Knowledge-based Autonomous
Systems Laboratory

The mission of the Knowledge-based Autonomous System Laboratory is to increase the availability, reliability and trust in robots by means of self-awareness and adaptation.

We focus on the high-level control of complex autonomous robots performing in the real world, conducting interdisciplinary research on robot control architectures, systems and software engineering, and knowledge representation and symbolic reasoning.

Expertise

Objective

News and Updates

2024

2023

2022

2021

Talks and Seminars

Robotics Seminar - 2 Needs for Autonomous Robots: Systems Engineering and Self-Awareness

EASE Fall School - Systems Engineering, Self-Adaptation and Robots with a Deep Understanding

• July 2022, University of Alcala de Henares“Introduction to Model-Based Systems Engineering” PhD school, Univ. Alcala de Henares,

Spain, July 2022

Metacontrol: self-adaptive architectures for autonomous robots’ control

• INCOSE Webinar with Prof. Jose Luis Fernandez, online Nov. 2020

“ISE&PPOOA a MBSE Methodology from System to Software Architecture”

• Workshop organized by the TU Delft AgriFood Institute, Delft (online), 2020

• German Rese arch Center for Artificial Intelligence GmbH, Bremen, Germany, March 2019

• Artificial Intelligence Institute, Univ. Bremen, Germany, Feb 2019

• ROS-Industrial Conference, Stuttgart, Germany, 2018

• Workshop “Experimental Robotic Grasping and Manipulation -- Benchmarks, Datasets, and

Competitions” @IROS18, Madrid 2018

• Workshop MORSE 2018 @MODELS18 Conference, Copenhagen, Denmark, 2018

• ROS-Industrial Conference, Stuttgart, Germany, 2017

• International Masterclass Robotics, Delft, The Netherlands, 2017

• ROS-Industrial Conference, Stuttgart, Germany, 2016

• Robot Forum Assembly, Parma, Italy, 2016

• Seminar at Universidad de Zaragoza, Spain, 2015

2019