FOCUS ONE Learning Assistant Robot
Status: Academy prototype and research direction. Active · interest open. A whole-room learning robot concept combining mobility, environment sensing, document capture and privacy-bounded learning support. Award information is pending and is not published as an award claim.
The local builder stays in the browser. Write to info@biaa.com after an official channel is confirmed.Academy prototype / research direction
FOCUS ONE Learning Assistant Robot
A whole-room learning robot concept combining mobility, environment sensing, document capture and privacy-bounded learning support.
- Goal
- How can a room-scale robot support study routines without turning a child’s learning space into continuous surveillance?
- Prerequisite
- Map every proposed sensor to a necessary purpose or remove it. Adult control is required.
- Evidence
- A controlled indoor prototype with manual oversight, minimal sensing, local test data and explainable learning-support actions. No continuous surveillance or medical diagnosis.
- How to join
- Write to info@biaa.com. Do not send a child’s face, school or contact details.
Check the project status before learning begins
This page is an Academy prototype and research direction. Required nodes form the smallest working system. Optional nodes can be added to one learner’s path or assigned to a teammate. Selections are not submitted or stored. Live client-side course generators are not rebuilt here; the public page states the inspectable brief.
- 01Status: Active · interest open
- 02Competition award: award information pending; not published as an award claim
- 03Source: Project source page supplied by the owner · 2026-08-31
- 04Learning output: A controlled indoor prototype with manual oversight, minimal sensing, local test data and explainable learning-support actions.
The project begins with a bounded question
How can a room-scale robot support study routines without turning a child’s learning space into continuous surveillance?
- 01Define the intended user and test environment
- 02Separate the current prototype from future ambition
- 03Name the human decisions and stop conditions
The technology tree shows dependencies; the growth tree shows capability forming
Learning support and privacy brief sits inside a four-stage tree. Completing a node is learning evidence, not a claim that the larger system is field-ready.
- 01Frame: define the user, purpose, constraints and responsible boundary
- 02Foundations: learn the scientific, mechanical and computational bases
- 03Subsystems: build, test and document separable hardware and software modules
- 04Integrate: connect interfaces and use evidence to explain performance and limits
Learning support and privacy brief
What to learn: Learner agency, adult oversight, data minimisation, visible sensing and stop controls.
Hands-on task: Map every proposed sensor to a necessary purpose or remove it.
Prerequisite: none beyond the project question and safety boundary. Adult supervision is required for any physical apparatus.
The learning outcome must be inspectable
A controlled indoor prototype with manual oversight, minimal sensing, local test data and explainable learning-support actions.
- 01Keep design notes and version history
- 02Retain raw observations and test data
- 03Explain failures, uncertainty and what changes next
- 04Peer or mentor review against visible criteria
Safety and responsibility are part of the technology tree
Minimise camera and microphone use; no continuous surveillance, emotion or medical diagnosis. Adult control and physical stop are required.
Use the lowest-risk model that can answer the learning question. Require adult or qualified oversight where the domain demands it. Do not publish personal learner data or unsupported performance claims. Education prototypes on this academy site are a different maturity from field application published elsewhere.
How to join a discussion
Write to info@biaa.com with an educational use, or prepare a local brief on the submit page. Interest is not admission. Roles, timing, mentors and award information remain unpublished until verified. The local brief builder does not transmit or store personal data. Partner names and marks stay off this page until written confirmation.
Prepare a local project brief
The local builder stays in the browser. Write to info@biaa.com after an official channel is confirmed.
香港科创资助与专项文件准备
按项目准备商业计划书、创始人介绍、研发证据、预算、股权与申请材料；政策、期限与证据状态分别核实。
打开本项目资助申请与资料清单 →