Papers
8
Total Citations
169
H-Index
5
About
Vasco Lopes is a researcher working at the intersection of blockchain technology, robotics, and artificial intelligence, with a particular focus on how decentralized systems can enhance robotic environments. His most influential contribution, "An Overview of Blockchain Integration with Robotics and Artificial Intelligence" (2019), has amassed 79 citations and established him as a pioneering voice in what remains a nascent but rapidly evolving field. Lopes has systematically explored how blockchain's core properties — immutability, decentralization, and non-repudiation — can be leveraged in robotic contexts, producing notable work on AI-controlled robots operating within consortium blockchains, anomaly detection through his RobotChain framework, and blockchain-based 3D workspace monitoring. Beyond blockchain-robotics integration, his research extends into computer vision and robot navigation, including real-time door detection on low-power devices and point cloud simplification for improved object grasping. With a publication cluster concentrated in 2019 and continuing into 2021, Lopes has accumulated over 160 citations across his work, demonstrating meaningful and growing influence in an interdisciplinary space that bridges cybersecurity, autonomous systems, and distributed computing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Controlling Robots using Artificial Intelligence and a Consortium Blockchain26 citations · 2019
- 3Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach20 citations · 2019
- 4Detecting Robotic Anomalies using RobotChain18 citations · 2019
- 5
- 6
- 7A Time-Segmented Consortium Blockchain for Robotic Event Registration3 citations · 2021
- 8“Less is more”: Simplifying point clouds to improve grasping performance2 citations · 2018