Vincent Andreas
Papers
5
Total Citations
68
H-Index
4
About
Vincent Andreas is a robotics researcher specializing in intelligent humanoid robots, natural language processing (NLP), and autonomous military systems. His most influential work, "Deep learning-based question answering system for intelligent humanoid robot" (33 citations), introduces a self-learning framework that enables humanoid robots to understand and respond to user queries, significantly advancing human-robot interaction. Andreas further developed this concept with "Anita: Intelligent Humanoid Robot with Self-Learning Capability Using Indonesian Language" (10 citations), creating a robot capable of learning from small vocabularies and operating in Indonesian, addressing a critical gap in localized AI. His contributions extend to defense technology through "Development of Tank-Based Military Robot and Object Tracker" (19 citations), which proposes a smart system for counter-terrorism in Indonesia, integrating object tracking and autonomous control. Andreas also explored emotional robotics in "A Novel Model and Implementation of Humanoid Robot with Facial Expression and Natural Language Processing" (4 citations), combining facial expressions with NLP for more natural interactions. His work on Wi-Fi-based controllers for military robots further demonstrates his versatility. With over 68 total citations, Andreas is a rising figure in robotics, bridging AI, language processing, and practical applications for both civilian and security domains.
Research Focus
Key Achievements
Top Papers
- 1Deep learning-based question answering system for intelligent humanoid robot33 citations · 2020
- 2Development of Tank-Based Military Robot and Object Tracker19 citations · 2019
- 3
- 4
- 5