Cihangir Goktolga
Papers
1
Total Citations
4
H-Index
1
About
Cihangir Goktolga is a researcher advancing the frontiers of human-robot interaction, with a primary focus on natural language processing and dialog systems for robotic agents. His key research areas include statistical goal-oriented human-robot dialog, knowledge augmentation, and autonomous language learning in robotic systems. Goktolga's most notable contribution, "Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog" (2019), addresses a critical gap in robotics: while many robots can interpret human commands, few can improve their language capabilities through interaction. His work develops dialog agents that not only understand user commands but also learn and expand their linguistic knowledge from real-world conversations, enabling more adaptive and intelligent robotic assistants. This research has garnered attention with 4 citations, establishing Goktolga as an emerging voice in the field. His work is particularly significant for students and researchers interested in creating robots that evolve through natural interaction, bridging the gap between static command-response systems and truly learning, conversational agents.
Research Focus
Key Achievements
Top Papers
- 1