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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 - 2026-06-21

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 - 2026-06-21

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 - 2026-06-21

PhD Theses from RobotLab LTH

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 - 2026-06-21

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 - 2026-06-21

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 - 2026-06-21

Start

Welcome to the Water Research School The Water Research School was formed to provide research education in water at a high international quality. We offer courses to PhD students and industry. We form a community of PhD students, their supervisors, and collaborators in the water industry in Sweden. We do this through our courses, and in our networking activities and a mentor programme. More about

https://www.waterresearchschool.lu.se/start - 2026-06-21

Course plan

Credits: 3 ECTS (+2 optional ECTS)Grade: Fail/PassEnglish name: Applications of Machine Learning in Water ContextsSwedish name: Tillämpning av maskininlärning i vattensammanhangIntended learning outcomes:Upon completing this course, students should be able to:Explain the basics of machine learning (ML) and its applications.Develop ML-based frameworks for modeling water-related issues.Use Python pr

https://www.waterresearchschool.lu.se/courses/course-overview-2023/applications-machine-learning-water-contexts/course-plan - 2026-06-21

Microplastics

This course is limited to 15 participants, with priority given to doctoral students in the Water Research School and industry participants connected to Swedish Water.Course scheduleCourse planParticipants that are not registered at a University as a Doctoral student can attend the course for a fee of 15 000 SEK (3HP).Course dates22-24 May 2023, in Uppsala Contact person Course led by Uppsala Unive

https://www.waterresearchschool.lu.se/courses/course-overview-2023/microplastics - 2026-06-21

Course schedule

Department of Earth Sciences, Uppsala UniversityCourse Responsible and Examiner: Sahar Dalahmeh-UUImportant datesLast day for registration: 30/4/ 2023Course Introduction: 2/5/2023Course Implementation Part 1: 15/5/2023 (Online) and 22-24/05/2023Course Implementation Part 2: 22-24/05/2023 (Uppsala University; Villavägen 16 Uppsala)ScheduleCourse Introduction (online), 5/02/2023MomentType of momentT

https://www.waterresearchschool.lu.se/courses/microplastics/course-schedule - 2026-06-21

Course plan

Basic course informationCourse credits: 3 HP/ECTSEducation level: Third cycleGrade: Fail/PassSwedish name: Analys av mikroplast i vatten-, avlopps- och slammatriserEntry requirements: This course is open for PhD students and for participants from the water sector.  Practical experience on working in laboratories for water and wastewater analyses will be considered for admission of students.  Exper

https://www.waterresearchschool.lu.se/courses/microplastics/course-plan - 2026-06-21

Drinking Water

Drinking water is the only food that is delivered to all of our houses and workplaces, on demand, 24 hours per day. This drinking water is produced from either groundwater or surface/lake water through a number of different processes. The focus in this course will be on understanding surface water processes since surface water normally requires more treatment. This water is then distributed and mu

https://www.waterresearchschool.lu.se/courses/course-overview-2023/drinking-water - 2026-06-21

Course schedule

(updated June 30, 2023)Course introductionOctober 23, 2023Time Activity Location 10:00-16:00 Course Introduction (Thomas Petterson, Olof Bergstedt, Catherine Paul) Online (Zoom link will be provided later) First in-person session: GothenburgNovember 8, 2023 Time Activity Location 10:00-12:00  Chalmers12:00-13:00LunchChalmers13:00-15:00  Chalmers15:00-15:15 Afternoon break Chalmers15:00-17:00  Chal

https://www.waterresearchschool.lu.se/courses/course-overview-2023/drinking-water/course-schedule - 2026-06-21

Course plan

Basic course information Course credits: 3 hpEducation level: Third cycle Grade: Fail/Pass; U/G Subject: Drinking Water Swedish name: Dricksvatten Entry requirements: This course is open for PhD students and interested practioners from the water industry Course examiner: Thomas Pettersson (Chalmers) Course aimsAt the end of the course you should be able to: Understand the importance, usefulness an

https://www.waterresearchschool.lu.se/courses/course-overview-2023/drinking-water/course-plan - 2026-06-21

Data Analysis in Python and R

Learn how to efficiently analyze your data, using scientific tools available in the R and Python programming languages. You can select among four modules to learn and implement the tools which are most useful to you. For detailed descriptions of the modules see the course plans and course schedule.R is a language and environment for statistical computing and graphics, which contains many useful to

https://www.waterresearchschool.lu.se/courses/course-overview-2023/data-analysis-python-and-r - 2026-06-21