Andrew Terhorst
Papers
1
Total Citations
3
H-Index
1
About
Andrew Terhorst is a researcher at the intersection of cloud robotics and sustainable systems engineering. His work addresses a critical bottleneck in modern robotics: how to make autonomous systems economically viable and technically accessible for small industry and government. In his most-cited paper, "Sustainability, scalability, and sensor discovery with cloud robotics" (2013, 3 citations), Terhorst proposes an extension to the cloud robotics paradigm that enables the reuse of sensor data across heterogeneous robotic platforms and sensor networks. This contribution directly tackles the closed-system nature of traditional robotics, which has historically limited participation to large organisations. By designing frameworks that ease the economic and technical burden of deployment, Terhorst's research lays groundwork for more democratized, scalable robotic ecosystems. His work is particularly notable for bridging practical engineering concerns—such as sensor discovery and data sustainability—with the broader vision of ubiquitous, cloud-connected automation. While his citation count is modest, the conceptual impact of his ideas on open, sustainable robotics architectures continues to resonate with researchers exploring accessible automation solutions.
Research Focus
Key Achievements
Top Papers
- 1Sustainability, scalability, and sensor discovery with cloud robotics3 citations · 2013