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The Sentio Board governs the mutual interest of the partners and decides on the overall strategic direction, as well as yearly objectives. The Board also oversees reporting to Vinnova. Members:Camilla Dahlin, IUC Syd – Industriellt utvecklingscentrumGert Persson, RISE Research Institutes of SwedenJenny Rehn Velut, Alfa Laval Technologies AB Heiner Linke, Faculty of Engineering, Lund UniversityMart
https://www.sentio.lu.se/about/centre-board - 2026-04-21
In order for us to fulfill this obligation of sharing knowledge, informing about our activities and interacting with research partners and other stakeholders, we sometimes need to collect and process personal data. For personal data collected on web pages at the address: www.sentio.lu.se and for public arrangements undertaken within Sentio, the following principles are applied.The activities of Se
https://www.sentio.lu.se/integrity-policy - 2026-04-21
The members of the Advisory Board are distinguished researchers and experts in areas of relevance to Sentio. They will visit the environment about once a year and give advice on strategic research directions, but also on matters such as the organization of our centre and how to bring new knowledge to students and companies. Members: Annika Borgenstam, Professor, KTH, SwedenHelmi Attia, Research Of
https://www.sentio.lu.se/about/advisory-board - 2026-04-21
Master’s degree projects (“exjobb” in Swedish) within Sentio at Lund University offer students the opportunity to apply their knowledge to real-world challenges in sustainable manufacturing and sensor technologies. Each project corresponds to 20 weeks of full-time study (30 credits) and is carried out in collaboration with a university department and, in many cases, industry partners. If you are a
https://www.sentio.lu.se/education-and-training/masters-degree-projects-20-weeks - 2026-04-21
This website is run by Lund University. We want as many people as possible to be able to use this website, and here we describe how sentio.lu.se complies with the accessibility regulations, any known accessibility issues, and how you can report problems so that we can fix them. How accessible is this website?We know some parts of this website are not fully accessible. See the sections on non-acces
https://www.sentio.lu.se/accessibility-report - 2026-04-21
Project courses within Sentio at Lund University offer students the opportunity to engage in a focused challenge related to sensor technologies and sustainable manufacturing over a shorter time span, typically 3–7 weeks. These projects are smaller in both timeframe and scope than full Master’s thesis projects, but still count as formal academic courses with defined learning outcomes, supervision,
https://www.sentio.lu.se/education-and-training/project-courses-3-7-weeks - 2026-04-21
The Faculty of Engineering (LTH) at Lund University offers a free-standing course in Smart Manufacturing that has been developed with professionals in mind. The course is given every spring as distance studies, at part-time (25% of full time) and in English. Smart ManufacturingThis course is for those who want to learn the fundamental and most important aspects of AI implementation in manufacturin
https://www.sentio.lu.se/education-and-training/education-professionals - 2026-04-21
The Sentio PhD course "Sensors for Sustainable Production" started in August 2025 and will run until March 2026. The aim is to equip our PhD students with a comprehensive understanding of sensor technologies and their integration into sustainable manufacturing systems. The course focuses on sensor applications, signal types, limitations, and material selection, as well as life cycle perspectives.
https://www.sentio.lu.se/education-and-training/phd-course-sensors-sustainable-production - 2026-04-21
Here we present ongoing and completed projects within Sentio. Classification of brake discs Master's project with LTHSupervisors: Maria Sandsten, Mathematical Statistics, and Oleksandr Gutnichenko, Production and Materials Engineering. Author: Emil SvalforsDescription: Accurate classification of time-varying and non-stationary time-series signals is a central problem in many scientific and enginee
https://www.sentio.lu.se/education-and-training/ongoing-and-completed-student-projects - 2026-04-21
Here you find available projects announced by both Sentio partners and projects at Lund University departments. Sorry but we do not have any projects open at the moment, but we are always welcome to discuss ideas for new projects or collaborations.Please reach out to Filip Lenrick who will guide you. Contact Filip Lenrick to talk about education.
https://www.sentio.lu.se/education-and-training/available-thesis-projects-0 - 2026-04-21
Welcome to the RobotLab LTH Robotics is a multi-disciplinary topic and we collaborate with both national and international robotics colleagues regarding different aspects of robotics. We also have a close cooperation with industrial partners. More about RobotLab LTH Education and Degree Projects Degree Projects / Master's Theses YouTube Follow Robotics Lund University on YouTube RobotWiki For docu
https://www.robotics.lth.se/start - 2026-04-21
Meet the RobotsSPOT RobotHeron RobotDual-Arm KUKA RobotABB Frida and YuMi RobotsABB IRB RobotsBettan Mobile Construction RobotL3 Parallel-Kinematic ManipulatorFranka Emika Panda RobotSleipner Mobile Robot SPOT RobotSpot is Boston Dynamic’s first commercially available robot. It is a quadruped robot with its own sensor package for local navigation and obstacle avoidance. The robot is designed to en
https://www.robotics.lth.se/infrastructure - 2026-04-21
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https://www.robotics.lth.se/staff - 2026-04-21
Visiting addressLund UniversityLTH, Faculty of EngineeringRobotLabOle Römers väg 1SE-223 63 Lund, SwedenPostal addressLund UniversityLTH, Faculty of EngineeringRobotLabBox 118SE-221 00 Lund, Sweden Contact persons Volker Krueger volker.krueger.cs.lth.se+46722351548 Yiannis Karayiannidis yiannis [dot] karayiannidis [at] control [dot] lth [dot] se (yiannis[dot]karayiannidis[at]control[dot]lth[dot]se
https://www.robotics.lth.se/contact - 2026-04-21
At the Department of Computer Sciences Links will open on the website of the Division of Robotics and Semantic SystemsComputer visionKnowledge RepresentationHuman Robot Interaction at Computer ScienceRobot skillsSoftware At the Department of Automatic Control Link will open on the Department's websiteRobot Motion Planning and ControlPhysical Human Robot InteractionRobot Interaction ControlRobot Gr
https://www.robotics.lth.se/research/research-areas - 2026-04-21
We aim at integrating control theory with machine learning to enable intelligent robotic behavior in uncertain and dynamic environments. Collectively, this research advances adaptive, explainable, and capable robotic systems by uniting learning and control. Research on this direction include:Neuro-adaptive robot control.Modeling physical system and processes with machine learning tools. Examples:
https://www.robotics.lth.se/research/research-areas/robot-learning - 2026-04-21
Ongoing PhD ThesesHuman Robot InteractionRobot Control and LearningRobot SafetyRobot Vision and LearningWarehouse Robotics Projects Overview of projects the RobotLab is involved in (Lund University's Research Portal).
https://www.robotics.lth.se/research/ongoing-and-past-research-projects - 2026-04-21
Mixed Initiative Interaction in Human-Robot CollaborationAyesha Jena (Lund University's Research Portal)With Industry 5.0, it will become common to see robots actively collaborating with humans withinworkspaces. The challenge is to develop robots operating in shared spaces within unstructuredenvironments. A promising approach to optimizing the operational performance of Human-RobotInteraction (HRI
https://www.robotics.lth.se/research/ongoing-and-past-research-projects/human-robot-interaction - 2026-04-21
Robotics is a multi-disciplinary topic and we collaborate with both national and international robotics colleagues regarding different aspects of robotics. We also have a close cooperation with industrial partners. The RobotLab LTH is co-owned by the Departments of Automatic Control and Computer Science and covers industrial robots with open control system architectures, autonomous mobile manipula
https://www.robotics.lth.se/about - 2026-04-21
Towards the better understanding of Behavior Trees and Motion Generators (BTMG) for Robot BehaviorsFaseeh Ahmad (Lund University's Research Portal)The aim of this thesis is to evaluate the effectiveness of using Behavior Trees and Motion Generators (BTMG) policy representation for developing robotic skills to solve diverse tasks.Our current approach involves utilizing SkiROS, a skill-based system,
https://www.robotics.lth.se/research/ongoing-and-past-research-projects/robot-control-and-learning - 2026-04-21
