Papers
3
Total Citations
20
H-Index
3
About
Felicidad Recio is a robotics researcher whose work in the late 1990s focused on the intersection of computer vision, motor control, and autonomous mobile robotics. Her most notable contributions center on the development of Basic Behavioral Agents designed to enable visually guided navigation in mobile robots, a technically challenging problem that requires tight integration between perceptual and motor systems. Working within a Hierarchical Architecture framework, Recio pioneered an incremental approach to behavior generation, allowing robots to progressively develop increasingly complex navigation capabilities by building upon foundational visual and motor interactions. Her 1997 paper on basic agents for visual/motor coordination, along with her subsequent 1998 work on behavior generation, together represent a cohesive research program that has attracted a combined 20 citations — a meaningful acknowledgment within the specialized robotics community of that era. Her research addressed a critical challenge in autonomous systems: enabling robots to meaningfully interpret visual information and translate it into coordinated physical movement, laying conceptual groundwork that would influence later developments in behavior-based robotics and autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1Basic agents for visual/motor coordination of a mobile robot9 citations · 1997
- 2
- 3
Key Collaborators
Related papers
- Basic Visual and Motor Agents for Increasingly Complex Behavior Generation on a Mobile Robot
- Basic Visual and Motor Agents for Increasingly Complex Behavior Generation on a Mobile Robot
- Basic agents for visual/motor coordination of a mobile robot
- A Framework for Cognitive Agents
- A behavior-based architecture for robots using real-time vision
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