Rajdeep Dutta
Rajdeep Dutta
Scientist at A*STAR
Verified email at
Cited by
Cited by
A decentralized formation and network connectivity tracking controller for multiple unmanned systems
R Dutta, L Sun, D Pack
IEEE Transactions on Control Systems Technology 26 (6), 2206-2213, 2017
Swarm intelligence algorithms for integrated optimization of piezoelectric actuator and sensor placement and feedback gains
R Dutta, R Ganguli, V Mani
Smart Materials and Structures 20 (10), 105018, 2011
Exploring isospectral spring–mass systems with firefly algorithm
R Dutta, R Ganguli, V Mani
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2011
A cooperative formation control strategy maintaining connectivity of a multi-agent system
R Dutta, L Sun, M Kothari, R Sharma, D Pack
IEEE/RSJ International Conference on Intelligent Robots and Systems - IROS …, 2014
Multi-agent formation control with maintaining and controlling network connectivity
R Dutta, L Sun, D Pack
2016 American Control Conference (ACC), 1036-1041, 2016
Exploring isospectral cantilever beams using electromagnetism inspired optimization technique
R Dutta, R Ganguli, V Mani
Swarm and Evolutionary Computation 9, 37-46, 2013
Comparing data driven and physics inspired models for hopping transport in organic field effect transistors
M Lakshminarayanan, R Dutta, DVM Repaka, S Jayavelu, WL Leong, ...
Scientific Reports 11 (1), 23621, 2021
Rapid and accurate thin film thickness extraction via UV-Vis and machine learning
SIP Tian, Z Liu, V Chellappan, YF Lim, Z Ren, F Oviedo, BH Teo, J Thapa, ...
2020 47th IEEE photovoltaic specialists conference (PVSC), 0128-0132, 2020
GPS-Denied Three Dimensional Leader-Follower Formation Control Using Deep Reinforcement Learning
RA Selje, A Al-Radaideh, R Dutta, L Sun
AIAA SciTech 2022 forum, 2237, 2022
Capturing functional relations in fluid–structure interaction via machine learning
T Soni, A Sharma, R Dutta, A Dutta, S Jayavelu, S Sarkar
Royal Society open science 9 (4), 220097, 2022
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning
R Dutta, Q Wang, A Singh, D Kumarjiguda, L Xiaoli, S Jayavelu
arXiv preprint arXiv:2305.07367, 2023
A decentralized learning strategy to restore connectivity during multi-agent formation control
R Dutta, H Kandath, S Jayavelu, L Xiaoli, S Sundaram, D Pack
Neurocomputing 520, 33-45, 2023
Cooperative control of autonomous network topologies
R Dutta
The University of Texas at San Antonio, 2016
A Numerical Method for Constructing Isospectral Discrete Systems
R Agarwal, R Dutta, R Ganguli
International Journal for Computational Methods in Engineering Science and …, 2015
Extracting film thickness and optical constants from spectrophotometric data by evolutionary optimization
R Dutta, SIP Tian, Z Liu, M Lakshminarayanan, S Venkataraj, Y Cheng, ...
Plos one 17 (11), e0276555, 2022
Robust Consensus of Higher-Order Multi-Agent Systems With Attrition and Inclusion of Agents and Switching Topologies
JV Pushpangathan, H Kandath, R Dutta, R Bardhan, J Senthilnath
arXiv preprint arXiv:2202.06261, 2022
A generic formation controller and state observer for multiple unmanned systems
R Dutta, C Qian, L Sun, D Pack
arXiv preprint arXiv:1709.01321, 2017
Role of Iso-connectivity Topologies in Multi-agent Interactions
R Dutta, D Pack
arXiv preprint arXiv:1606.03641, 2016
Self-evolving Autoencoder Embedded Q-Network
J Senthilnath, B Zhou, ZW Ng, D Aggarwal, R Dutta, JW Yoon, APP Aung, ...
arXiv preprint arXiv:2402.11604, 2024
Tethered Multicopter Guidance in GPS-Denied Environments Through Reinforcement Learning
A Al-Radaideh, RA Selje, D Coraspe, E Camci, R Dutta, L Sun, ...
AIAA SCITECH 2023 Forum, 0507, 2023
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