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Research
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Research
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gawtamcr/README.md

Hi, I'm Gawtam 👋

MSc student in Systems, Control & Robotics at KTH, finishing my thesis at ABB Robotics in June 2026.

I work on generative models for robot control — specifically, using flow matching steered by Signal Temporal Logic to plan long-horizon manipulation. Before that: 3D scene graphs at Ericsson Research, deformable-object manipulation with VLMs at KTH RPL, and behavior-tree-based motion planning at Systemantics.

🔭 Currently: STL-guided flow matching for long-horizon manipulation → targeting a top robotics venue, Aug 2026

🌱 Recent: ROMADO @ IROS 2025 (DOM + VLMs), IMPROVE 2026 (3DSG), ICPR 2026 submission (3DSG)

📫 Reach me: gawtamcr3@gmail.com · LinkedIn

Interests: Robot learning · Generative models for planning · Manipulation · Formal methods for safe AI

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  1. vlm-taxonomy vlm-taxonomy Public

    Taxonomy-guided VLMs for deformable object manipulation (ROMADO @ IROS 2025)

    Python 2

  2. eai2025_project eai2025_project Public

    Forked from homtimon/eai2025_lab2_perception

    3D semantic mapping with OwlV2/SAM/CLIP + VLA deployment for manipulation

    Jupyter Notebook

  3. meanflow-reproducibility meanflow-reproducibility Public

    Forked from joarp/meanflow-reproducibility

    Python

  4. multi_agent_path_planning multi_agent_path_planning Public

    Forked from atb033/multi_agent_path_planning

    Python implementation of a bunch of multi-robot path-planning algorithms.

    Python

  5. probabilistic-deeplearning probabilistic-deeplearning Public

    Jupyter Notebook