Humanoid Robot Voice Control SDK
Personal or service robot
How BotSurf works on a Humanoid Robot
BotSurf runs on a Humanoid Robot as an on-device AI voice agent, not a fixed list of matched commands. Voice commands, AI agent, home control Because the underlying engine is a real AI model rather than a command-matching layer, it handles phrasing variation, multi-step requests, and follow-up questions the way a person actually talks — not the rigid "say this exact phrase" pattern older voice integrations require.
The manufacturer opportunity
Robotics market. This is a genuine AI differentiator, not a rebadged wake-word matcher — Humanoid Robot manufacturers can market real on-device AI reasoning, multi-step task handling, and privacy-preserving local processing, positioning against competitors still shipping fixed-command "voice control" as if it were the same thing.
Hardware & memory baseline
The floor Robotics & Emerging Tech devices need to clear before integration; exact figures are confirmed per project once we know your chipset and target markets.
Minimum RAM
4 GB+ for devices running real-time AI decision-making (robots, drones); varies widely for experimental/research-stage hardware
Minimum storage
8 GB+ where the device needs local AI model weights and sensor-fusion data, not just voice-command handling
CPU architecture
ARM or x86 with dedicated AI/ML acceleration (NPU) strongly recommended — this category asks the most of the AI stack of any, well beyond voice alone
Microphone array
Far-field, often multi-directional array for robots operating in open spaces; drone/vehicle form factors need noise handling for their own propulsion noise specifically
Network
Varies enormously by device — this category spans everything from fully offline autonomous operation to constantly connected cloud-assisted robots
Integration scope
The newest and least standardized category BotGentz supports — expect a more collaborative, custom integration scope than the established SDK paths for TVs, speakers or phones
Chipset compatibility
Case-by-case: NVIDIA Jetson, Qualcomm Robotics platforms and custom silicon are all in active use across this category, and integration is scoped per project