Search results

Vetenskapliga journalartiklar The Role of Trans-Disciplinary Research in Sustainable RenovationMjörnell, K.2020Journal: Journal of Management and Sustainability, Volym 10.A multi-criteria decision support method towards selecting feasible and sustainable housing renovation strategiesSerrano-Jimenez, A., Femenías, P., Thuvander, L., Barrios-Padura, À.2020Journal: Journal of Cleaner Production, Voly

https://www.renoveringscentrum.lth.se/projekt/siren/ovriga-publikationer - 2025-11-19

Social hållbarhet med fokus på bostadsrenovering – en antologiRedaktörer:Hans Lind, KTHKristina Mjörnell, SP och LTHAntologi om social hållbarhet med fokus på bostadsrenovering (PDF, 6.6 MB, ny flik) Hållbar renovering ur ett helhetsperspektiv – en antologi från forskningsmiljönRedaktörer:Stefan Olander, LTHKristina Mjörnell, LTH och RISEPaula Femenías, ChalmersElisabeth Helsing, RISEPetter Wallen

https://www.renoveringscentrum.lth.se/projekt/siren/siren-antologier - 2025-11-19

Pågående projektASSUREAvslutade projektICHBSIRenArvet efter Byggforskningsrådet

https://www.renoveringscentrum.lth.se/projekt - 2025-11-19

Den praktiknära forskarskolan ASSURE - Adaptation of urban Space through SUstainable REgeneration - kommer att utveckla nya kunskap om hållbar renovering och omställning av byggnader, kvarter och stadsdelar. LTH/Lunds universitet har tillsammans med RISE, Malmö universitet och Uppsala universitet/Campus Gotland beviljats medel för att driva den praktiknära forskarskolan ASSURE - Adaptation of urba

https://www.renoveringscentrum.lth.se/projekt/assure-hallbar-renovering-och-omvandling-av-stader - 2025-11-19

Under 2016–2020 initierades och startades tillsammans med Svensk Byggtjänst regeringssatsningen som kom att kallas Informationscentrum för hållbar bebyggelse (ICHB). Vi såg ett stort behov av tvärvetenskaplig information till en bredare massa i samhället och drev under flera år frågan om regeringsstöd till information om renovering, speciellt för att bidra till att uppnå energimålen. Regeringsstöd

https://www.renoveringscentrum.lth.se/projekt/ichb-informationscentrum-hallbar-bebyggelse - 2025-11-19

Nationell stark transdisciplinär forskningsmiljö för helhetssyn på hållbar renoveringFormas finansierar en Nationell stark transdisciplinär forskningsmiljö för helhetssyn på hållbar renovering som är kopplat till Nationellt Renoveringscentrum i Lund. Den starka forskningsmiljön bygger på inter- och tvärvetenskaplig samverkan mellan forskare på högskola och institut, aktörer och användare inom bygg

https://www.renoveringscentrum.lth.se/projekt/siren - 2025-11-19

BakgrundNationellt renoveringscentrum beviljades finansiering 2016 av Energimyndigheten för att digitalisera alla rapporter i Byggforskningsrådets (BFR) R-serie. R-serien innehåller en unik kunskapssamling över svensk teknikutveckling med en mängd energirelevanta projektresultat inom byggforskningsområdet. I samband med generationsskiften hos myndigheter, forskningsinstitutioner, konsulter med fle

https://www.renoveringscentrum.lth.se/projekt/arvet-efter-byggforskningsradet-skanning-av-r-serien - 2025-11-19

 Please wait...

https://www.renoveringscentrum.lth.se/kontakt - 2025-11-19

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 - 2025-11-19

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 - 2025-11-19

 Please wait...  Please wait...  Please wait...  Please wait...  Please wait...

https://www.robotics.lth.se/staff - 2025-11-19

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 - 2025-11-19

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 - 2025-11-19

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 - 2025-11-19

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 - 2025-11-19

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 - 2025-11-19

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 - 2025-11-19

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 - 2025-11-19

Development and Evaluation of Domain-Specific Languages for Correct and Safe Robot BehaviorMomina Rizwan (Lund University's Research Portal)Robot software is a complex integration of large engineering systems, like planning, sensing, and actuation modules. The engineering integrity and functional safety of such a system are very important because the stakes are incredibly high. The decisions these

https://www.robotics.lth.se/research/ongoing-and-past-research-projects/robot-safety - 2025-11-19

Autonomous Learning: Machine learning with synthetic data and goal-conditioned explorationHampus Åström (Lund University's Research Portal)My work explores learning with no or minimal use of neither labeled data nor handcrafted task specific reward functions. I have worked on pose estimation using synthetic data, and now I am investigating how to guide goal-conditioned reinforcement learning with

https://www.robotics.lth.se/research/ongoing-and-past-research-projects/robot-vision-and-learning - 2025-11-19