技术
架构
The SAVEN Human Assistance Layer
SAVEN develops the intelligence, interaction, personalization, integration, and safety-oriented technology connecting robotic systems with people. The value is not limited to building mechanical robots.
一句话
One intelligence approach.
为何有益
互操作性: 系统仅通过明确、有限协议交换信息。安全与隐私规则仍然适用。
接下来
Five technology layers guide the work: perception, human movement understanding, assistance intelligence, personalization, and safety and…
Disciplines
人的数据Structures for history, signals, permissions and changing conditions without unrestricted collection.
人的数据模型Controlled interface between human context and systems that may use authorized information.
数据基础设施Engineering substrate for storing, moving and governing authorized data.
互操作性Defines how SAVEN Core systems exchange information with authorized external environments.
隐私Architecture that limits what information may be used, why it may be used and who may access it.
安全Protects systems, interfaces and authorized data pathways from misuse and unauthorized access.
人工智能Models and rules intended to assist judgment under permissions, uncertainty handling and human oversight.
自动化Controlled system behavior for tasks that can be delegated safely.
机器人技术Engineering discipline for devices and interfaces that act in the physical world under governance.
继续阅读
Human Assistance Layer
These layers describe the development model. They are not claimed as certified, deployed capabilities.
- Perception — Understanding people, movement, surroundings, objects, and context through compatible sensors and robotic systems.
- Human Movement Understanding — Interpreting movement patterns and physical interaction to help determine when and how assistance may be appropriate.
- Assistance Intelligence — Software and AI designed to coordinate robotic assistance according to the task, environment, system capabilities, and user context.
- Personalization — Adapting interaction and assistance to individual preferences, routines, capabilities, and permitted data.
- Safety & Control — Designing human oversight, operational limits, interruption mechanisms, system monitoring, and safe-state behaviors into human-robot interaction.
Hardware-Agnostic Approach
The future of assistive robotics will not be defined by one machine. SAVEN’s technology direction should not depend on a single robot manufacturer, mechanical architecture, or form factor. Compatibility with specific commercial robots is not implied unless an integration exists.
- Humanoid robots
- Mobile robots
- Robotic arms
- Wearable robotics
- Rehabilitation systems
- Future assistive devices
From Research to Real-World Assistance
- 01 Research — human needs, use cases, interaction models, safety requirements.
- 02 Integration — sensors, AI, robotics platforms, software.
- 03 Prototype — controlled interaction, movement, tasks, user interfaces.
- 04 Validation — safety, usability, performance, human feedback.
- 05 Pilot programs — selected environments, partners, professional oversight.
- 06 Deployment — defined applications, qualified platforms, operational support.
工程原则
- 互操作性 — 系统仅通过明确、有限协议交换信息。安全与隐私规则仍然适用。
- 安全 — 边界、升级与停止条件是设计的一部分。安全不是口号或认证声明。
- 隐私 — 隐私定义关于人的哪些信息可用、为何可用及谁可见。
- 人工监督 — 重要行动仍归人类权威。自动化与决策支持不替代人类判断。
- 可扩展性 — 仅当权限、证据与治理支持时，能力方可扩展。
- 可维护性 — 学科、接口与状态标签保持明确，使工作长期可审查。
范围
This page is a knowledge index. It describes Technology architecture, relationships and scope.
状态标签仅描述架构成熟度，不意味着系统在生产环境运行。
本页不做客户、合作、认证或验证声明。
技术页面描述预期架构，不意味着商业部署、临床使用或监管批准。