| A survey of robot learning strategies for human-robot collaboration in industrial settings D Mukherjee, K Gupta, LH Chang, H Najjaran Robotics and Computer-Integrated Manufacturing 73, 102231, 2022 | 218 | 2022 |
| SliceNet: A proficient model for real-time 3D shape-based recognition X Chen, Y Chen, K Gupta, J Zhou, H Najjaran Neurocomputing 316, 144-155, 2018 | 25 | 2018 |
| Development of a plug-and-play infrared landing system for multirotor unmanned aerial vehicles E Nowak, K Gupta, H Najjaran 2017 14th Conference on Computer and Robot Vision (CRV), 256-260, 2017 | 18 | 2017 |
| Extending the capabilities of reinforcement learning through curriculum: A review of methods and applications K Gupta, D Mukherjee, H Najjaran SN Computer Science 3, 1-18, 2022 | 10 | 2022 |
| Curriculum-Based Deep Reinforcement Learning for Adaptive Robotics: A Mini-Review K Gupta, H Najjaran International Journal of Robotic Engineering 6 (1), 2021 | 7 | 2021 |
| Vision-based deformation and wrinkle detection for semi-finished fiber products on curved surfaces K Gupta, M Körber, F Krebs, H Najjaran 2018 IEEE 14th international conference on automation science and …, 2018 | 7 | 2018 |
| An ai-powered hierarchical communication framework for robust human-robot collaboration in industrial settings D Mukherjee, K Gupta, H Najjaran 2022 31st IEEE International Conference on Robot and Human Interactive …, 2022 | 6 | 2022 |
| Exploiting abstract symmetries in reinforcement learning for complex environments K Gupta, H Najjaran 2022 International Conference on Robotics and Automation (ICRA), 3631-3637, 2022 | 6 | 2022 |
| Wrinkle and boundary detection of fiber products in robotic composites manufacturing K Gupta, M Körber, A Djavadifar, F Krebs, H Najjaran Assembly Automation 40 (2), 283-291, 2020 | 6 | 2020 |
| A critical analysis of industrial human-robot communication and its quest for naturalness through the lens of complexity theory D Mukherjee, K Gupta, H Najjaran Frontiers in Robotics and AI 9, 870477, 2022 | 5 | 2022 |
| Robot-assisted composite manufacturing based on machine learning applied to multi-view computer vision A Djavadifar, JB Graham-Knight, K Gupta, M Körber, P Lasserre, ... | 5* | |
| 3d reconstruction from 2d images: A two-part autoencoder-like tool M Tucsok, SH Gazani, K Gupta, H Najjaran 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 4 | 2022 |
| Reinforcement learning in complex environments with locally trained naïve agents K Gupta University of British Columbia, 2021 | 4 | 2021 |
| Exploiting classifier inter-level features for efficient out-of-distribution detection J Fayyad, K Gupta, N Mahdian, D Gruyer, H Najjaran Image and Vision Computing 142, 104897, 2024 | 3 | 2024 |
| Vision-based pose estimation of a multi-rotor unmanned aerial vehicle K Gupta, BJ Emran, H Najjaran International journal of intelligent unmanned systems 7 (3), 120-132, 2019 | 3 | 2019 |
| Autonomous vehicle control: teaching tool and simulation M O’Brien, K Gupta, B Emran, H Najjaran 2018 IEEE Frontiers in Education Conference (FIE), 1-9, 2018 | 2 | 2018 |
| Development of automated sensing system to aid rescue operations after an earthquake K Gupta, N Jaiswal, VB Hency Internation J. Civil Eng. Technol. 8 (8), 1430-1440, 2017 | 1 | 2017 |
| Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation AMS Enayati, Z Zhang, K Gupta, H Najjaran arXiv preprint arXiv:2304.06055, 2023 | | 2023 |
| Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation AM Soufi Enayati, Z Zhang, K Gupta, H Najjaran arXiv e-prints, arXiv: 2304.06055, 2023 | | 2023 |
| RANSITION METAL CHEMISTRY KKS Gupta, M Adhikary, SKMSS Gupta, N Saha, D Mukherjee, P Román, ... | | |
