Ernest Cross
Papers
1
Total Citations
3
H-Index
1
About
Ernest Cross is a researcher whose work lies at the intersection of robotics, human-robot interaction, and artificial intelligence. His primary focus is on developing frameworks that enable more natural and effective communication between humans and robots, particularly through shared understanding of the physical environment. His most notable contribution, "A Robotic World Model Framework Designed to Facilitate Human-robot Communication" (2011), introduces a novel approach to creating a shared world model that allows robots to store, interpret, and respond to semantic information from humans in real time. This work addresses a critical challenge in situated communication: enabling robots to build and maintain mutual knowledge with human partners. While his citation count stands at 3, the conceptual depth and forward-looking nature of his framework have laid important groundwork for subsequent advances in context-aware robotics. Cross’s research is particularly valuable for students and researchers interested in bridging the gap between low-level robotic perception and high-level human language, offering a foundational perspective on how robots can become more intuitive and collaborative partners in shared environments.
Research Focus
Key Achievements
Top Papers
- 1