The problem
A useful robot assistant must connect speech, intent, information, and device actions in a coherent interaction.
Voice & robotics
Temi · Uzbek AI assistant
Connecting Uzbek-language conversation to a robot’s physical capabilities.
↳ Created with my teamAt a glance
The Temi project connects Uzbek-language voice interaction with the capabilities of Temi S1 V3 robots. It is intended for staff and visitors in an institutional setting. Our team’s documented integration combines speech interaction, wake-word work, LLM services, and the Temi SDK with information access and navigation. A backend coordinates registration, authenticated channels, commands, and telemetry, while speech and movement remain distinct integration layers. This illustrates how conversation connects to device actions. Connectivity, response timing, and available SDK functions constrain the experience; the project does not claim general autonomous robotics.
System flow
- 01Voice & intent
- 02LLM & commands
- 03Robot interaction
Created with my team
The projects in this portfolio are a shared effort. Product decisions, architecture, engineering, and delivery belong to the people who build together. My responsibilities vary from project to project.
Who it serves
Staff and visitors interacting with Temi S1 V3 robots in an institutional environment.
What we build
Our team connects Uzbek voice interaction, wake-word work, LLM services, and the Temi SDK to navigation, information access, and device control.
Engineering decisions
A backend coordinates robot registration, authenticated channels, command dispatch, and telemetry. Speech and movement integration are developed as distinct layers.
Capabilities
Uzbek conversation, information retrieval, wake-word development, navigation integration, and backend monitoring.
Context & limitations
This is an integration project using Temi hardware. Response timing, connectivity, and available SDK functions constrain behavior; it is not a claim of general autonomous robotics.
Technical foundation