Vikas Dhiman

Orcid: 0000-0003-0078-3677

According to our database1, Vikas Dhiman authored at least 22 papers between 2013 and 2024.

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Bibliography

2024
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety.
CoRR, 2024

Cross-view geo-localization: a survey.
CoRR, 2024

FogGuard: guarding YOLO against fog using perceptual loss.
CoRR, 2024

Omobot: a low-cost mobile robot for autonomous search and fall detection.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023
Control Barriers in Bayesian Learning of System Dynamics.
IEEE Trans. Autom. Control., 2023

Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning.
Auton. Robots, 2023

2022
Safe Control Synthesis With Uncertain Dynamics and Constraints.
IEEE Robotics Autom. Lett., 2022

2020
Learning Navigation Costs from Demonstration with Semantic Observations.
CoRR, 2020

Learning Navigation Costs from Demonstrations with Semantic Observations.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Distributed Heterogeneous Multi-robot Source Seeking Using Information Based Sampling with Visual Recognition.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Learning Navigation Costs from Demonstration in Partially Observable Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning from Interventions Using Hierarchical Policies for Safe Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Learning Compositional Sparse Bimodal Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Floyd-Warshall Reinforcement Learning Learning from Past Experiences to Reach New Goals.
CoRR, 2018

A Critical Investigation of Deep Reinforcement Learning for Navigation.
CoRR, 2018

2016
Spatiotemporal Articulated Models for Dynamic SLAM.
CoRR, 2016

A Continuous Occlusion Model for Road Scene Understanding.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Modern MAP inference methods for accurate and fast occupancy grid mapping on higher order factor graphs.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning Compositional Sparse Models of Bimodal Percepts.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Voxel planes: Rapid visualization and meshification of point cloud ensembles.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Mutual localization: Two camera relative 6-DOF pose estimation from reciprocal fiducial observation.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013


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