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Forskningen inom NextG2Com bedrivs i fem tematiska områden och ett samlande tema för demonstratorer, testning och systemintegration. NextG2Com:s sida i Lunds universitets forskningsportal.Länkarna nedan öppnas i Lunds universitets forskningsportal.Tema 1: 6G kommunikation och datorinfrastrukturTema 1 behandlar ett antal forskningsutmaningar kopplade till nästa generations trådlösa kommunikationssy
https://www.nextg2com.lu.se/forskning - 2026-06-01
För frågor om NextG2Com, kontakta: nextg2com [at] aid [dot] lth [dot] se (nextg2com[at]aid[dot]lth[dot]se) FöreståndareMaria Kihlmaria [dot] kihl [at] eit [dot] lth [dot] seMaria Kihls profil i Lunds universitets forskningsportalBiträdande föreståndarePer Runesonper [dot] runeson [at] cs [dot] lth [dot] se (per[dot]runeson[at]cs[dot]lth[dot]se)Per Runesons profil i Lunds universitets forskningspo
https://www.nextg2com.lu.se/kontakt - 2026-06-01
En gemensam process för långsiktig påverkan Arbetet med att ta fram en hållbarhetsplan inom NextG2Com inleddes med en digital kickoff tillsammans med Vinnova och konsultföretaget AFRY. Syftet var att skapa en gemensam förståelse för hållbarhetsfrågornas betydelse inom centrumets verksamhet och att lägga grunden för ett långsiktigt, strukturerat hållbarhetsarbete.Processen har innefattat följande s
https://www.nextg2com.lu.se/hallbarhetsarbete-inom-nextg2com - 2026-06-01
Länkarna på denna sida öppnas i Lunds universitets forskningsportal. Var god vänta...
https://www.nextg2com.lu.se/publikationer - 2026-06-01
10 juni 2026 12:00 till 17:00 | Seminarium The adoption of Artificial Intelligence (AI) and Machine Learning (ML) presents several challenges, among which the lack of trust in the decisions made by such systems remains a major concern. Formal methods have historically provided the foundation for rigorously verifying software systems, and they could play a key role in fostering trust in AI/ML techn
https://www.nextg2com.lu.se/evenemang/machine-learning-and-formal-methods - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
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https://www.robotics.lth.se/staff - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
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 - 2026-06-01
Order-Picking Optimization as a ServiceJohan Oxenstierna (Lund University's research Portal)The project concerns the following optimization problems:The Picker Routing Problem (PRP), which is a Traveling Salesman Problem (TSP) adopted within a warehouse environment.The Order Batching Problem (OBP): How to assign orders and compute picking paths for vehicles (sometimes it is also called the Joint O
https://www.robotics.lth.se/research/ongoing-and-past-research-projects/warehouse-robotics - 2026-06-01
Founded in 2018, the Center for Construction Robotics represents a multi-disciplinary effort with over 15 academic and industrial partners to automate construction using robotics, as a means:to a safer, ergonomic and more equal workplacefor efficient resource utilization; automation in the entire value chain from digital design to maintenanceto support circularity in a sustainable life cycleAn imp
https://www.robotics.lth.se/research/center-construction-robotics - 2026-06-01
Links open in Lund University Publications (LUP).Towards self-reliant robots: skill learning, failure recovery, and real-time adaptation: integrating behavior trees, reinforcement learning, and vision-language models for robust robotic autonomyAuthor: Faseeh AhmadYear: 2025Safety and Reliability for Autonomous Robots in Dynamic EnvironmentsAuthor: Momina RizwanYear: 2025Order Picking Optimization
https://www.robotics.lth.se/research/phd-theses-robotlab-lth - 2026-06-01
