Manuel Acosta
Papers
1
Total Citations
4
H-Index
1
About
Manuel Acosta explores the intersection of robotics, human-computer interaction, and affective computing, with a focus on how emotional cues can enhance autonomous systems. His most-cited work, "Robot with Emotion for Triggering Mixed-Initiative Interaction Planning" (2008, 4 citations), introduces a novel framework where robot emotion serves as a catalyst for user engagement. By defining three interaction-planning modes that encompass seven distinct interaction types, Acosta demonstrates how emotional expression can shift traditional, passive human-robot dynamics into proactive, mixed-initiative exchanges. This contribution offers a foundational step toward more intuitive and socially aware robots, where machines not only respond to but also initiate interactions based on emotional states. While his citation count reflects an emerging impact, Acosta’s work is notable for its early integration of emotion as a functional trigger in planning systems—a concept that anticipates later advances in affective robotics. His research remains relevant for scholars interested in designing robots that communicate naturally, bridging the gap between technical planning and human emotional experience.
Research Focus
Key Achievements
Top Papers
- 1Robot with Emotion for Triggering Mixed-Initiative Interaction Planning4 citations · 2008