Probabilistic safety constraints for learned high relative degree system dynamics MJ Khojasteh, V Dhiman, M Franceschetti, N Atanasov Learning for Dynamics and Control, 781-792, 2020 | 92 | 2020 |
Control barriers in bayesian learning of system dynamics V Dhiman, MJ Khojasteh, M Franceschetti, N Atanasov IEEE Transactions on Automatic Control, 2021 | 65 | 2021 |
Continuous occlusion models for road scene understanding M Chandraker, V Dhiman US Patent 9,821,813, 2017 | 44 | 2017 |
A critical investigation of deep reinforcement learning for navigation V Dhiman, S Banerjee, B Griffin, JM Siskind, JJ Corso arXiv preprint arXiv:1802.02274, 2018 | 39* | 2018 |
A continuous occlusion model for road scene understanding V Dhiman, QH Tran, JJ Corso, M Chandraker Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 36 | 2016 |
Mutual localization: Two camera relative 6-dof pose estimation from reciprocal fiducial observation V Dhiman, J Ryde, JJ Corso 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 32 | 2013 |
Safe Control Synthesis with Uncertain Dynamics and Constraints K Long, V Dhiman, M Leok, J Cortés, N Atanasov IEEE Robotics and Automation Letters 7 (3), 7295-7302, 2022 | 18 | 2022 |
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals V Dhiman, S Banerjee, JM Siskind, JJ Corso arXiv preprint arXiv:1809.09318, 2018 | 17 | 2018 |
Voxel planes: Rapid visualization and meshification of point cloud ensembles J Ryde, V Dhiman, R Platt 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 16 | 2013 |
Modern MAP inference methods for accurate and fast occupancy grid mapping on higher order factor graphs V Dhiman, A Kundu, F Dellaert, JJ Corso International Conference on Robotics and Automation (ICRA), 2014 IEEE/RSJ …, 2014 | 15 | 2014 |
Spatiotemporal articulated models for dynamic SLAM S Kumar, V Dhiman, MR Ganesh, JJ Corso arXiv preprint arXiv:1604.03526, 2016 | 10 | 2016 |
Learning from interventions using hierarchical policies for safe learning J Bi, V Dhiman, T Xiao, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10352 …, 2020 | 9 | 2020 |
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning T Wang, V Dhiman, N Atanasov Autonomous Robots 47 (5), 1-1, 2023 | 6 | 2023 |
Learning Navigation Costs from Demonstrations with Semantic Observations T Wang, V Dhiman, N Atanasov Learning for Dynamics and Control, 245-255, 2020 | 5 | 2020 |
Learning navigation costs from demonstration in partially observable environments T Wang, V Dhiman, N Atanasov 2020 IEEE International Conference on Robotics and Automation (ICRA), 4434-4440, 2020 | 5 | 2020 |
Learning compositional sparse models of bimodal percepts S Kumar, V Dhiman, J Corso Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 5 | 2014 |
Learning Goal-Conditioned Value Functions with one-step Path rewards rather than Goal-Rewards V Dhiman, S Banerjee, JM Siskind, JJ Corso | 4 | 2018 |
Heterogeneous multi-robot adversarial patrolling using polymatrix games A Langley, V Dhiman, H Christensen International Symposium on Automation, Mechanical and Design Engineering, 13-27, 2021 | 3 | 2021 |
Towards Better Navigation: Optimizing Algorithms for Mapping, Localization and Planning V Dhiman | 2 | 2019 |
A Physics-Informed Neural Network Modeling Approach for Energy Storage-Based Fast Frequency Support in Microgrids A Rai, N Bhujel, V Dhiman, D Hummels, U Tamrakar, RH Byrne, ... 2024 IEEE Electrical Energy Storage Application and Technologies Conference …, 2024 | 1 | 2024 |