GOGO
AI Smart Collar 2050
An AI smart-collar concept enhancing guide-dog and handler collaboration.
- Year
- 2025
- Category
- Health & Assistive Design
- Role
- Concept & Product Designer
- Duration
- 12 Weeks
- Type
- Ethical AI Studio Project
- Tools
- Rhino, Blender, KeyShot, Adobe Illustrator, AI Visualisation
- Output
- Future-scenario proposal, wearable-system concept, prototype study and ethical design framework
One-line Definition
An AI-enabled wearable system for guide dogs and visually impaired handlers.
Brief
GOGO imagines how guide-dog assistance could evolve by 2050 through AI, tactile navigation and animal-health sensing. The proposal combines a smart collar, shape-changing tactile shell and flexible bio-inspired skin layer. It is framed as a collaborative system that supports rather than replaces the judgement of the dog and handler.
Problem
Visually impaired travellers face traffic risk, lost orientation, social pressure and dense urban obstacles, while trained guide dogs remain scarce and expensive. Existing electronic aids often provide fragmented feedback and struggle with rapidly changing environments. The service gap is therefore both technological and systemic.
Research & Insights
Research reviewed guide-dog service coverage, stakeholder relationships and future developments in AI animal-language interpretation. Precedents included quadruped robots, visual-assistance AI, haptic devices for handlers and shape-morphing dielectric elastomers. The study also considered animal welfare, privacy, human control and the risks of assigning too much authority to automated systems.
Design Opportunity
The design opportunity was to create a shared sensory platform connecting the handler, dog and AI. Tactile information could convey route and environmental changes without adding visual or auditory overload, while health sensing could support the dog as a working partner. A future timeline helped separate near-term feasible functions from speculative long-term capabilities.
Concept Development
The collar interprets environment and behaviour data, translating selected information into vibration, audio and tactile surface changes. A camera module converts surrounding spatial information into a simplified tactile map, while an LLM-based communication layer supports basic bidirectional commands. Magnetic origami elements allow the wearable to be attached quickly and adjusted to the dog.
Form Development
The visual language draws on leaf veins, shells and flexible biological skins to soften the appearance of advanced technology. Layered petal-like panels wrap the dog without creating a rigid robotic silhouette. Wood-grain textures, warm orange accents and soft translucent membranes establish a calm, living quality.
Structure & Prototyping
The smart collar houses navigation, vibration, health sensing, status lighting and behaviour-translation modules. A dynamic texture shell uses shape-changing material to communicate simplified tactile information, while a laser-cut kirigami skin follows the movement of the dog and regulates ventilation. A skin-friendly lining and magnetic fastening support comfort and quick fitting.
Testing & Iteration
Scenario sketches and early mock-ups were used to test wearing logic, module placement and the relationship between rigid and flexible layers. The prototype work did not attempt to validate speculative AI functions; instead, it examined whether the physical interface could communicate the future concept clearly. Feedback led to clearer separation between navigation, health and tactile-display functions.
Final Design
The final concept presents GOGO as a three-layer wearable system: an intelligent collar, a tactile shape-changing shell and a flexible protective skin. Together they support navigation, environmental awareness, dog health and emotional communication. The system is visualised as a platform that could evolve gradually as sensing and AI technologies mature.
Use Scenario
During travel, the dog responds to immediate obstacles while the AI layer analyses route changes, weather and environmental hazards. The handler receives selected information through vibration and tactile patterns rather than a continuous stream of alerts. After the journey, health and behaviour data can support trainers, carers and veterinarians without removing human oversight.
Outcome
GOGO translates ethical-AI principles into a tangible product and service narrative. The project highlights that future assistive technology must value animal welfare, explainability, privacy and human agency alongside technical performance. Its main outcome is a framework for thinking about shared intelligence between people, animals and machines.