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Robot Control and Learning

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 - 2025-12-29

Robot Safety

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 - 2025-12-29

Robot Vision and Learning

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 - 2025-12-29

Warehouse Robotics

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 - 2025-12-29

Center for Construction Robotics

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 - 2025-12-29

PhD Theses from RobotLab LTH

Links open in Lund University Publications (LUP).Order Picking Optimization as a ServiceAuthor: Johan OxenstiernaYear: 2024:Control Strategies for Physical Human—Robot CollaborationAuthor: Julian Salt DucajuYear: 2024Learning with Skill-based Robot Systems: Combining Planning & Knowledge Representation with Reinforcement LearningAuthor: Matthias MayrYear: 2024Digital Cognitive Companions for Marin

https://www.robotics.lth.se/research/phd-theses-robotlab-lth - 2025-12-29

Education and Degree Projects

Courses The RobotLab LTH offers the following courses. The links below open on the Course website LTH.Fall Term Study period 1Intelligent Autonomous Systems @ Department of Computer ScienceApplied Robotics @ Department of Automatic ControlApplied Robotics for Architects @ Department of Automatic ControlFall Term Study Period 2Project Course in Computer Science with focus on Intelligent Autonomous

https://www.robotics.lth.se/education - 2025-12-29

Research

We are mostly interested in Autonomous and Intelligent Robotic Systems for manufacturing, as developed in the EU projects TAPAS, CARLOS, Stamina and Scalable 4.0, SME Robotics, SaraFun, and others. All of our work is based on robot skills, including the necessary low- and high-level reasoning and sensing. Cartesian Impedance Controller ROSCon 2022 Lightning Talk Skill-based Reinforcement Learning

https://www.robotics.lth.se/research - 2025-12-29

Novelty

The novelty of MARS, and its innovation potential, is rooted in its approach comprising: 1) A solid international consortium, with participants based in 18 countries, involving leading specialists studying migratory processes in non-Western migration hubs, such as the Middle East, Central Asia, Eastern Europe, the Balkans, North Africa, the Gulf States, West and Sub-Saharan Africa, Latin America,

https://www.mars.lu.se/novelty - 2025-12-29

Project rationale

The MARS’s research programme is concerned with exploring such pressing questions as (1) whether empirical evidence and theoretical perspectives obtained from the study of non-Western migration locales actually contribute any generally valid lessons or knowledge that can inform the broader field of migration studies today; (2) or, whether these perspectives are marginal cases that are far too spec

https://www.mars.lu.se/project-rationale - 2025-12-29

About

According to the latest World Migration Report, 12 of the 20 top destinations for international migrants in 2020 were countries not belonging to what are considered traditional (western) migrant-receiving countries in North America, Western Europe, and Australia. International organisations currently estimate that the international stock of migrants amounts to about 282 million people. Nearly half

https://www.mars.lu.se/mars-project/about - 2025-12-29

Aims

Our project aims at increasing the fellows' capacity to produce innovative and original research, at establishing long lasting partnerships among the institutions and research teams involved and creating new networks of contacts among partners from different sectors and world regions that would otherwise have few chances to interact. Knowledge sharing mechanisms are thoroughly interrelated with th

https://www.mars.lu.se/aims - 2025-12-29

Welcome

The latest World Migration Report reveals that, in 2020, 12 of the top 20 destinations for international migrants were non-Western countries. Despite this shift, mainstream literature predominantly concentrates on the experiences and policies of migrants in Western liberal democracies, leading to a noticeable gap in the representation of major non-Western migration destinations in current migratio

https://www.mars.lu.se/mars-project - 2025-12-29

Beneficiaries

Lund University Project coordinator İstanbul Medipol University Beneficiary Vilnius University Beneficiary  Marmara University Beneficiary University of Eastern Finland Beneficiary Leiden University Beneficiary University of Helsinki Beneficiary The Paris Lodron University of Salzburg Beneficiary Society for the Protection of Uzbek Women's Rights (Özbek Kadın Hakları Derneği)

https://www.mars.lu.se/beneficiaries - 2025-12-29

Our Team

LUND UNIVERSITY, SWEDEN Rustamjon Urinboyev, Principal Investigator Rustam Urinboyev is an Associate Professor in the Department of Sociology of Law at Lund University. He is a principal investigator of the EU-funded project “Central Asian Law: Legal Cultures and Business Environments in Central Asia,” which Lund University coordinates. Rustamjon works at the intersection of the sociology of law a

https://www.mars.lu.se/our-team - 2025-12-29

Associated Partners

University of Zurich Partner  Universidad Torcuato Di Tella Partner Kurultai Consulting Partner General Prosecutor's Office of Republic of Uzbekistan Partner American University in Cairo "Migrant Info" LLC Partner  University of Bristol Partner  Nazarbayev University Partner Universitas Gadjah Mada Partner Tashkent State University of Law University of Tsukuba Partner University of Ghana Partner P

https://www.mars.lu.se/associated-partners-0 - 2025-12-29

Books

Edited Volumes, Monographs and Research Reports Heusala, A.-L., Aitamurto, K. and Eraliev, S., 2024. Global Migration and Illiberalismin Russia, Eurasia, and Eastern Europe. Helsinki: Helsinki University Press. DOI:  https://doi.org/10.33134/HUP-26 Eraliev, Sh. (Ed.). (2025). Migration Governance Beyond the West: Historical Legacies, Contemporary Trends, and Future Trajectories. Media-Tryck, Lund

https://www.mars.lu.se/book-chapters/books - 2025-12-29