iBOTone® Collaborative Welding Robot
Short Summary
The iBOTone® Collaborative Welding Robot is a collaborative robotic system designed to support experimentation, validation, and deployment of automated welding processes while maintaining human supervision and control. It enables intuitive programming through manual guidance, allowing users with limited experience to perform welding tasks after minimal training. The system achieves repeatability of ±0.02 mm and operates reliably in industrial environments due to its IP66 protection level. Designed as an integrated, CEcertified robotic cell (ABICELL®), it supports consistent welding quality and simplified system setup. The TestBed provides a controlled and accessible environment for training, process validation, and Proof-of-Concept activities in robotic welding and automation. It supports DeepTech applications in digital manufacturing and aligns with Industry 5.0 principles by enabling safe and supervised human–robot collaboration.

Domain
DeepTech Area(s)
Robotics
Application Domain
Manufacturing
Hosting Institution and Principal Investigator Information
- Name of host organization
- ABICOR BINZEL Varilna tehnika d.o.o.
- Name of building
- Pomurje Technology Park
- Physical Address
- Plese 9 A, 9000 Murska Sobota
- Website Links
- https://binzel-abicor.com/SI/slv/
- Institutional contact name
- Goran Rajnar
- Institutional contact email
- info@binzel-abicor.si
- Principal Investigator name
- Goran Rajnar
- Position / Institutional role
- Director
For access through CITADELS project please contact Pomurje Technology Park at info@p-tech.si or marko@p-tech.si
- Funding source(s) for TestBed's acquisition
- ABICOR BINZEL Varilna Tehnika d.o.o.
Technical Description
Hardware
- iBOTone® Collaborative Welding Robot: 6-axis collaborative robot designed for automated welding with high precision (±0.02 mm repeatability) and intuitive operation.
- Teaching handle: Enables manual guidance and intuitive programming of welding paths, supporting use by non-expert operators.
- Welding torch: Integrated smart welding torch for controlled and consistent welding operations.
- Power source: Welding power source up to 500 A, supporting a range of welding applications and materials.
- Control cabinet: Integrated system for robot control, process management, and parameter configuration.
- ABICELL® enclosure: CEcertified robotic cell ensuring safe operation and human–robot collaboration.
- Robot design: IP66-rated system suitable for operation in demanding industrial environments.
- Material compatibility: Suitable for welding steel, stainless steel,
and aluminium parts in small and large production series.
Software
- Integrated robot control software: Supports programming, operation, and monitoring of welding processes through an intuitive user interface.
Standards that apply
- The system is designed in accordance with applicable safety standards for collaborative robotic systems, including ISO 10218-1 and ISO/TS 15066, as well as the EU Machinery Directive 2006/42/EC and CE-certified ABICELL® enclosure requirements. In addition, operation complies with relevant occupational health and safety regulations for welding processes and human–robot interaction, ensuring safe and reliable operation in industrial environments.
Application Cases
- Collaborative robot training and operation - Hands-on training in collaborative robot use, including intuitive programming through manual guidance and safe human–robot interaction.
- Proof-of-Concept demonstrations - Validation of robotic welding processes and evaluation of automation feasibility in controlled environments.
- Process optimisation studies - Experimental testing and optimisation of welding parameters, including analysis of welding performance
and repeatability. - Small-batch and custom production - Application of robotic welding in flexible manufacturing scenarios, including small-series production and custom parts.
- Educational and academic use - Use of the TestBed in student projects focused on collaborative robotics, human–robot interaction, and digital manufacturing.
Potential Stakeholders
Non-academic stakeholders
Industrial partners
SMEs
Startups
Academic stakeholders
Undergraduate students
MSc students
PhD students
Researchers
Exploitation Scenarios
- Internal academic research
- No
- Collaborative research with external academic partners
- Yes
- Contract research / Proof-of-Concept for industry
- Yes
- Pilot / DeepTech Deployment in operational environment
- Yes
- Training services (courses, workshops, certification)
- Yes
- Service provision (testing, benchmarking, validation)
- Yes
- Open access for walk-in users (e.g. open days / hackathons)
- No

