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Aurora consists out of 180 compute nodes for SNIC use and over 50 compute nodes funded by research groups at Lund University. Each node has two Intel Xeon E5-2650 v3 processors (Haswell), offering 20 compute cores per node. The nodes have 64 GB of DDR4 ram installed.System informationHostname: aurora.lunarc.lu.seQueueing system: SLURMHome space:/homeNFS mounted, available on all nodesOptional pro
https://www.lunarc.lu.se/systems/aurora - 2026-04-23
COSMOS represent a significant increase in computational capacity and will offer access to modern hardware including GPUs. Through the LUNARC Desktop new and existing users will be able to draw upon the benefits of high performance computing (HPC) while not having to be burdened by the intricacies of HPC utilisation. At the same time, users proficient in HPC usage will still be able to make use of
https://www.lunarc.lu.se/systems/cosmos - 2026-04-23
COSMOS-SENS is a special purpose system, intended for the analysis of sensitive data. The system uses the same hardware and software environment as the general purpose resource COSMOS, though internet access is not possible from COSMOS-SENS. There are extra security provisions when accessing the system.COSMOS-SENS is available to users. Proposals are handled through SUPR, similarly to the genera
https://www.lunarc.lu.se/systems/cosmos-sens - 2026-04-23
Who can get access?LUNARC resources are funded by Lund University and faculties at the University. Anyone employed at the University can get access for research purposes without any extra charge. Members of other organisations, such, as other higher education institutions and companies, can also get access by special agreement, but this may include a fee corresponding to the actual cost of runnin
https://www.lunarc.lu.se/getting-access - 2026-04-23
Information about how to use the LUNARC resources can be found in the LUNARC documentation and there is also additional training material available online. Training courses on different topics are given regularly and they will be advertised here. Documentation (Read the Docs' website)Courses, training and workshopsOnline training materialAvailable software (Read the Docs' website)
https://www.lunarc.lu.se/learning-more - 2026-04-23
If you have any question on the use of the LUNARC resources, please use the support form in SUPR and LUNARC staff will get back to you. If you have multiple issues, please submit a separte form for each issue. Do not bundle multiple issues into a single submission. The support form on the SUPR websiteIt is also possible to contact us via the following channels:Telephone: +46462224454 (9-16)E-mail
https://www.lunarc.lu.se/getting-help - 2026-04-23
LUNARC has two systems for computation (compute clusters): COSMOSCOSMOS-SENS Aurora - decommissioned
https://www.lunarc.lu.se/systems - 2026-04-23
LUNARC is the centre for scientific and technical computing at Lund University. The centre provides resources for computation, visualisation, and storage for research at Lund University within all aspects of computational science. What is High-Performance Computing (HPC)?High-performance computing means using computational resources providing capabilities that are not available in standard off-the
https://www.lunarc.lu.se/about - 2026-04-23
Support Preferred way of contact:The support form on the SUPR websiteTelephone (9-16):+46462224454E-mail: support [at] lunarc [dot] lu [dot] se (support[at]lunarc[dot]lu[dot]se) Management Director: Dr. Jonas LindemannDeputy Director/Technical Director: Tekn Lic. Anders Follin Close System Experts Marcos AcebesMattias BorellAlex ContisNicolas MelotTore Sundqvist Close Application Experts Marcos Ac
https://www.lunarc.lu.se/contact - 2026-04-23
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 - 2026-04-23
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 - 2026-04-23
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https://www.robotics.lth.se/staff - 2026-04-23
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 - 2026-04-23
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 - 2026-04-23
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 - 2026-04-23
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 - 2026-04-23
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 - 2026-04-23
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 - 2026-04-23
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 - 2026-04-23
