Atanas Laskov
Papers
3
Total Citations
36
H-Index
3
About
Atanas Laskov is a researcher at the forefront of human-robot interaction, specializing in making autonomous systems more transparent and trustworthy through natural language. His work focuses on developing conversational interfaces that allow humans to query and understand the decision-making of robots operating in remote, hazardous environments—such as offshore wind farms, search-and-rescue zones, and military settings. Laskov’s key contributions include the design of a natural language chat interface that enables users to request explanations of a robot’s behavior in real time, as demonstrated in his highly cited paper “Explain Yourself: A Natural Language Interface for Scrutable Autonomous Robots” (18 citations). He further advanced this line of inquiry in “Exploring Interaction with Remote Autonomous Systems using Conversational Agents” (13 citations), which examines how dialogue can support human oversight of autonomous vehicles. Additionally, Laskov co-authored the “Corpus of Multimodal Interaction for Collaborative Planning” (5 citations), a resource that captures how people use speech, gesture, and other modalities to plan tasks with robots. His work has been presented at leading venues like RoboNLP and is shaping the future of explainable AI in robotics, with cumulative citations approaching 40.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Corpus of Multimodal Interaction for Collaborative Planning5 citations · 2019