Obserwuj
Vikas Dhiman
Vikas Dhiman
Assistant Professor at the University of Maine
Zweryfikowany adres z maine.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
972020
Control barriers in bayesian learning of system dynamics
V Dhiman, MJ Khojasteh, M Franceschetti, N Atanasov
IEEE Transactions on Automatic Control, 2021
762021
Continuous occlusion models for road scene understanding
M Chandraker, V Dhiman
US Patent 9,821,813, 2017
462017
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
372016
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
322013
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
262022
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
182018
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
162014
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
162013
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
102023
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
102020
Spatiotemporal articulated models for dynamic SLAM
S Kumar, V Dhiman, MR Ganesh, JJ Corso
arXiv preprint arXiv:1604.03526, 2016
102016
Cross-view geo-localization: a survey
A Durgam, S Paheding, V Dhiman, V Devabhaktuni
IEEE Access, 2024
62024
Learning Navigation Costs from Demonstrations with Semantic Observations
T Wang, V Dhiman, N Atanasov
Learning for Dynamics and Control, 245-255, 2020
62020
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
52020
Learning compositional sparse models of bimodal percepts
S Kumar, V Dhiman, J Corso
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
52014
Learning Goal-Conditioned Value Functions with one-step Path rewards rather than Goal-Rewards
V Dhiman, S Banerjee, JM Siskind, JJ Corso
42018
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
32021
Towards Better Navigation: Optimizing Algorithms for Mapping, Localization and Planning
V Dhiman
22019
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20