Vamsi Kalagaturu
Robotics researcher, SECORO — University of Bremen
I am a PhD student with SECORO at the University of Bremen. I work on modelling complex, contact-rich manipulation tasks for mobile manipulators as geometry and force constraints. The models are graph-structured, so the pieces of a task compose and carry over to new tasks and platforms instead of being rewritten. From those models, the tooling generates correct-by-construction code, validated the same way in simulation and on real hardware.
- Based in
- Bremen, Germany
- Works with
- C++ · C · Python · ROS · RDF/JSON-LD · JavaScript
- Focus
- Robotics manipulation · Integration · Software modelling
Research
- Contact-rich manipulation
- Controllers and skills for tasks where the robot must push, slide, and stay in contact, reasoning about forces rather than positions.
- Composable robot models
- Models that snap together and get reused across tasks and platforms, generating the code for a skill instead of leaving it to be hand-written every time.
- VLMs & VLAs
- Using vision-language and vision-language-action models to generate semantics and models rather than trajectories: the model says what a task means, and the robot's own models work out how to move.
Publications
- 2025
- 2024
- 2023
Tools
- Mujoco KDL Wrapper
- A C++ library bridging MuJoCo physics simulation with KDL for robot kinematics and dynamics. Builds KDL chains straight from the compiled MuJoCo model, handles multi-robot scenes, and ships Python bindings.
Awards
- 2024
- 2023
Experience
-
2024–present
Research Engineer
-
2022–2024
Student Research Assistant
-
2022–2024
Technical Team Member
-
2019–2021
Security Analyst
Education
- 2021–2024
-
2015–2019
B.Tech. Electronics and Communication Engineering
Contact
Collaborations, questions, or a chat about manipulation and control: my inbox is open.
ping[at]vamsi[dot]sh