The First WARA Robotics Mobile Manipulation Challenge - Lessons LearnedPolitecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy.
Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy.
Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy.
Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy.
Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy.
Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy.
Division of Robotics, Perception and Learning, Royal Institute of Technology, Stockholm, Sweden.
Division of Robotics, Perception and Learning, Royal Institute of Technology, Stockholm, Sweden.
Division of Robotics, Perception and Learning, Royal Institute of Technology, Stockholm, Sweden.
Division of Robotics, Perception and Learning, Royal Institute of Technology, Stockholm, Sweden.
Division of Robotics, Perception and Learning, Royal Institute of Technology, Stockholm, Sweden.
Division of Robotics, Perception and Learning, Royal Institute of Technology, Stockholm, Sweden.
Lund Technical University, Lund, Sweden.
Lund Technical University, Lund, Sweden.
Lund Technical University, Lund, Sweden.
Lund Technical University, Lund, Sweden; University of Basilicata, Italy.
Pharmaceutical Technology & Development, R&D, AstraZeneca, Gothenburg, Sweden.
Pharmaceutical Technology & Development, R&D, AstraZeneca, Gothenburg, Sweden.
ABB Corporate Research, Västerås, Sweden.
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2025 (English)In: 2025 European Conference on Mobile Robots (ECMR) / [ed] Antonios Gasteratos; Nicola Bellotto; Stefano Tortora, IEEE, 2025Conference paper, Published paper (Refereed)
Abstract [en]
The first WARA Robotics Mobile Manipulation Challenge, held in December 2024 at ABB Corporate Research in Västerås, Sweden, addressed the automation of task-intensive and repetitive manual labor in laboratory environments -- specifically the transport and cleaning of glassware. Designed in collaboration with AstraZeneca, the challenge invited academic teams to develop autonomous robotic systems capable of navigating human-populated lab spaces and performing complex manipulation tasks, such as loading items into industrial dishwashers. This paper presents an overview of the challenge setup, its industrial motivation, and the four distinct approaches proposed by the participating teams. We summarize lessons learned from this edition and propose improvements in design to enable a more effective second iteration to take place in 2025. The initiative bridges an important gap in effective academia-industry collaboration within the domain of autonomous mobile manipulation systems by promoting the development and deployment of
Place, publisher, year, edition, pages
IEEE, 2025.
Series
European Conference on Mobile Robots Conference Proceedings, ISSN 2639-7919, E-ISSN 2767-8733
Keywords [en]
Automation, Service robots, Navigation, Mobile robots, Mobile Manipulation, Lab Automation
National Category
Artificial Intelligence Robotics and automation
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-125114DOI: 10.1109/ECMR65884.2025.11163319ISBN: 9798331527051 (electronic)ISBN: 9798331527044 (electronic)ISBN: 9798331527068 (print)OAI: oai:DiVA.org:oru-125114DiVA, id: diva2:2017030
Conference
European Conference on Mobile Robots (ECMR 2025), Padua, Italy, September 2-5, 2025
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)2025-11-272025-11-272025-11-28Bibliographically approved