K HARIKUMAR

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Suresh SundaramProfessor, Department of Aerospace Engineering, Indian Institute of ScienceZweryfikowany adres z iisc.ac.in
J.Senthilnath, PhD (IISc)Institute for Infocomm Research, A*STAR, SingaporeZweryfikowany adres z i2r.a-star.edu.sg
jinraj v pushpangathanDepartment of Aerospace Engineering,Amrita Vishwa Vidyapeetham, CoimbatoreZweryfikowany adres z cb.amrita.edu
HARIPRASAD KODAMANAAssociate Professor, Department of Chemical Engineering, (Jointly with) Yardi School of AIZweryfikowany adres z iitd.ac.in
Sidhant DhallResearcherZweryfikowany adres z buffalo.edu
K Madhava KrishnaProfessor, IIIT HyderabadZweryfikowany adres z iiit.ac.in
Mahardhika PratamaAssociate Professor-Level Enterprise Fellow, STEM, University of South AustraliaZweryfikowany adres z unisa.edu.au
Mohamad Abdul HadyUniversity of South AustraliaZweryfikowany adres z mymail.unisa.edu.au
Deepak GangadharanAssistant Professor, IIIT HyderabadZweryfikowany adres z iiit.ac.in
Rajdeep DuttaSenior Scientist at A*STARZweryfikowany adres z i2r.a-star.edu.sg
Basaran Bahadir KocerUniversity of BristolZweryfikowany adres z bristol.ac.uk
Niket KaisareIndian Institute of Technology MadrasZweryfikowany adres z iitm.ac.in
Md Meftahul FerdausPostdoctoral Research Scientist, University of New OrleansZweryfikowany adres z uno.edu
Sundararajan NRetd. Prof EEE, NTU, SingaporeZweryfikowany adres z ntu.edu.sg
Gaotham AnandIndian Institute of ScienceZweryfikowany adres z iisc.ac.in
Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandZweryfikowany adres z hi.is
Bhaskar JoshiIIIT HyderabadZweryfikowany adres z research.iiit.ac.in
Sujit PBIISER BhopalZweryfikowany adres z iiserb.ac.in
Pravin MaliResearch Student at IIIT HyderabadZweryfikowany adres z research.iiit.ac.in
Arun SinghInstittute of Technology, University of TartuZweryfikowany adres z ut.ee

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K HARIKUMAR

IIIT Hyderabad

Zweryfikowany adres z iiit.ac.in - Strona główna

Aerial robotics Reinforcement Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Multi-UAV oxyrrhis marina-inspired search and dynamic formation control for forest firefighting K Harikumar, J Senthilnath, S Sundaram IEEE Transactions on Automation Science and Engineering 16 (2), 863-873, 2018	163	2018
Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control T Joshi, S Makker, H Kodamana, H Kandath Computers & Chemical Engineering 155, 107527, 2021	46*	2021
Autonomous navigation and sensorless obstacle avoidance for UGV with environment information from UAV H Kandath, T Bera, R Bardhan, S Sundaram 2018 Second IEEE International Conference on Robotic Computing (IRC), 266-269, 2018	38	2018
Mission Aware Motion Planning (MAP) Framework With Physical and Geographical Constraints for a Swarm of Mobile Stations K Harikumar, JSS Sundaram IEEE Transactions on Cybernetics, 1-11, 2019	20	2019
Nonlinear modeling and control of coupled dynamics of a fixed wing micro air vehicle K Harikumar, S Dhall, MS Bhat 2016 Indian control conference (ICC), 318-323, 2016	18	2016
BS-McL: Bilevel segmentation framework with metacognitive learning for detection of the power lines in UAV imagery J Senthilnath, A Kumar, A Jain, K Harikumar, M Thapa, S Suresh, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021	15	2021
Modeling and closed loop flight testing of a fixed wing micro air vehicle H Kandath, JV Pushpangathan, T Bera, S Dhall, MS Bhat Micromachines 9 (3), 111, 2018	14	2018
Effects of gyroscopic coupling and countertorque in a fixed-wing nano air vehicle JV Pushpangathan, MS Bhat, K Harikumar Journal of Aircraft 55 (1), 239-250, 2018	14	2018
An Efficient Approach With Dynamic Multiswarm of UAVs for Forest Firefighting J John, K Harikumar, J Senthilnath, S Sundaram IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024	11	2024
Incorporating prediction in control barrier function based distributive multi-robot collision avoidance P Mali, K Harikumar, AK Singh, KM Krishna, PB Sujit 2021 European Control Conference (ECC), 2394-2399, 2021	11	2021
TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control T Joshi, H Kodamana, H Kandath, N Kaisare Control Engineering Practice 134, 105462, 2023	10	2023
Discrete-time sliding mode observer for the state estimation of a manoeuvring target K Harikumar, T BEra, RBS Sundaram Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2019	10	2019
Mutli-agent consensus under communication failure using actor-critic reinforcement learning H Kandath, J Senthilnath, S Sundaram 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1461-1465, 2018	10	2018
Dynamic Area Coverage for Multi-UAV using Distibuted UGVs : A Two-Stage Density Estimation Approach J Senthilnath, K Harikumar, S Sundaram Second IEEE International Conference on Robotic Computing, 165-166, 2018	9*	2018
Deep neuromorphic controller with dynamic topology for aerial robots BB Kocer, MA Hady, H Kandath, M Pratama, M Kovac 2021 IEEE International Conference on Robotics and Automation (ICRA), 110-116, 2021	8	2021
Hit-to-kill accurate minimum time continuous second-order sliding mode guidance for worst-case target maneuvers JV Puspnagathan, H Kandath, A Balakrishnan Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2020	8	2020
Robust simultaneously stabilizing decoupling output feedback controllers for unstable adversely coupled nano air vehicles JV Pushpangathan, H Kandath, S Sundaram, N Sundararajan IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (2), 1003-1013, 2020	8	2020
Design and Experimental Validation of a Robust Output Feedback Control for the Coupled Dynamics of a Micro Air Vehicle K Harikumar, S Dhall, S Bhat International Journal of Control, Automation and Systems 17 (1), 155-167, 2019	8	2019
Predictive optimal collision avoidance for a swarm of fixed-wing aircraft in 3D space I Khare, H Kandath, KM Krishna 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 1139-1145, 2022	7	2022
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	6	2023

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