When: October 7, 16:00–18:00
Where: Oceanen, Infotiv HQ, Västra Hamngatan 8, Gothenburg
Agenda:
- 16:00–16:15 Coffee & Mingle
- 16:15–17:00 Dr. Domenico Spensieri
- 17:00–17:15 Coffee Break
- 17:15–18:00 Dr. Hamid Ebadi
- 18:00 After Work with food and drinks
Talk 1
Planning the Factory of the Future: Modeling, Simulation, and Optimization in Action Dr. Domenico Spensieri
Description: Modern production systems involve a mix of automated and manual activities. Robots may handle tasks such as welding, while humans remain essential for more complex or delicate operations, like assembling wire harnesses. Planning these activities efficiently is challenging, especially when many robots and people must work together. In this talk, I will show how modeling, simulation, and optimization can be used to plan robot motions, support human–robot collaboration, and even study ergonomics in manual work. I will also discuss applications in inspection and quality assurance, illustrating how these methods contribute to safer, more efficient, and more reliable production across industries.
Bio: Dr. Domenico Spensieri holds an M.S. in Computer Engineering with a specialization in Robotics and Control from the University of Pisa, Italy, and a Ph.D. in Product and Production Development from Chalmers University of Technology, Gothenburg, Sweden. Since 2004, he has worked as an applied researcher in the Department of Geometry and Motion Planning at the Fraunhofer-Chalmers Centre for Industrial Mathematics, Gothenburg. His research interests include robotics, multi-agent optimization, and planning for assembly and inspection applications.
Talk 2
Infotiv’s Research Projects and How You Can Be Part of Them Dr. Hamid Ebadi
Description: At Infotiv Research, two of our flagship projects—SIMLAN and Humanoid Mocap—
create exciting opportunities for researchers, developers, and industry partners to collaborate on next-generation simulation platforms and AI/ML technologies.
SIMLAN is an open-source environment for testing and training multi-camera localization and navigation in industrial settings, inspired by Volvo’s Generic Photogrammetry-based Sensor System (GPSS). It enables scalable, reproducible, and cost-efficient prototyping of machine learning-based algorithms for autonomous transport robots.
The Humanoid Mocap open-source initiative focuses on using machine learning and computer vision for simulating human motion with pose estimation. Applications include ergonomic studies, worker safety monitoring, and the development of human-aware robotics. You can explore our full portfolio of projects at: https://infotiv-research.github.io/
In this talk, I will also introduce the SMILE-IV and ARTWORK research projects, along with the open-source tools developed for them. I will demonstrate their current capabilities, highlight interesting challenges, and share how you can get involved.
Bio: Dr. Hamid Ebadi received both his M.S. and Ph.D. from Chalmers University of Technology, Gothenburg. He now leads Infotiv Research projects as a Senior Research Engineer. His work bridges academic research and industrial applications, with a focus on simulation platforms, machine learning, and robotics.
