Niladri Das
Cited by
Cited by
Optimal-Transport-Based Tracking of Space Objects Using Range Data from a Single Ranging Station (Read More:
N Das, V Deshpande, R Bhattacharya
Journal of Guidance, Control, and Dynamics, 2019
Optimal transport based tracking of space objects in cylindrical manifolds
N Das, RP Ghosh, N Guha, R Bhattacharya, B Mallick
The Journal of the Astronautical Sciences 66 (4), 582-606, 2019
Control of a 4 DoF Barrett WAM robot—Modeling, control synthesis and experimental validation
A Mitra, N Das, RN Samant, L Behera
2016 IEEE First International Conference on Control, Measurement and …, 2016
Modeling and Optimal Control of Hybrid UAVs with Wind Disturbance
SK Kim, N Das, R Bhattacharya
arXiv preprint arXiv:2006.11192, 2020
Learning object manipulation from demonstration through vision for the 7-DOF barrett WAM
N Das, R Prakash, L Behera
2016 IEEE First International Conference on Control, Measurement and …, 2016
Sparse Sensing Architecture For Kalman Filtering With Guarenteed Error Bound
N Das, R Bhattacharya
1st IAA Conference on Space Situational Awareness (ICSSA), 2017
Optimal Sensor Precision for Multi-Rate Sensing for Bounded Estimation Error
N Das, R Bhattacharya
Optimal sensing precision in ensemble and unscented kalman filtering
N Das, R Bhattacharya
IFAC-PapersOnLine 53 (2), 5016-5021, 2020
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic
JA Duersch, TA Catanach, N Das
arXiv preprint arXiv:2203.08977, 2022
Privacy and Utility Aware Data Sharing for Space Situational Awareness from Ensemble and Unscented Kalman Filtering Perspective
N Das, R Bhattacharya
IEEE Transactions on Aerospace and Electronic Systems 57 (2), 1162-1176, 2020
Optimal transport based filtering with nonlinear state equality constraints
N Das, R Bhattacharya
IFAC-PapersOnLine 53 (2), 2373-2378, 2020
Metrics for Bayesian Optimal Experiment Design under Model Misspecification
TA Catanach, N Das
arXiv preprint arXiv:2304.07949, 2023
On Neural Network Training from Noisy Data using a Novel Filtering Framework
V Deshpande, N Das, V Tadiparthi, R Bhattacharya
AIAA Scitech 2020 Forum, 1869, 2020
Eigen Value Analysis in Lower Bounding Uncertainty of Kalman Filter Estimates
N Das, R Bhattacharya
IFAC-PapersOnLine 53 (2), 5022-5027, 2020
A probabilistic framework of learning movement primitives from unstructured demonstrations
N Das, S Dutta, SK Reddy, L Behera
2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 2015
Variational Kalman Filtering with H-Based Correction for Robust Bayesian Learning in High Dimensions
N Das, JA Duersch, TA Catanach
2022 IEEE 61st Conference on Decision and Control (CDC), 7522-7528, 2022
Robot learns from human teacher through modified kinesthetic teaching
DP Ghoshal, N Das, S Dutta, L Behera
IFAC Proceedings Volumes 47 (1), 773-780, 2014
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