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Highly automated and autonomous systems: emerging technologies across industrial domains
Beskrivelse
The session will provide an overview of recent developments within highly automated and autonomous systems in relation to perception, control and safety systems for the agricultural, construction, energy, and process industries. The session hosts the following talks:
1) Fault Tolerant Control for Wind Turbines' Hydraulic Pitch System by PhD candidate Alessio Dallabona
2) Perception of Grassland Weed Rumex with Deep Learning - Enabling Herbicide-Free Weeding on Agricultural Robots by PhD candidate Ronja Güldenring
3) Autonomous Robot Vision in Construction by PhD candidate Patrick Schmidt
4) Improve Process Safety in Automation Systems by Using Multilevel Flow Modelling by PhD candidate Ruixue Li
Talere
Roberto Galeazzi - Head of Center - DTU Centre for Collaborative Autonomous Systems
Alessio Dallabona - PhD student - DTU Centre for Collaborative Autonomous Systems
Ronja Güldenring - Ph.D. Candidate - Technical University of Denmark (DTU)
Patrick Schmidt - PhD student - DTU Centre for Collaborative Autonomous Systems
Ruixue Li - PhD student - DTU Centre for Collaborative Autonomous Systems
Alessio Dallabona - PhD student - DTU Centre for Collaborative Autonomous Systems
Ronja Güldenring - Ph.D. Candidate - Technical University of Denmark (DTU)
Patrick Schmidt - PhD student - DTU Centre for Collaborative Autonomous Systems
Ruixue Li - PhD student - DTU Centre for Collaborative Autonomous Systems
Dato & Tid
onsdag den 8. november 2023, 10.30 - 11.00
Sal
Sal 2
Temaer
Robotics og Fremtidens Teknologier