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│ ██╔██╗ ██║█████╗ ██║ ██║ 🤖 ⚡ 🧠 │
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│ Exploring AI-Native Robotics Engineering │
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目标:探索 AI 与机器人产业的深度融合,推动机器人从设计、研发到制造的全流程智能化。
graph LR
A[AI & Agents] --> B[Design]
B --> C[R&D]
C --> D[Manufacturing]
D --> E[Intelligent Robotics]
E --> A
style A fill:#f9f,stroke:#333,stroke-width:4px
style D fill:#bfb,stroke:#333,stroke-width:2px
我正在探索如何将 AI Agent、知识系统与工程工具融入机器人全生命周期,让复杂的设计、研发和制造流程变得更智能、更高效、更可靠。
class RoboticsIntelligence:
"""Explore intelligent workflows for robotics engineering."""
def __init__(self):
self.mission = "Intelligence across the robotics lifecycle"
def capabilities(self):
return {
"design": ["Assisted Design", "Knowledge Reuse", "Simulation"],
"research": ["Engineering Copilot", "Experimentation", "Collaboration"],
"manufacturing": ["Process Intelligence", "Quality", "Automation"],
"foundation": ["AI Agents", "Knowledge Systems", "Data & Tools"],
}
def tech_stack(self):
return {
"core": ["Python", "FastAPI", "SQLAlchemy", "Alembic"],
"llm": ["LLM", "RAG", "Agent Runtime"],
"infra": ["PostgreSQL + pgvector", "Redis", "MinIO/S3", "Docker Compose"],
"observability": ["OpenTelemetry", "Prometheus", "Grafana"],
}
def direction(self):
return "From design to R&D and manufacturing"技术博客: www.inkbot.cn
- Agent 系统手册:从概念到工程实践
- AI 时代,程序员最该维护的不是代码,是身体
- MetaBot 架构分析:AI Agent 的远程控制总线
- 【交易圣经】五本经典真正讲的是同一件事:交易不是预测,而是生存系统
- 【交易圣经】《以交易为生》:真正的交易系统,先管理自己,再管理仓位
class Ink:
def __init__(self):
self.name = "ink"
self.role = "AI & Robotics Explorer"
self.location = "China"
self.blog = "http://www.inkbot.cn"
def current_focus(self):
return {
"robotics_lifecycle": ["Design", "R&D", "Manufacturing"],
"ai_agents": ["Reasoning", "Tools", "Workflow"],
"knowledge_systems": ["Retrieval", "Context", "Knowledge Reuse"],
"engineering": ["Reliability", "Observability", "Human-AI Collaboration"],
}
def philosophy(self):
return "Make intelligence a native capability of robotics engineering."
me = Ink()"Make intelligence a native capability of robotics engineering."