Autonomous Pick-and-Place Robot System with Multi-Floor Navigation (Husky + UR3)

Multi-floor navigation + manipulation with hybrid maps, AI vision, and AR markers for reliable button pressing

Overview

I developed an autonomous multi-floor pick-and-place robot system combining a Clearpath Husky mobile base and a UR3 manipulator. The system focuses on reliable multi-floor navigation and accurate button press actions using hybrid mapping and perception. :contentReference[oaicite:14]{index=14}

What I Did

  • Multi-floor autonomy (navigation + task execution)
    • Developed a multi-floor pick-and-place system using Husky + UR3. :contentReference[oaicite:15]{index=15}
  • Reliable interaction for real environments
    • Applied:
      • Hybrid maps
      • AI vision
      • AR markers
    • Goal:
      • safe navigation
      • accurate button pressing (e.g., elevator panels / door buttons) :contentReference[oaicite:16]{index=16}

Publication

This project is associated with a journal submission (under revision). :contentReference[oaicite:17]{index=17}

  • Development of Autonomous Pick-and-Place Robot System with Multi-Floor Navigation
    Journal of Korea Robotics Society (Under revision) :contentReference[oaicite:18]{index=18}

My Role

  • System integration (navigation + perception + manipulation)
  • Implemented robust button-press pipeline using hybrid map + visual/marker cues :contentReference[oaicite:19]{index=19}

Tech Stack

  • Mobile Robotics: Husky navigation stack (multi-floor)
  • Manipulation: UR3 pick-and-place + button pressing
  • Perception: AI vision + AR marker cues
  • Mapping: hybrid map strategy for reliability :contentReference[oaicite:20]{index=20}

Media

Replace the placeholders with:

  • system architecture diagram
  • elevator/button pressing demo frames
  • multi-floor navigation maps
  • grasp/pick-and-place sequences
Suggested visuals: multi-floor route planning, AR marker detection, and button-press execution snapshots.

Highlight

A full-stack robotics system project demonstrating autonomy in real indoor spaces:

  • navigation reliability across floors
  • precise interaction with environment interfaces (buttons) :contentReference[oaicite:21]{index=21}

References