ExpertiseUpdated on 25 February 2025
Monitoring Safety in Robot Manipulation
About
Our recent research focuses on the development of a deep multimodal sensor fusion framework (FINO-Net) for failure/anomaly detection and prediction in manipulation tasks by humanoid robots.
We have expertise in multimodal sensor fusion methods for processing RGB, depth and audio readings and deep learning methods to effectively detect robot manipulation failures/anomalies.
Project page: https://air.cs.itu.edu.tr/projects/finonet.html
Field
- Artificial Intelligence (AI)-based Tools and Technologies
- AI & Data & Robotics
Organisation
Similar opportunities
Expertise
Developing tools to ensure safety in Robot Manipulation
- AI & Data & Robotics
- Artificial Intelligence (AI)-based Tools and Technologies
Sanem Sariel
Professor at Istanbul Technical University
Istanbul, Türkiye
Project cooperation
Digital Twin Generation over 5G
- R&D Partner
- Coordinator
- Technical Partner
- Planning (Concept)
- AI & Data & Robotics
- Smart Urban Mobility
- Digital Solutions and Digitalization
- Dissemination & Exploitation Partner
- Connected, Cooperative and Automated Mobility (CCAM)
- Artificial Intelligence (AI) based Tools and Technologies
Berk TURANLI
Co-Founder at Link Robotics
Jurmala, Latvia
Expertise
Navigation systems, Kalman based SoC estimation.
Tolga Sönmez
Owner at NavAware
Ankara, Türkiye