Ashwin Nedungadi

PhD researcher in Computer Science · Institute for Visual & Analytic Computing, University of Rostock · Rostock, Germany

Ashwin Nedungadi

I work at the intersection of egocentric perception and robotics, on problems where perception models sharpen autonomy and real-world decision-making in robots. Within CORE Labs I lead the robotics effort, focusing on multimodal LLMs and spatial perception — getting machines to build usable spatial understanding from what they see.

My research interests span visual intelligence, temporal graphs, neuromorphic systems, embodied AI, and mixed reality. Before Rostock I trained as a roboticist across Prague, Dortmund, and Rome, working on everything from UAV grasping mechanisms and LiDAR-based SLAM to monocular depth estimation and 3D reconstruction — a hardware-to-perception range that still shapes how I think about embodied systems.

Now
PhD, Computer Science — University of RostockRobotics lead, CORE Labs · Institute for Visual & Analytic Computing
M.Sc.
Robotics — TU Dortmund, 2025 GPA 1.9Thesis at Fraunhofer IML with the DB Schenker Enterprise Lab · exchange semester in AI & Robotics at Sapienza, Rome
B.Sc.
Electrical Engineering & Computer Science — CTU Prague, 2020 GPA 1.6Thesis with the Multi-Robot Systems group (Dr. Martin Saska)
Skills
LanguagesPython · C++ · C · Rust · MATLAB
Robotics & PerceptionROS2 · MoveIt! · NVIDIA Isaac Sim · SLAM · 3D Reconstruction · Monocular Depth · PCL
ML & FrameworksPyTorch · Hugging Face Transformers · Detectron2 · OpenCV · Open3D · scikit-learn
ToolsDocker · Git · CI/CD · Linux · Pinecone · MongoDB

Research

SEPIA Spatial Egocentric Perception for Interactive Agentsactive

A perception stack that lets interactive agents build and query spatial memory from first-person video — grounding what an agent sees into where it can act.

Show2Instruct Learning manipulation from demonstrationactive

Turning human demonstrations into executable robot instructions, bridging egocentric observation and language-conditioned control.

Dynamo CORE Labsactive

Dynamic scene understanding for autonomy, developed within CORE Labs — reasoning about motion and change in unstructured environments.

PRiSM Perception, reasoning & spatial modellingexploratory

Early-stage work connecting multimodal reasoning to explicit spatial models for robot decision-making.

Explore past projects & engineering work →

Publications

  1. 2026

    MCP4IFC: IFC-based Building Design using Large Language Models

    B. K. Nithyanantham, T. Sesterhenn, A. Nedungadi, S. Peral Garijo, J. Zenkner, C. Bartelt, S. Lüdtke

    EC3 — European Conference on Computing in Construction, Corfu, Greece accepted

  2. 2025

    Monocular Depth Estimation for Efficient Volume Reconstruction in Logistics

    A. Nedungadi, C. Rest, J. Stenzel

    Manuscript in preparation in prep

  3. 2023

    3D Models of the Martian Surface in Virtual Reality

    A. Nedungadi, C. Wöhler, et al.

    AAS / Division for Planetary Sciences Meeting Abstracts, 55, 212.04 conference

  4. 2022

    DoPose: Dataset for Object Segmentation and 6D Pose Estimation

    A. Gouda, A. Nedungadi, et al.

    Zenodo · DOI 10.5281/zenodo.6103779 dataset

  5. 2020

    Design of an Active-Reliable Grasping Mechanism for Autonomous Unmanned Aerial Vehicles

    A. S. Nedungadi, M. Saska

    Modelling and Simulation for Autonomous Systems (MESAS), Springer LNCS, pp. 162–179 conference

Full list on Google Scholar →

Awards & Recognition

Recent News

Browse past projects →

Writing

Jan 15, 2026 · meta, perception

A new home for the lab notebook

Why I moved off Google Sites, and how the blog works — push a markdown file, get a post.

Read the blog →

Beyond research

Outside the lab I'm happiest outdoors — backpacking, camping, and in the ocean as a hobby surfer and PADI open-water diver. I shoot film photography and paint — including two submissions to the CVPR Art Gallery — play poker, cook, and read science fiction.

Camping at sunset
Camp at golden hour
Open-water dive
Open-water, off the boat

See paintings & AI art →

Contact

Happy to talk about egocentric perception, robotics, or collaborations — email is the surest way to reach me.