Research directions

Research

Perception, representation and learning for robots that operate in the real world.

01

Active & semantic SLAM

Building meaningful representations of the world for autonomous robots. My research spans probabilistic semantic mapping, visual SLAM under challenging conditions, and active exploration with UAVs.

SLAMSemantic mapping
Related publications
02

Robot learning & interaction

Learning robot behavior from observations, demonstrations and interaction. I investigate imitation learning, reinforcement learning and the use of vision-language models for robotic manipulation and human–robot interaction.

Robot learningHuman–robot interactionReinforcement learning
Related publications
04

Robot vision & industrial perception

Turning visual observations into useful information for robotics and inspection. Applications include monocular 3D object localization and super-resolution methods for detecting tiny defects on printed circuit boards.

Computer visionCalibrationDefect detection
Related publications

Research projects

2022–present

Semantic Active SLAM

Semantic-aware mapping and active exploration for UAVs, with research on robust visual SLAM, data association and Gaussian splatting.

Python / C++ · ROS · UAVs

2020–2024

Delibot — Humanoid Robotics

Design and fabrication of a dual-arm service robot, visual 3D localization from 2D estimates and obstacle avoidance using multisensor fusion.

C++ / Python · ROS · MoveIt / Gazebo

2024–present

Humanoid Robot Interaction & Social Navigation

Multi-robot collaboration, humanoid perception and interaction using vision-language and large language models, with navigation in crowded environments.

Python / C++ · ROS / ROS2

Connected research interests

I am also interested in lifelong SLAM, robot dynamics learning, model-based reinforcement learning and learning from demonstration. Modeling uncertainty in map representations and robot dynamics is central to my interests in safe, active planning and control.

Research resources

Explore the papers, implementations and demonstrations behind these research directions.

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