If you picture a robot, you probably see hard metal, joints, and maybe a pair of slightly unsettling plastic eyes. But the future of robots may look more like a squid tentacle or a stretchy toy than a steel arm.

In labs around the world, engineers are building soft robots that bend, squish, and flow through the environment instead of forcing the world to fit around them. These machines use flexible materials, artificial muscles, and clever control systems to move more like living organisms – and in many cases, that makes them safer, more adaptable, and better suited for real-world messiness than traditional robots.

You are also seeing a convergence: AI models like ChatGPT, Claude, and Gemini are getting good at high-level reasoning and planning, while soft robots provide bodies that can safely interact with fragile objects, people, and complex environments. Put them together and you get something powerful: physically intelligent systems that feel far less “robotic” than what came before.

What exactly is a soft robot?

Soft robotics is a branch of robotics that replaces rigid metal parts with compliant materials like silicone, rubber, hydrogels, textiles, and flexible plastics. These machines deform as they move, more like an octopus arm or a human tongue than a metal crane.

Instead of rotary motors and rigid joints, soft robots often rely on:

  • Soft pneumatic actuators – hollow silicone chambers that bend or expand when pressurized with air or fluid.
  • Shape-changing materials – polymers that contract with heat, light, or electric fields.
  • Biohybrid actuators – actual living muscle tissue grown on flexible skeletons.

A recent review of soft pneumatic actuators, for example, highlights how air-driven elastomer structures can produce large, smooth motions while staying compliant and safe around humans and delicate objects[Soft Pneumatic Actuators review, 2026]. That blend of power and gentleness is a big part of the appeal.

If traditional robots are like exoskeletons made of rigid armor, soft robots are more like bodies made of muscle and skin.

Why copy squids, worms, and muscles?

A core idea in soft robotics is bio-inspired design: copying how animals use soft tissues to move through cluttered, unpredictable environments. The Wikipedia overview on soft robotics notes that most animals are largely soft, and they exploit that softness for efficient movement and manipulation in complex environments[Soft robotics overview].

Researchers are especially obsessed with the octopus, because it:

  • Has no internal skeleton in its arms.
  • Can squeeze through tiny gaps.
  • Can use the same limb for swimming, walking, and grasping.

Recent work on octopus-inspired robots shows how powerful this idea is. For instance:

  • A 2025 study in npj Robotics describes an octopus-inspired soft arm that uses a bending wave along its length to grasp underwater objects with simplified control, rather than micromanaging every joint[Underwater soft arm grasping, 2025].
  • A 2024–2026 wave of papers and projects explores octopus-style crawling and swimming, including robots with multiple flexible limbs that can both walk along the seabed and propel themselves through water[Octopus-inspired underwater robot, 2025].

The big lesson: if you want robots that can handle rocks, cables, plants, and other chaotic stuff, copying a creature that already does that in the ocean is a strong starting point.

How do soft robots actually move?

If you peel back the cute tentacle or squishy body, soft robots still obey physics – just with different hardware than you might be used to. Most soft motion today is built around a few recurring ideas.

1. Inflating and bending: pneumatics and fluids

One of the workhorses of soft robotics is the soft pneumatic actuator (SPA). Think of it as a carefully sculpted balloon: when you pump air or fluid into it, it stretches more in some directions than others, causing it to curl, twist, or elongate.

Designers can stack or segment these chambers to create:

  • Tentacle-like arms that can wrap around objects.
  • Crawling robots that inch forward like worms.
  • Grippers that gently pinch or envelop items of different shapes.

The recent 2026 review of soft pneumatic actuators breaks down how different chamber geometries and materials trade off force, speed, and energy use, and why they are attractive for interacting safely with the human body and unstructured environments[Soft Pneumatic Actuators review, 2026].

2. Shape-changing materials and artificial muscles

Other soft systems use smart materials that respond to electricity, heat, or light. Meanwhile, materials scientists are developing “artificial muscles” that produce muscle-like contraction.

One 2025 study from South Korea describes a composite artificial muscle that can lift about 4,000 times its own weight and achieve a power density far beyond natural muscle, pointing to more powerful yet soft actuators for humanoids and wearable robots[Artificial muscle breakthrough, 2025].

These materials could let your future household robot have limbs that are as soft as a yoga band but far, far stronger.

3. Biohybrid robots: using living muscle

Then there is the wild frontier: biohybrid robots that literally use living muscle cells to power movement.

Researchers at the University of Tokyo, for example, reported a bipedal biohybrid robot powered by skeletal muscle tissue. Muscle strips grown in the lab were attached to a small flexible frame; when stimulated, they contracted and made the tiny robot walk[Biohybrid bipedal robot, 2024].

Similarly, work at ETH Zurich has explored bilayered “biofabricated” skeletal muscle tissues as actuators for soft robots, emphasizing how biological muscle can provide efficient, sustainable motion for next-generation machines[Biohybrid muscle actuators, 2023].

This is still early-stage research, but it hints at a future where robots are not just inspired by biology – they are literally part biological.

Where soft robots shine in the real world

You might be wondering: is this just cool lab demos, or does any of it matter for you?

Soft robots are already pushing into areas where rigid machines struggle:

  • Delicate manufacturing and logistics
    Soft grippers can pick up fruits, baked goods, or oddly shaped items without crushing them. Their compliance lets you skip some of the complex sensing and path-planning you need with rigid fingers.

  • Medical devices and minimally invasive surgery
    Catheter-like soft robots can snake through blood vessels or the digestive tract with less risk of damaging tissue than hard instruments. Their flexibility can also adapt to anatomy that varies from person to person.

  • Wearables and exosuits
    Soft robotic gloves and exosuits use pneumatic or cable-driven actuators to assist movement without bulky metal frames. They feel more like clothing than armor.

  • Search-and-rescue and exploration
    Octopus-style or worm-like robots can squeeze through rubble, pipes, or tight underwater spaces. Their bodies deform around obstacles instead of getting stuck.

And now startups are picking up the torch. Morph, a London-based company, describes itself as a “physically intelligent soft robotics platform” that uses AI to control flexible robots inspired by octopus-like adaptability, aiming to bring AI into the physical world in a safer, more adaptable form[Morph soft robotics startup, 2026].

The AI connection: brains for squishy bodies

To control soft robots, you need to coordinate many degrees of freedom – often continuously deforming structures rather than a few joints. That is where AI and modern ML come in.

Researchers are experimenting with:

  • Graph neural networks and reinforcement learning to coordinate octopus-like arms, optimizing how bending waves propagate along a soft limb for grasping or locomotion[Octopus-inspired GNN control, 2026].
  • Embodied intelligence ideas, where you rely less on perfect control algorithms and more on the natural physics of soft bodies to simplify behavior. The body “does some of the thinking” for you.

In practice, you might:

  • Use a model like ChatGPT, Claude, or Gemini as a high-level planner that decides “what” to do (search the rubble, pick up that object).
  • Use specialized control networks and physics-based models to decide “how” to deform the soft body to achieve it.
  • Continuously refine control policies using cloud-based training on data collected from fleets of soft robots in the field.

This separation of high-level intelligence from low-level control is emerging as a pattern across robotics, and soft robots push it to the extreme because of how complex their bodies are.

Challenges: squishy is hard (in all the ways that matter)

Soft robots are promising, but they are not a drop-in replacement for rigid machines yet. You should be aware of the main pain points:

  • Modeling and simulation are tricky
    It is much harder to simulate a deformable silicone tentacle than a rigid robot arm with a few joints. That slows down design and control optimization.

  • Actuation and power are still clunky
    Pneumatic systems need pumps, valves, and hoses. That adds bulk and noise. New solid-state artificial muscles and compact pumps are promising, but still maturing.

  • Durability and reliability
    Soft materials can tear, puncture, or fatigue. For industrial use, you need materials and designs that survive thousands or millions of cycles.

  • Control complexity
    A single soft limb can have effectively infinite degrees of freedom. Even with AI, building controllers that are fast, robust, and safe is an ongoing research problem.

The good news is that the underlying technologies – materials, AI control, compact actuators – are improving quickly, and the incentive is strong: robots that are both powerful and genuinely safe to be around.

What this means for you and what to do next

If you work with automation, product design, or AI, soft robotics is not just sci‑fi flavor; it is a set of techniques that can make your systems:

  • Safer to deploy around people.
  • Better at handling uncertainty and variability.
  • More compatible with the messy physical world that your algorithms ultimately need to touch.

Here are a few concrete next steps you can take:

  1. Explore the basics and current research

    • Skim the soft robotics overview on Wikipedia for a high-level map of the field[Soft robotics overview].
    • Browse recent papers on soft actuators and octopus-inspired designs to see what is actually working in 2024–2026, like the pneumatic actuator review and octopus-arm control work.

  2. Prototype with existing tools and services

    • Start simple: buy or 3D-print a basic soft gripper and control it with compressed air and a microcontroller.
    • Use AI tools like ChatGPT, Claude, or Gemini to help you design experiments, generate control code snippets, and interpret sensor data more quickly.

  3. Look for “soft spots” in your current systems

    • Ask where a rigid robot is overkill – handling fragile items, moving near people, or navigating clutter.
    • Consider whether a soft end-effector or soft-bodied helper robot could reduce risk, cost, or complexity.

Soft robotics is still young, but the direction is clear: as AI gets better at understanding and planning, we will need robotic bodies that can meet the real world halfway. Squishy, muscle-like machines – inspired by octopuses, worms, and our own tissues – are one of the most promising ways to get there.