possibility should not be read as clinical approval, human-use evidence, or broad commercial deployment. A research prototype still has to satisfy biocompatibility, sterilization, reliability, dosing, control, and regulatory requirements.
Engineering uses can likewise range from compliant grippers and adaptive mechanisms to devices designed for constrained or irregular environments. The appropriate evaluation depends on the task. A laboratory demonstration of stimulus-responsive bending does not establish endurance under industrial cycles, operation outside controlled conditions, or suitability for a safety-critical machine.
How to choose among approaches
Compare candidate designs across the same five axes rather than asking which printer is “best.”
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- Process: Can the method form the required geometry, channels, walls, and interfaces with repeatable dimensions?
- Material: Does the printable material provide the needed compliance, force, durability, sealing, and environmental resistance?
- Integration: Are multiple materials, embedded features, or post-print assembly necessary, and can their interfaces remain reliable?
- Actuation and energy: What stimulus moves the robot, what equipment delivers it, and how precisely can the motion be controlled?
- Task and environment: Will the robot encounter loads, fluids, temperatures, fields, light levels, or chemicals that change its response?
This framework also explains why a consumer-printer recommendation cannot be inferred from a general review of soft robotics. A flexible filament printer may be sensible for one FFF prototype and unsuitable for another design requiring multimaterial curing, fine internal channels, or a particular actuator chemistry.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Common failure modes and practical fixes
The body prints, but it does not move as designed
Check whether the actuation stimulus reaches the active material uniformly and whether the printed layers introduced directional stiffness. Revisit the deformation mode, active-region geometry, and stimulus delivery before adding more control complexity.
The actuator moves once and then weakens
Look for material fatigue, overheating, chemical damage, delamination, or a pressure level beyond the structure’s safe range. Run repeated-cycle tests on a small actuator section and inspect interfaces and seals after each test interval.
A multimaterial part separates at the interface
Verify material compatibility, surface preparation, curing or cooling schedules, and the interface geometry. If the printing process cannot create a dependable bond, redesign for mechanical interlocking or plan a controlled post-print assembly step.
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Inspect thin walls, layer seams, fittings, and transitions between printed and nonprinted components. Increase the test pressure gradually, isolate each chamber, and validate the material and process on a sealed test coupon before building a network of channels.
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The prototype works only in the laboratory
Identify which environmental variable is providing hidden assistance—humidity, temperature, field strength, illumination, or external plumbing. Then specify that variable as part of the operating system or select an actuation method less dependent on uncontrolled conditions.
What the current evidence can—and cannot—support
The 2025 review reports that its authors retrieved and analyzed 3,556 Web of Science articles published from 2011 through 2024 using terms related to 3D and 4D printing, additive manufacturing, soft robotics, and soft devices. That number describes the review’s literature corpus. It is not a count of working robots, products, clinical systems, or deployed machines.
Both reviews are syntheses of published progress and representative applications, not head-to-head laboratory comparisons of every process. They support the conclusion that 3D printing broadens the design space for compliant structures and functional integration. They do not establish a single best fabrication method, universal consumer-printer compatibility, clinical readiness, or a commercially available product for a particular task.
Bottom line for builders and engineers
3D printing lets soft-robot designers turn complex, compliant geometries into rapidly adjustable prototypes and, in suitable processes, combine materials or functional features. The winning combination is task-specific: select the deformation, stimulus, material, printing method, and control hardware as one system. Start with a small, testable actuator, document the environmental conditions, and treat every performance claim as specific to its design and fabrication process.
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