Cedric Goubard
Papers
3
Total Citations
20
H-Index
2
About
Cedric Goubard is a rising researcher at the forefront of human-robot collaboration (HRC), specializing in the cognitive and behavioral mechanisms that underpin trust between humans and autonomous systems. His work uniquely bridges computational modeling and social robotics, focusing on how robots can perceive, estimate, and adapt to human trust in real time. Goubard’s major contributions include developing trust-aware action selection frameworks that integrate multimodal cues—such as eye gaze and posture—to enable robots to dynamically adjust their behavior during collaborative tasks. His 2023 paper, "Cooking Up Trust," which has garnered 12 citations, is a foundational piece in this area, demonstrating how non-verbal signals can inform robot decision-making. He has further advanced the field by introducing semantic action embeddings that allow robots to learn and communicate their own self-confidence, a novel approach that enhances perceived robot proficiency and, consequently, human trust. His most recent 2025 work models cognitive visual attention to capture the volatile, subjective nature of trust, linking it to measurable bio-signals. Though early in his career, Goubard’s integrated, human-centric approach is already shaping next-generation HRC systems, making him a key voice in the quest for truly collaborative robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3