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All through the exhibition corridor on the 2026 IEEE Worldwide Convention on Robotics (ICRA), in Vienna, one demonstration appeared to draw a disproportionate quantity of consideration.
Two robotic fingers have been making a balloon canine. Slowly and intentionally, the robotic twisted a protracted balloon into loops, bends, and joints with out popping it. Guests stopped, watched, and infrequently returned with colleagues to observe once more.
AGILINK’s balloon canine demonstration attracts a crowd at ICRA 2026.AGILINK
At first look, the demonstration appeared virtually playful. Amongst roboticists, nevertheless, balloon twisting is well known as an unusually troublesome manipulation job.
A balloon is light-weight, extremely deformable, slippery, and intensely delicate to drive. Each twist modifications its geometry and inner strain, turning a seemingly easy exercise right into a repeatedly altering bodily interplay drawback.
People navigate these modifications virtually intuitively. Whereas making a balloon animal, individuals hardly ever assume consciously about drive regulation, slip prevention, or contact stability. They merely modify.
For robots, these changes stay remarkably troublesome. The problem shouldn’t be merely shifting fingers to the appropriate positions. The more durable half is sustaining secure interplay whereas the thing itself is altering.
Highlights from AGILINK’s ICRA 2026 demonstrations, together with visuotactile sensing, in-hand manipulation, balloon-animal shaping, and different contact-rich duties enabled by the corporate’s newest OmniHand platform.AGILINK
That distinction helps clarify why the balloon canine drew a lot consideration in Vienna. What gave the impression to be a dexterity demonstration was, in some ways, an illustration about contact itself.
As robotic manipulation continues to advance, a rising variety of researchers are arriving at an analogous conclusion: lots of the hardest issues in robotics start solely after contact happens.
Balloon twisting combines two challenges that robotics has historically struggled to resolve concurrently: long-horizon job execution and contact-rich manipulation.
The primary issues movement.
A balloon canine shouldn’t be created by means of a single grasp or twist. It emerges by means of a fastidiously ordered sequence of manipulations, every setting the situations for what follows. A small rotational error launched early might seem insignificant at first, but a number of steps later it might probably forestall the ultimate construction from forming altogether.
In that sense, balloon twisting is a long-horizon job. Success relies upon not solely on performing particular person actions accurately, but additionally on preserving the longer term feasibility of the complete manipulation course of.
To deal with this problem, AGILINK started by gathering demonstrations from skilled balloon artists. Human actions have been mapped onto robotic fingers to ascertain an preliminary manipulation coverage. However profitable demonstrations alone have been inadequate.
In follow, among the most useful studying occurred when execution started to float towards failure. Every time instability emerged, human operators intervened and corrected the manipulation in actual time. These interventions have been recorded and integrated into reinforcement-learning cycles, permitting the system to be taught not solely how profitable demonstrations unfold, but additionally how skilled operators get better when issues begin to go incorrect.
By this course of, the robotic regularly acquired the capabilities required for long-horizon job execution—a group of talents that AGILINK teams below the time period movement intelligence: the flexibility to generate actions, coordinate bimanual behaviors, and execute prolonged manipulation sequences below real-world uncertainty.
OmniHand 3 Extremely-M on show at ICRA 2026.AGILINK
But movement alone doesn’t clarify why balloon twisting stays troublesome. The second problem is contact.
The robotic should repeatedly regulate drive, modify contact places, and reply to refined modifications within the object’s state. These choices are troublesome to encode by means of specific guidelines. Even expert human operators typically depend on tactile instinct developed by means of expertise slightly than consciously articulated methods.
Evaluation of these interventions revealed that many failures didn’t originate from incorrect motion sequences, however from the breakdown of contact itself.
To higher seize these interplay dynamics, AGILINK collected contact-centric intervention information and integrated these interactions into reinforcement-learning coaching. Fairly than studying solely which motions to carry out, the system additionally realized how people preserve stability when contact situations start to deteriorate.
AGILINK describes this functionality as contact intelligence: the flexibility to ascertain, preserve, and adapt bodily interplay as drive distribution, friction, deformation, and get in touch with geometry repeatedly evolve.
The excellence between the 2 capabilities is refined however necessary. Movement intelligence determines what the robotic intends to do. Contact intelligence determines whether or not it might probably proceed doing it. For balloon twisting, each are obligatory. One supplies the sequence of actions. The opposite retains these actions bodily viable.
YouTuber KhanFlicks follows OmniHand’s motions whereas studying to fold a balloon canine on the AGILINK sales space.AGILINK
Between a balloon slipping away and a balloon bursting lies a slender area of stability. Profitable manipulation depends upon discovering that area—and remaining inside it all through the duty.
Introducing the OmniHand 3 Extremely-M Dexterous Hand
The balloon canine demonstration showcased a manipulation functionality. It additionally revealed a broader query. How a lot contact intelligence will be achieved by means of studying alone? A robotic can solely regulate what it might probably understand. It could solely reply as rapidly as its {hardware} permits.
As manipulation duties grow to be more and more advanced, researchers are discovering that progress relies upon not solely on higher insurance policies, but additionally on richer sensing and quicker bodily response.
That realization shaped the backdrop for AGILINK’s second main announcement at ICRA 2026. Alongside the balloon canine demonstration, the corporate launched the OmniHand 3 Extremely-M.
OmniHand 3 Extremely-M carefully matches the scale of an grownup human hand.AGILINK
The 2 displays represented totally different phases of the identical technological trajectory. If the balloon canine demonstrated what contact intelligence can already accomplish immediately, Extremely-M was designed to discover what contact intelligence might require subsequent.
Constructing {Hardware} for Contact Intelligence
Roughly the scale of an grownup human hand, the OmniHand 3 Extremely-M integrates 20 energetic levels of freedom inside a human-scale type issue.
Its most distinctive function is a completely direct-drive structure. By adopting direct-drive actuation all through the system, the hand is designed to allow quicker and extra clear drive regulation and better force-control bandwidth, enabling quicker response as contact situations change. For contact-rich manipulation, responsiveness will be as necessary as sensing itself.
By adopting direct-drive actuation all through the system, the OmniHand 3 Extremely-M is designed to allow quicker and extra clear drive regulation and better force-control bandwidth, enabling quicker response as contact situations change.
The platform additionally incorporates tactile sensing throughout practically the complete hand. Every fingertip accommodates a miniature vision-based tactile sensor, whereas greater than 300 three-dimensional tactile sensing factors are distributed all through the palm. Collectively, they supply info not solely about the place contact happens, however how contact is evolving.
The system is designed to estimate strain distribution, shear forces, native deformation, slip tendencies, and different interplay dynamics that always stay invisible to traditional position-based management techniques.
In accordance with AGILINK’s checks, particular person sensors obtain drive decision of roughly 0.005 N—roughly equal to detecting the load of a sheet of paper resting on a fingertip. Spatial decision reaches roughly 0.04 mm, whereas sensing density approaches 50,000 sensing factors per sq. centimeter.
OmniHand 3 Extremely-M acknowledges feather texture by means of vision-based tactile sensing.AGILINK
For dexterous robots, contact has historically been a largely hidden course of. Extremely-M is designed to make that course of extra observable.
Fairly than merely detecting that contact has occurred, the system makes an attempt to resolve the place interplay is going on, how forces are distributed, whether or not instability is starting to emerge, and the way manipulation methods ought to adapt in response.
The balloon canine provided a glimpse of what contact intelligence can already accomplish. Extremely-M explores a special query: what capabilities could also be required to push contact intelligence additional?
The Bodily World Stays the Hardest Benchmark
The importance of contact intelligence extends far past balloon animals. Many duties that proceed to withstand automation contain unstable or deformable interplay: cable insertion, garment dealing with, versatile packaging, delicate meeting, connector mating, device use, and family manipulation.
These duties are troublesome not as a result of robots can’t attain the right location, however as a result of sustaining secure interplay after contact begins stays terribly exhausting.
For many years, robotics achieved a lot of its successes by lowering uncertainty. Factories have been engineered to make robotic movement predictable, repeatable, and extremely structured. The bodily world behaves in another way.
A rising share of robotics analysis is shifting towards interplay itself—understanding how robots can set up, preserve, and adapt bodily contact inside environments that stay basically unpredictable.
Objects shift. Supplies deform. Friction modifications. Contact evolves. Actual environments hardly ever comply with scripts. Seen by means of that lens, the balloon canine was by no means actually concerning the balloon canine. What attracted consideration at ICRA was not merely a visually spectacular demonstration, however what it revealed: intelligence within the bodily world is in the end measured by means of interplay.
As movement era continues to mature, a rising share of robotics analysis is shifting towards interplay itself—understanding how robots can set up, preserve, and adapt bodily contact inside environments that stay basically unpredictable.
For robots shifting past structured environments and into much less predictable real-world settings, managing contact might grow to be as necessary as movement itself.
