# Devesh K. Jha

According to our database

Collaborative distances:

^{1}, Devesh K. Jha authored at least 31 papers between 2013 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

Sequential hypothesis tests for streaming data via symbolic time-series analysis.

Eng. Appl. of AI, 2019

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control.

CoRR, 2019

Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation.

CoRR, 2019

Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function.

CoRR, 2019

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning.

CoRR, 2019

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze.

Proceedings of the International Conference on Robotics and Automation, 2019

Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics.

Proceedings of the International Conference on Robotics and Automation, 2019

Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function.

Proceedings of the 36th International Conference on Machine Learning, 2019

Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models.

Proceedings of the 18th European Control Conference, 2019

Data-Driven Control Policies for Partially Known Systems via Kernelized Lipschitz Learning.

Proceedings of the 2019 American Control Conference, 2019

2018

Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities.

Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data.

IEEE Trans. Cybernetics, 2018

Symbolic analysis-based reduced order Markov modeling of time series data.

Signal Processing, 2018

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze.

CoRR, 2018

Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics.

CoRR, 2018

Algorithms for Task Allocation in Homogeneous Swarm of Robots.

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Information Fusion of Passive Sensors for Detection of Moving Targets in Dynamic Environments.

IEEE Trans. Cybernetics, 2017

Learning to regulate rolling ball motion.

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A two-stage RRT path planner for automated parking.

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016

Path planning in GPS-denied environments via collective intelligence of distributed sensor networks.

Int. J. Control, 2016

Data-driven robot gait modeling via symbolic time series analysis.

Proceedings of the 2016 American Control Conference, 2016

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities.

Proceedings of the 2016 American Control Conference, 2016

Topology control in mobile sensor networks using information space feedback.

Proceedings of the 2016 American Control Conference, 2016

Sensor selection for passive sensor networks in dynamic environment: A dynamic data-driven approach.

Proceedings of the 2016 American Control Conference, 2016

Data-driven anytime algorithms for motion planning with safety guarantees.

Proceedings of the 2016 American Control Conference, 2016

2015

Topology optimisation for energy management in underwater sensor networks.

Int. J. Control, 2015

Dynamic data-driven symbolic causal modeling for battery performance & health monitoring.

Proceedings of the 18th International Conference on Information Fusion, 2015

Feature level sensor fusion for target detection in dynamic environments.

Proceedings of the American Control Conference, 2015

Depth estimation in Markov models of time-series data via spectral analysis.

Proceedings of the American Control Conference, 2015

Path planning in GPS-denied environments: A collective intelligence approach.

Proceedings of the American Control Conference, 2015

2013

Language measure-theoretic path planning in the presence of dynamic obstacles.

Proceedings of the American Control Conference, 2013