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The system will utilize advanced vision-based methods to identify parts, determine optimal grasping locations, and validate these with Vision-Language Models (VLMs). AI planning for robot kinematics will be employed to efficiently create a planning based on incoming kitting orders, ensuring safe human-robot collaboration (HRC) through AI-based safety protocols. To eliminate the tool change time development of flexible grippers capable of handling various parts based on size and shape. This flexibility will be complemented by seamless natural language communication and interaction between operators and robots, enabling a more intuitive and efficient automation process. The novel concepts developed in this project, aimed at digitalizing, planning, and scheduling circular manufacturing, can be applied across various industrial sectors.

Research Area

  • Teknik
  • Produktionsteknik

Research environment / Institution

  • Primus (KK-miljö)
  • Institutionen för ingenjörsvetenskap

Project leader

Participants University West

Research Partner

  • Volvo Lastvagnar
  • Hitachi Energy Sweden AB
  • Stiftelsen Chalmers Industriteknik
  • Binar Solutions AB
  • Repli5 AB

Research funding

  • Vinnova

Project time

2025 - 2028

Updated