Agenda:

10.00 - 10.10  Opening - welcome & introduction

10.10 - 10.30  Navigating the EU Maze - Regulations and Funding for Battery Value chain, Patrik Krizansky, Slovak Electric Vehicle Association(SEVA) | Director & E-Mobility Europe | Vice-President

10.30 - 10.50  Empowering the Battery Value Chain ;,Sustainable Procurement, ESG Leadership & STEM Talent for a Greener Future, InoBat AUTO j.s.a. (SK)

• Part 1: InoBat – Strategic Procurement, ESG and Sustainability in the Battery Value Chain: Jana Maria Obernauer, ESG & Sustainability Manager, InoBat AUTO j.s.a.
• Part 2: EduBat – STEM & Sustainability Education for a Green Battery Industry - Victoria Vernarecova, COO InoBat AUTO j.s.a. a Managing Director EduBat

10.50 - 11.10  Supercapacitors for automotive and public transport, prof. Giancarlo Abbate, President of CapTop s.r.l.

11.10 - 11.25  Responsible battery recycling and material recuperation at the end of the life cycle, Marcin Ślęzak, CEO AE ELEMENTAL JV

11.25 - 11.40   Battery safety testing for Automotive, prof. Grzegorz Lota, Director of ŁUKASIEWICZ RESEARCH NETWORK INSTITUTE OF NON-FERROUS METALS DIVISION IN POZNAŃ

11.40 - 12.00   Discussion / Q&A Individual discussions with one of the guest lecturers, by prior arrangement.

Agenda:

10.00 - 10.10  Opening speech

10.10 - 10.30 Robotization and automation of production 
Learn how robotics and artificial intelligence are strengthening the competitiveness of automotive manufacturers and shaping Industry 4.0 and 5.0. Presentation of SRIP ToP (smart factory) solutions and applications and best practices of EIT Manufacturing partners.

10.30 - 10.50 Good practice example of a pilot project: Corrosion detection with artificial intelligence – computer vision for industrial quality control 
Discover how image-based AI and computer vision can automate the detection of surface defects (such as corrosion on cast iron parts), replace manual inspection, improve accuracy, and increase production efficiency.

10.50 - 11.10 Good practice example of a pilot project: Visual-Language-Action (VLA) models in robotics
Discover how Vision Language Action models (VLA) in robotics combine visual perception, language understanding, and physical action. Real-world performance also requires learning from action data and physical interaction. VLA systems address this by integrating VLMs with action-oriented modules that connect perception with physical execution.

11.10 - 12.00 Discussions with visiting experts (with prior registration)
Individual discussions with one of the guest lecturers, by prior arrangement.