| Continual learning of knowledge graph embeddings A Daruna, M Gupta, M Sridharan, S Chernova IEEE Robotics and Automation Letters 6 (2), 1128-1135, 2021 | 49 | 2021 |
| Robocse: Robot common sense embedding A Daruna, W Liu, Z Kira, S Chernova 2019 International Conference on Robotics and Automation (ICRA), 9777-9783, 2019 | 49 | 2019 |
| Cage: Context-aware grasping engine W Liu, A Daruna, S Chernova 2020 IEEE International Conference on Robotics and Automation (ICRA), 2550-2556, 2020 | 44 | 2020 |
| Situated bayesian reasoning framework for robots operating in diverse everyday environments S Chernova, V Chu, A Daruna, H Garrison, M Hahn, P Khante, W Liu, ... Robotics Research: The 18th International Symposium ISRR, 353-369, 2020 | 26 | 2020 |
| Comparison of electromagnetic side-channel energy available to the attacker from different computer systems R Callan, N Popovic, A Daruna, E Pollmann, A Zajic, M Prvulovic 2015 IEEE International Symposium on Electromagnetic Compatibility (EMC …, 2015 | 24 | 2015 |
| Towards robust one-shot task execution using knowledge graph embeddings A Daruna, L Nair, W Liu, S Chernova 2021 IEEE International Conference on Robotics and Automation (ICRA), 11118 …, 2021 | 19 | 2021 |
| Learning instance-level n-ary semantic knowledge at scale for robots operating in everyday environments W Liu, D Bansal, A Daruna, S Chernova Autonomous Robots 47 (5), 529-547, 2023 | 15 | 2023 |
| Path ranking with attention to type hierarchies W Liu, A Daruna, Z Kira, S Chernova Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2893-2900, 2020 | 13 | 2020 |
| Whitespaces after the USA's TV incentive auction: A spectrum reallocation case study V Muthukumar, A Daruna, V Kamble, K Harrison, A Sahai 2015 IEEE International Conference on Communications (ICC), 7582-7588, 2015 | 11 | 2015 |
| A survey of semantic reasoning frameworks for robotic systems W Liu, A Daruna, M Patel, K Ramachandruni, S Chernova Robotics and Autonomous Systems 159, 104294, 2023 | 10 | 2023 |
| Explainable knowledge graph embedding: Inference reconciliation for knowledge inferences supporting robot actions A Daruna, D Das, S Chernova 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 9 | 2022 |
| Taking recoveries to task: Recovery-driven development for recipe-based robot tasks S Banerjee, A Daruna, D Kent, W Liu, J Balloch, A Jain, A Krishnan, ... The International Symposium of Robotics Research, 593-609, 2019 | 7 | 2019 |
| Appendices K Harrison, V Muthukumar, V Kamble, A Daruna, A Sahai Whitespaces after the USA’s TV incentive auction: a spectrum reallocation …, 2015 | 5 | 2015 |
| Sirok: Situated robot knowledge-Understanding the balance between situated knowledge and variability AA Daruna, V Chu, W Liu, M Hahn, P Khante, S Chernova, A Thomaz 2018 AAAI Spring Symposium Series, 2018 | 3 | 2018 |
| Appendices for “Whitespaces after the USA’s TV incentive auction: a spectrum reallocation case study” K Harrison, V Muthukumar, V Kamble, A Daruna, A Sahai Tech. Rep., 2015 | 2 | 2015 |
| Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs A Daruna, Y Gong, A Rajvanshi, HP Chiu, Y Yao arXiv preprint arXiv:2312.05946, 2023 | | 2023 |
| Using Multi-Relational Embeddings as Knowledge Graph Representations for Robotics Applications. AA Daruna Georgia Institute of Technology, Atlanta, GA, USA, 2022 | | 2022 |
Sonia ChernovaAssociate Professor, Georgia Institute of Technologycc.gatech.edu의 이메일 확인됨
