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My research & interest map — robotics for architecture, computational design, robotic fabrication, AI agents and computer vision

Libish Murugesan

Researcher in robotics for architecture. Based in Riyadh. Master's in Robotics and Advanced Construction.

I work at the intersection of computational design, robotic fabrication, and graph-based spatial reasoning. My primary hardware stack is a UR10e with an RG6 gripper. My primary software stack is ROS2 + Grasshopper, connected via WebSocket middleware. Most recently I've been wiring LLM agents (Claude / MCP / Claude skills) into these design-and-fabrication workflows.


Current Projects

Repo What it does Status
robot_webapp Grasshopper → WebSocket → ROS2 bridge for UR10e WIP
UR-10e_RG6_stacking_ROS2_wsl_gh UR10e + RG6 stacking via ROS2 (WSL) driven from Grasshopper Active
Agent-orchestration Workflow augmentation with online/offline AI agents Active
computational-design-skill Claude.ai user skill for computational design in AEC Active
3DCP_research Interactive knowledge graph for 3D concrete printing research Live
Depth_Anything_3_Motifs Monocular depth → 3D motif reconstruction for fabrication Active
Semi_automatic_ICP_open3D ICP registration of photogrammetric meshes and point clouds Stable
Topologic_Studio Topologic-based spatial graphs with IFC loading WIP
Digital_pointing_machine Digital pointing machine for stone-carving fabrication WIP
aggregation Rule-based stochastic aggregation, browser-native Live

Technical Focus

  • Robotic fabrication: UR10e, ur_rtde, ROS2, MoveIt2, COMPAS FAB
  • Computational design: Grasshopper, Rhino, parametric geometry, NURBS
  • Computer vision: Depth Anything, Open3D, ICP, photogrammetry, point clouds
  • AI agents: Claude / Claude Code, MCP servers & skills, LLM-driven design tooling, RAG
  • Spatial graphs: GraphML/GML, Topologic, IFC
  • Physical fabrication: 3D printing (incl. 3DCP), laser cutting, carbon fiber, heritage stone craft

Teaching

I teach computational design and robotic fabrication workflows using Grasshopper as the primary environment. Current ROS2 and AI-agent integration work feeds directly into the teaching pipeline.


Links

Portfolio · LinkedIn · Instagram

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