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Sonia Chernova
Robot Autonomy
Interactive Learning
Semantic Reasoning
Adaptive Autonomy
Explainable AI
About
Sonia Chernova is an Associate Professor in the College of Computing at Georgia Tech. She directs the Robot Autonomy and Interactive Learning (RAIL) lab, where her research focuses on the development of intelligent and interactive autonomous systems. Chernova’s contributions span robotics and artificial intelligence, including semantic reasoning, adaptive autonomy, human-robot interaction, and explainable AI. She also leads the NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), whose mission is to develop collaborative AI systems that help support independent home life for older adults experiencing cognitive decline.
Research Performance Summary
2002-2026
Active Research Span
First Recorded Paper
CMPack-02: CMU’s legged robot soccer team
Year:
2002
Citations:
22
Venue:
Proceedings of the RoboCup Symposium
Latest Recorded Paper
Learning and Optimizing the Efficacy of Spatio-Temporal Task Allocation under Temporal and Resource Constraints
Year:
2026
Citations:
1
Venue:
arXiv preprint arXiv:2601.02505
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Chernova
Veloso
Research Impact by Period
Papers
12
Citations
35
Avg. Citations / Paper
2.9
H-Index
3
Papers
72
Citations
3989
Avg. Citations / Paper
55.4
H-Index
27
Papers
64
Citations
1974
Avg. Citations / Paper
30.8
H-Index
23
Papers
43
Citations
1205
Avg. Citations / Paper
28
H-Index
15
Papers
21
Citations
6006
Avg. Citations / Paper
286
H-Index
13
Papers
5
Citations
276
Avg. Citations / Paper
55.2
H-Index
4
Contact and Professional Links
Detected Research Keywords
Human Robot Interaction
Robot Learning Demonstration
Activity Recognition Smart
Human Robot Teaming
Creative Problem Solving
Recognition Smart Homes
Nri Collaborative Research
Robot Learning Human
Learning Demonstration Shaping
Policy Learning Demonstration