Modular system for instrumentation of everyday objects to accelerate robotic learning

01 October 2022 → 31 October 2022
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Machine learning and decision making
  • Engineering and technology
    • Embedded systems
    • Robot manipulation and interfaces
    • Sensing, estimation and actuating
    • Functional materials
Stretchable circuit technology sensor platform collaborative robots
Project description

Compliant, self-learning robots are of great economic importance, notably in the retail sector. Robotic learning is mostly vision-based, computationally expensive and slow. We propose a versatile and modular sensing platform with stretchable circuit technology for the instrumentation of everyday objects, to conveniently extract relevant data from the object under manipulation and thus speed up the learning process.