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A robot does not need a human face to create a social encounter. A pause, a turn, a hesitant approach, a repeated gesture, or an invitation to touch can communicate more powerfully than an expressive screen. Conversely, an artist working with a robot is not simply adding technology to an existing idea: the machine’s sensors, limits, latency, autonomy, and failures become part of the work.
The most useful exchange is therefore reciprocal. Roboticists can learn from artists how meaning emerges through timing, gesture, ambiguity, context, embodiment, and participation. Artists can learn from robots how rules, feedback, physical constraints, and an unpredictable nonhuman partner can generate new forms.
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The robot as an encounter
Mari Velonaki’s interactive installations offer a useful starting point. In Diamandini, a robotic statue was designed to elicit physical and social responses. In Fish-Bird, two wheelchair-like robotic forms communicated through movement and printed messages. The projects were not merely demonstrations of autonomous navigation. They were situations in which visitors had to decide what the machines’ behavior meant and how to respond.
An account of the projects in IEEE Spectrum reports more than 28,000 interactions with Diamandini and more than 36,000 with Fish-Bird. It also reports that Fish-Bird interactions lasted roughly 10 minutes on average, with some lasting more than 30 minutes, and that about 80 percent of Diamandini visitors reached toward or touched the robot. These figures describe those projects and their reporting; they are not a universal law that behavior always matters more than appearance.
They do, however, suggest a valuable question for robotics: what makes someone stay? Often it is not resemblance to a person but the feeling that something is happening between two bodies.
What roboticists can learn from artists
1. Behavior can matter more than appearance
Robots are frequently designed from the outside in. Teams choose a humanoid body, a face, eyes, a voice, or an anthropomorphic shell and then attempt to make the system socially convincing. Interactive art often reverses that order. It begins with the encounter: the visitor approaches, the work notices, something changes, and the visitor interprets the change.
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For a robot, social meaning may be carried by:
- the distance at which it acknowledges someone;
- whether it approaches, retreats, mirrors, waits, or interrupts;
- the speed and smoothness of its movement;
- the direction of its attention;
- the use of repetition, sound, touch, or stillness; and
- the context in which the action occurs.
A beautiful body cannot compensate for behavior that is mistimed, unresponsive, or socially incoherent. Nor must a plain or visibly mechanical body be a disadvantage if its actions are legible and engaging.
2. Timing is a form of intelligence
Artists understand timing as more than velocity. A dancer’s pause, a musician’s delay, an actor’s interruption, and a painter’s decision to leave a mark unresolved all shape expectation. The important question is not only whether an action is correct, but when it arrives.
Roboticists can ask:
- Should the robot respond immediately, or allow a moment for anticipation?
- When does a repetition feel reassuring, and when does it feel broken?
- Can hesitation communicate uncertainty without looking like a software fault?
- When should the robot yield space rather than claim attention?
- How does the human’s tempo change the robot’s next action?
Workshops that brought improvising musicians together with mechanical-engineering and computer-science researchers found shared concerns around time, space, action, embodiment, constraint, and decision-making. The resulting research distinguishes object memory—a repertoire of recognizable material—from process memory: knowledge of how to vary, transition, and solve problems during performance. The distinction is discussed in the Frontiers study and its accessible full text.
This is a practical design principle. A robot should not only know a collection of actions. It should know how to move between them, adapt their intensity, and recover when its partner does something unexpected.
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3. Improvisation is structured, not random
Improvisation does not mean abandoning all rules. Musicians improvise within physical ability, genre, shared conventions, learned repertoires, spatial limits, and feedback from other performers and the audience. They decide when to follow an expectation and when to depart from it.
A robotic improviser could therefore:
- maintain a repertoire of recognizable gestures or sounds;
- identify the current interaction and environmental constraints;
- select a variation or transition rather than a fixed next step;
- monitor the human’s response;
- revise its plan while preserving a sense of continuity; and
- signal recovery when the exchange goes wrong.
This is different from injecting noise into a control system. Random sensor errors may produce novelty, but novelty alone is not improvisation. Meaningful variation depends on context, memory, constraints, and response.
4. Communication is embodied and contextual
Engineering often defines communication as successful transmission: did the robot send the intended message and did the person receive it? Artistic practice adds another layer. What did the encounter invite? What did it evoke? What remained uncertain? What did the bodies in the space make possible?
The development of Honda’s Haru social robot involved roboticists working with animators, performers, and sketch artists. The resulting research considers communication through encounter, story, movement, and dance, rather than treating it only as coded information transfer. See the original Frontiers article or its open-access version.
A robot communicates through orientation, distance, posture, gesture, speed, sound, touch, and spatial placement. Language may clarify the situation, but it is not the whole situation. For human-robot interaction, a useful system may need both kinds of communication: accurate information and an encounter that people can interpret.
5. Design for interpretation, not only recognition
Art often leaves room for the audience to complete the work. A robotic installation can use suggestive gestures, delayed responses, behavioral motifs, incomplete narratives, symbolic objects, or a productive tension between appearance and action.
Ambiguity must be handled carefully. Productive ambiguity tells the participant that interpretation is part of the experience. Bad ambiguity leaves the person unable to tell whether the robot noticed them, misunderstood them, or malfunctioned.
The distinction is especially important outside galleries. In a care, educational, or workplace setting, uncertainty about whether a robot has understood a request may be unacceptable. In an artwork, uncertainty may be the point. The design must make the nature of the invitation clear enough that people can choose how to participate.
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6. Treat the audience as part of the system
Interactive art makes the visitor an active component. Approach distance, touch, speech, dwell time, repeated visits, attempts to provoke the robot, and decisions to leave can all reveal how an interaction is being understood.
That evidence is valuable, but it needs interpretation. A long visit may indicate fascination, emotional involvement, confusion, novelty, or uncertainty about how to end the exchange. Engagement time is not automatically usability, trust, learning, or attachment. Artists can help research teams observe the quality of an encounter rather than counting only its duration.
7. Make failure safe and legible
Artists may use glitches, stutters, repetition, mechanical noise, visible limits, and unresolved endings as expressive material. Engineers usually try to remove these phenomena. Both instincts are justified, but they apply to different kinds of failure.
| Type of limitation or failure | What it means |
|---|---|
| Expressive limitation | A visible physical or behavioral constraint that contributes to the robot’s character. |
| Productive failure | A deviation that is safe, understandable, and gives the person a way to respond. |
| Unrecoverable failure | A breakdown that destroys the interaction without a legible next step. |
| Unsafe failure | A malfunction that risks injury, property, privacy, or loss of control. |
The goal is not to make robots unreliable. It is to design graceful recovery: stop safely, explain what happened at the appropriate level, preserve the person’s agency, and resume only when the situation is clear.
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What artists can learn from robots
Constraints generate form
A robot brings constraints that a digital animation or fixed sculpture does not: limited degrees of freedom, actuator backlash, sensor noise, latency, battery limits, calibration drift, collision boundaries, material wear, software dependencies, and maintenance schedules. Audiences introduce further unpredictability.
For an artist, these are not merely production problems. They can become a vocabulary. A painting made by a robot may reveal the pressure of a mechanical arm, the grain of a tool, the delay between sensing and marking, or the gradual effect of calibration drift. A robotic performance may make energy consumption, friction, and recovery visible rather than hiding them behind seamless automation.
A fixed choreography can remain artistically valuable because of the machine’s physical presence. A remotely controlled robot can also be part of a meaningful hybrid performance even though its behavior is teleoperated. The important question is what the physical system contributes to the work—not whether it satisfies a narrow definition of autonomy.
Author rules, not every moment
Robotics expands artistic authorship beyond scripting every visible event. An artist might author:
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- an outcome;
- a rule;
- a repertoire of possible actions;
- a set of constraints;
- a relationship between robot and audience; or
- a space in which behavior can emerge.
This does not mean the robot becomes independent of its maker. Its behavior remains shaped by mechanical design, sensors, code, training data, control policies, environmental assumptions, supervision, maintenance, curatorial framing, and audience behavior.
A system can generate an output that its maker did not specify without becoming an artist in the human sense. The more precise claim is that robotic systems can generate novel results inside human-designed technical, conceptual, and social conditions. A survey of robotic art in Multimodal Technologies and Interaction connects robotic art’s concerns—timing, anticipation, expression, dexterity, autonomy, intentionality, and social interaction—with central problems in robotics research.
Collaborate with a nonhuman partner
A robot can be a co-performer, generative instrument, choreographic constraint, provocateur, mirror, reluctant collaborator, or source of unexpected material. Its value may lie less in producing an impressive autonomous artifact than in forcing the human partner to respond.
The most interesting question is not whether the machine is “really creative.” It is what kinds of creativity emerge when an artist works with a system that is partly predictable, partly autonomous, physically present, and capable of disrupting the artist’s intentions.
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“The robot made it” is usually too simple. Authorship may be distributed among the artist who defines the concept, engineers who build the mechanism, programmers who write the behavior, curators who frame the encounter, visitors who trigger or redirect it, and the machine that physically executes the process.
Autonomy can produce surprise and new material, but it also complicates safety, reproducibility, attribution, and maintenance. A generative robot may produce novel outputs that are technically unpredictable yet conceptually empty. Conversely, a tightly constrained machine may produce a powerful work because the constraint is the concept.
Anthropomorphic design has genuine benefits. Familiar faces, voices, and gestures can make social cues easier to understand and encourage participation. But it can also cause people to overestimate what the robot knows, treat programmed affect as genuine emotion, or trust a system beyond its capabilities. A friendly persona may conceal surveillance, institutional power, human labor, or the absence of real understanding.
Another direction is robot-specific movement: motion that is expressive without pretending to be human. Performance-oriented HRI research has explored this possibility, including the question of what kinds of movement become available when imitation is not the default. Recent conference work also addresses robotic touch, meaning-making, expressive motion, and non-anthropomorphic forms; the direction is active research, not a settled consensus. See The Drama Review, the HRI proceedings, and the DIS 2026 program.
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Emotional engagement needs ethical limits
A robot can elicit emotion without possessing emotion. Designers should distinguish the robot’s observable behavior, the person’s interpretation, the maker’s intention, the machine’s internal computation, and any claim about subjective experience.
Before inviting interaction, a project should ask:
- What does the robot sense, store, or transmit?
- Are visitors told when their behavior is being collected as research data?
- Can people refuse touch, recording, or participation without pressure?
- Does the work exploit a robot’s apparent vulnerability to manipulate visitors?
- Could children, older adults, or other vulnerable participants infer capabilities the system does not have?
- Are movement, sound, lighting, and access designed for people with different bodies and senses?
Emotional intensity is not the same as ethical success. A compelling encounter must also preserve consent, privacy, safety, and the right to disengage.
How to evaluate an artist-robot collaboration
No single metric can capture a work that is simultaneously a machine, an interaction, and an artwork. Evaluation should be plural:
- Technical: reliability, latency, safety, repeatability, environmental robustness, and recovery from sensor or actuator failures.
- Interactional: comprehension, timing, mutual adaptation, user agency, accessibility, and the ability to start or end participation.
- Artistic: expressiveness, coherence, novelty, interpretive richness, and the relationship between constraint and form.
- Social and ethical: consent, privacy, cultural intelligibility, non-deceptive framing, inclusion, and the distribution of agency and authorship.
Dwell time, audience size, or social-media attention may be useful signals, but they cannot stand in for artistic value. A project should still matter after the novelty of “a robot doing art” has worn off.
A practical design test
Teams developing an interactive robotic artwork—or a socially capable robot informed by art—can use these questions before deployment:
- Is the robot’s behavior legible without reducing it to literal human imitation?
- Does the system leave room for interpretation and human choice?
- Do its physical limits contribute to the work intentionally?
- What happens when a visitor behaves in an unexpected way?
- Can every unsafe state be detected and stopped?
- Can the robot recover in a way people understand?
- Are claims about intelligence, emotion, and autonomy honest?
- Have artists and engineers influenced the system reciprocally?
- Does the evaluation include technical, experiential, artistic, and ethical criteria?
- What insight into human-machine relations remains when spectacle is removed?
The reciprocal lesson
Roboticists should learn to design encounters, not only machines. Artists should learn to compose systems, not only objects. Both fields need to take seriously the space between bodies: the pause before a response, the uncertainty of an approach, the material resistance of a mechanism, the audience’s interpretation, and the rules that make improvisation possible.
Art does not automatically make a robot more capable, useful, or ethical. Robotics does not automatically make art more original. Their value lies in exposing questions that neither field can answer alone: how agency is perceived, how meaning is embodied, how failure becomes understandable, and how a human and a machine can shape an event together.
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