Dimitrios Chrysostomou
Ph.D. Democritus University of Thrace 2013 (ORCID ID = 0000-0002-6114-8944)
Facts
6 properties- Instance of
- human
- Occupation
- researcher, manufacturing engineering, engineer
- Employer
- Aalborg University
- Educated at
- Democritus University of Thrace School of Engineering, Democritus University of Thrace School of Engineering
- Official website
- vbn.aau.dk[5]
- Doctoral advisor
- Antonios Gasteratos[4]
🏷️ Also known as
en Dimitrios Chrysostomos Chrysostomou
en Dimitrios Chrysostomou
🔖 Identifiers · 12
- ORCID iD
- 0000-0002-6114-8944
- VIAF cluster ID
- 51161272086147441960
- GND ID
- 1226373526
- Academic Tree ID
- 833649
- DBLP author ID
- 32/7627
- Dimensions author ID
- 010622447454.05
- LinkedIn personal profile ID
- chrysostomou
- Loop ID
- 1869678
- Mathematics Genealogy Project ID
- 175349
- ResearcherID
- H-7077-2013
- SciProfiles ID
- 446149
- Scopus author ID
- 24477398900
🔗 Connections
Author of 19
A Collaborative Robot Cell for Random Bin-picking based on Deep Learning Policies and a Multi-gripper Switching Strategy,
A Dual-arm Collaborative Robot System for the Smart Factories of the Future,
A Framework for Wildfire Inspection Using Deep Convolutional Neural Networks,
An Energy-based Approach for the Integration of Collaborative Redundant Robots in Restricted Work Environments,
A Skill-based Robot Co-worker for Industrial Maintenance Tasks,
A speech-enabled virtual assistant for efficient human–robot interaction in industrial environments,
Bringing a Natural Language-enabled Virtual Assistant to Industrial Mobile Robots for Learning, Training and Assistance of Manufacturing Tasks,
Design of an Energy-Aware Cartesian Impedance Controller for Collaborative Disassembly
+11 more
← Authored by 19
A Collaborative Robot Cell for Random Bin-picking based on Deep Learning Policies and a Multi-gripper Switching Strategy,
A Dual-arm Collaborative Robot System for the Smart Factories of the Future,
A Framework for Wildfire Inspection Using Deep Convolutional Neural Networks,
An Energy-based Approach for the Integration of Collaborative Redundant Robots in Restricted Work Environments,
A Skill-based Robot Co-worker for Industrial Maintenance Tasks,
A speech-enabled virtual assistant for efficient human–robot interaction in industrial environments,
Bringing a Natural Language-enabled Virtual Assistant to Industrial Mobile Robots for Learning, Training and Assistance of Manufacturing Tasks,
Design of an Energy-Aware Cartesian Impedance Controller for Collaborative Disassembly
+11 more
Affiliated with 1
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