Dito Eka Cahya
Papers
3
Total Citations
22
H-Index
2
About
Dito Eka Cahya is a researcher at the forefront of human-robot collaboration, specializing in how robots can detect, interpret, and respond to errors during joint tasks with humans. His work bridges cognitive robotics and social signal processing, focusing on the subtle behavioral cues—both static and temporal—that distinguish error-free from erroneous interactions. In his highly cited 2019 study (13 citations), Cahya identified key social signals that robots can leverage to anticipate mistakes, while his 2021 follow-up (7 citations) proposed appropriate robotic reactions to mitigate errors in real-time, enhancing trust and efficiency in collaborative settings. His foundational 2018 paper (2 citations) introduced a cognitive architecture that integrates human feedback, enabling robots to adapt their behavior dynamically. Together, these contributions lay critical groundwork for developing interactive robots that are not only technically proficient but also socially aware, capable of learning from human partners. Cahya’s work is essential reading for anyone interested in creating more intuitive, error-resilient robotic systems for manufacturing, healthcare, and everyday assistance.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3