Maja Trumić

Delft University of Technology - m.trumic@tudelft.nl

I am an MSCA Postdoctoral fellow at TU Delft with a deep interest in understanding the best way to make things move. I particularly enjoy working on nonlinear control and applying it to soft robots, which is what my MSCA project Soft-Scout is all about.


News

Updates about my research activities.


Research

Soft-Scout: Controlling Soft Robots in Confined Spaces

Soft-Scout project logo

Soft-Scout focuses on controlling soft robots for advanced adaptivity and versatility in confined spaces, enabling safer and more precise inspection and maintenance in demanding environments.

Project overview

Access to confined spaces is highly crucial, whether for repairing hard-to-reach aircraft engine parts, performing minimally invasive surgeries, or inspecting infrastructure after severe weather events.

The Soft-Scout project (Controlling Soft Robots for Advanced Adaptivity and Versatility in Confined Spaces) addresses these challenges by enabling a soft-bodied robot to autonomously navigate and accurately conduct tasks within confined areas. This leads to reduced human effort and improved quality of inspection and maintenance.

To address the complexity of soft robotic systems, the overarching objective of Soft-Scout is to develop and deploy control and learning frameworks that provide guarantees on precision and reliability, while equipping the robot with the autonomy and robustness needed to navigate unknown confined areas.

Soft-Scout proposed framework diagram
Concept of Soft-Scout.

Objectives

Objective 1

Develop an advanced shape control framework that enables a soft robot to perform various tasks in confined spaces with guaranteed precision.

Objective 2

Design a twofold learning strategy for autonomous navigation and robustness, allowing the robot to cope with uncertainties in real-world environments.

Objective 3

Experimentally validate the control and learning framework on a tentacle-shaped soft robot and integrate feedback from end users.

Soft-Scout three use cases
Potential use cases of Soft-Scout solutions: maintenance and inspection of aircraft engine, minimally invasive surgery, or infrastructure inspection.

Impact and alignment

Compared to state-of-the-art rigid solutions, the elasticity of a soft robot’s body enables inherently safer navigation through confined areas, while the proposed framework supports robust and dexterous operation with clear precision and reliability margins.

Soft-Scout is aligned with the United Nations Sustainable Development Goals and European priorities, including the European Strategic Agenda and the Horizon Europe Missions, by addressing safer inspection, maintenance, and intervention in critical infrastructures and industrial systems.

Project facts

  • Project: Soft-Scout
  • Role: MSCA Postdoctoral Fellow
  • Researcher: Maja Trumić
  • Supervisor: Dr. Cosimo Della Santina
  • Host: Delft University of Technology
  • Location: Delft, The Netherlands
  • Funding: Marie Skłodowska-Curie Postdoctoral Fellowship

Funding

MSCA logo

Keywords

Soft robotics, continuum robots, adaptive control, reinforcement learning, confined spaces, inspection and maintenance.


Experience

MSCA Postdoctoral Fellow

Delft University of Technology

Research on soft robot control within the MSCA PF project Soft-Scout.

November 2025 - now

Research Associate

University of Belgrade - ETF Robotics

Conducting research on soft robotics and dynamic manipulation. Serving as a technical coordinator for the Horizon Europe project MUSAE. Task leader for the national project CircuBot.

September 2021 - October 2025

Visiting researcher

TU Delft and RoboHouse

Developing the control strategy for trajectory tracking for soft robots.

January 2023 - March 2023

Ph.D. student

University of Palermo - MIRPA Lab

Developing the algorithms for low-cost stiffness estimation and nonlinear adaptive control for soft robots.

November 2017 - September 2021

M.Sc. student intern

Robert Bosch GmbH in Buehl, Germany

Developing and testing wavelet-based algorithms for faults detection in DC motors.

April 2017 - October 2017

Bachelor student intern

Robert Bosch GmbH in Renningen, Germany

Analyzing the test systems for DC motors.

June 2016 - September 2016

Education

University of Palermo and University of Belgrade

Ph.D. in Robotics and Automation
My Ph.D. thesis ''Stiffness estimation and adaptive control for soft robots'' focused on enabling the effective performance of soft robots even in cases when knowledge about the robot’s parameters and environment is lacking. I worked on developing low-cost solutions for sensing robot’s stiffness and on the adaptive control theory, especially investigating novel algorithms that achieve simultaneous control of robot's position and compliance. I worked under the national-funded research project ForNextCobot regarding bioinspired robot control, obtaining several journal and conference papers.
November 2017 - September 2021

University of Belgrade - School of Electrical Engineering

M.Sc.

Signals and systems department with the main focus on system control and signal processing.

October 2016 - September 2017

University of Belgrade - School of Electrical Engineering

B.Sc.

Signals and systems department.

October 2012 - June 2016

Publications