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Department of Computer Science — KAIST

Autonomous Systems Lab

We build robots that work alongside people in unstructured environments. Our research spans perception, planning, and human-robot interaction, with a focus on systems that can explain their decisions. Founded by Prof. Jae-Won Kim in 2018. Currently 4 postdocs, 12 PhD students, and 6 master's students. We publish at ICRA, RSS, CoRL, and HRI.

Team

Prof. Jae-Won Kim — Principal Investigator, Dr. Soo-Min Park — Postdoc, Manipulation, Dr. Lei Zhang — Postdoc, Perception, Yuna Choi — PhD, Human-Robot Interaction, Taehyun Lim — PhD, Motion Planning

Key Papers

'Uncertainty-Aware Grasping in Clutter' — RSS 2025, 'Explainable Motion Planning for Collaborative Assembly' — CoRL 2024, 'Learning Trust Models from Operator Behavior' — HRI 2024

Research Lab

University research lab page with focus, team members, and key papers.

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Schema

FieldType
lab_name string
affiliation string
mission text
team list<string>
papers list<string>
email email
lab_url link

Apply Values

POST JSON to the API endpoint:

POST /api/templates/research-lab/apply
Content-Type: application/json

{
  "lab_name": "Autonomous Systems Lab",
  "affiliation": "Department of Computer Science — KAIST",
  "mission": "We build robots that work alongside people in unstructured environments. Our research spans perception, planning, and human-robot interaction, with a focus on systems that can explain their decisions.\n\nFounded by Prof. Jae-Won Kim in 2018. Currently 4 postdocs, 12 PhD students, and 6 master's students. We publish at ICRA, RSS, CoRL, and HRI.",
  "team": [
    "Prof. Jae-Won Kim — Principal Investigator",
    "Dr. Soo-Min Park — Postdoc, Manipulation",
    "Dr. Lei Zhang — Postdoc, Perception",
    "Yuna Choi — PhD, Human-Robot Interaction",
    "Taehyun Lim — PhD, Motion Planning"
  ],
  "papers": [
    "'Uncertainty-Aware Grasping in Clutter' — RSS 2025",
    "'Explainable Motion Planning for Collaborative Assembly' — CoRL 2024",
    "'Learning Trust Models from Operator Behavior' — HRI 2024"
  ],
  "email": "[email protected]",
  "lab_url": "https://example.com/aslab"
}

AI Prompt

Copy this prompt to generate a compatible template with any LLM:

You are an expert frontend designer.
Create a beautiful, modern HTML template for "Research Lab" that strictly follows the constraints and schema below.

## Constraints
- Style everything using inline style="" attributes only (no external CSS, no <link>, no <style> tags)
- Do NOT use: <script>, <iframe>, <form>, <input>, <textarea>, <button>, <select>, <object>, <embed>, <details>, <dialog>
- Place data placeholders using this syntax: {{lab_name:string}}, {{affiliation:string}}, {{mission:text}}
- The template must be a single HTML fragment (no <html>, <head>, or <body> tags)
- Use system fonts: font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif (or Georgia, serif for editorial)

## JSON Schema
```json
{
  "lab_name": "string",
  "affiliation": "string",
  "mission": "text",
  "team": [
    "string"
  ],
  "papers": [
    "string"
  ],
  "email": "email",
  "lab_url": "link"
}
```

## Placeholder Syntax
Each data point uses `{{key:type}}` — for example:
- `{{lab_name:string}}` → string
- `{{affiliation:string}}` → string
- `{{mission:text}}` → text
- `{{team:list<string>}}` → list<string>
- `{{papers:list<string>}}` → list<string>
- `{{email:email}}` → email
- `{{lab_url:link}}` → link

Output ONLY the HTML code block. No explanation.
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