By Dr Sreenatha Gopalarao Anavatti

Book Chapters

Dam T; Pratama M; Ferdaus MM; Anavatti S; Abbas H, 2023, 'Scalable Adversarial Online Continual Learning', in , pp. 373 - 389, http://dx.doi.org/10.1007/978-3-031-26409-2_23

Abpeikar S; Kasmarik K; Tran PV; Garratt M; Anavatti S; Khan M, 2022, 'Chapter 8 Tuning swarm behavior for environmental sensing tasks represented as coverage problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178, http://dx.doi.org/10.1016/b978-0-323-90508-4.00001-0

Liu J; Anavatti S; Garratt M; Abbass HA, 2021, 'Marriage in Honey Bees Optimization in Continuous Domains', in Handbook of AI-based Metaheuristics, CRC Press, pp. 43 - 72, http://dx.doi.org/10.1201/9781003162841-4

Fernandez Rojas R; Debie E; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Human Performance Operating Picture for Shepherding a Swarm of Autonomous Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 293 - 323, http://dx.doi.org/10.1007/978-3-030-60898-9_13

Liu J; Garratt M; Anavatti S; Abbass H, 2021, 'Mission Planning for Shepherding a Swarm of Uninhabited Aerial Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 87 - 114, http://dx.doi.org/10.1007/978-3-030-60898-9_5

Debie E; Fernandez Rojas R; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 267 - 292, http://dx.doi.org/10.1007/978-3-030-60898-9_12

Santoso F; Garratt M; Anavatti S; Wang J, 2021, 'Evolutionary aerial robotics: the human way of learning', in Unmanned Aerial Systems Theoretical Foundation and Applications, Academic Press, pp. 1 - 23, http://dx.doi.org/10.1016/B978-0-12-820276-0.00008-X

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2021, 'Modeling and control of a quadrotor unmanned aerial vehicle using type-2 fuzzy systems', in Koubaa A; Azar AT (ed.), Unmanned Aerial Systems Theoretical Foundation and Applications, Academic Press, pp. 25 - 46, http://dx.doi.org/10.1016/B978-0-12-820276-0.00009-1

Biswas S; Anavatti S; Garratt M, 2021, 'Path planning and task assignment for multiple UAVs in dynamic environments', in Unmanned Aerial Systems Theoretical Foundation and Applications, Academic Press, pp. 81 - 102, http://dx.doi.org/10.1016/B978-0-12-820276-0.00011-X

Santoso F; Garratt MA; Anavatti SG; Wang J, 2021, 'Evolutionary aerial robotics: the human way of learning', in Unmanned Aerial Systems: Theoretical Foundation and Applications, pp. 1 - 23, http://dx.doi.org/10.1016/b978-0-12-820276-0.00008-x

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2021, 'Modeling and control of a quadrotor unmanned aerial vehicle using type-2 fuzzy systems', in Unmanned Aerial Systems: Theoretical Foundation and Applications, pp. 25 - 46, http://dx.doi.org/10.1016/b978-0-12-820276-0.00009-1

Biswas S; Anavatti SG; Garratt MA, 2021, 'Path planning and task assignment for multiple UAVs in dynamic environments', in Unmanned Aerial Systems: Theoretical Foundation and Applications, pp. 81 - 102, http://dx.doi.org/10.1016/b978-0-12-820276-0.00011-x

Francis S; Anavatti SG; Garratt M; Abbass HA, 2021, 'Real-Time Multi-obstacle Detection and Tracking Using a Vision Sensor for Autonomous Vehicle', in Communication and Intelligent Systems, pp. 873 - 883, http://dx.doi.org/10.1007/978-981-16-1089-9_67

Abpeikar S; Kasmarik K; Tran P; Garratt M; Anavatti S; Khan M, 2021, 'Tuning Swarm Behaviour for Environmental Sensing Tasks Represented as Coverage Problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178, http://dx.doi.org/10.1016/B978-0-323-90508-4.00001-0

Santoso F; Garratt M; Anavatti S; Ferdaus M; Wang J; Tran V, 2020, 'Evolutionary Aerial Robotics: The Human Way of Learning', in Koubaa A; Azar AT (ed.), Unmanned Aerial Systems: Theoretical Foundation and Applications, Elsevier

Al-Mahasneh AJ; Anavatti S; Garratt M; Pratama M; Al-Mahasneh AJ, 2018, 'Applications of General Regression Neural Networks in Dynamic Systems', in Digital Systems, IntechOpen, pp. 133 - 154, http://dx.doi.org/10.5772/intechopen.80258

Hassanein O; Anavatti S; Ray T, 2018, 'Autonomous Underwater Vehicles', in Meng Joo E (ed.), Intelligent Marine and Aerial Vehicles: Theory and Applications, Nova Publishers, https://novapublishers.com/shop/intelligent-marine-and-aerial-vehicles-theory-and-applications/

Santoso F; Garratt M; Anavatti S, 2018, 'Fuzzy Systems for Modelling and Control in Aerial Robotics', in Er MJ; Wang N; Zhichao L; Pratama M (ed.), Intelligent Marine Vehicles Theory and Applications, Nova Science Publisher, New York, https://novapublishers.com/shop/intelligent-marine-and-aerial-vehicles-theory-and-applications/

Biswas S; Anavatti S; Garratt M, 2017, 'Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization', in Leu G; Singh HK; Elsayed S (ed.), Intelligent and Evolutionary Systems. Proceedings in Adaptation, Learning and Optimization 8, © Springer International Publishing, pp. 61 - 74, http://dx.doi.org/10.1007/978-3-319-49049-6_5

Anavatti SG; li C; ray T, 2016, 'A game-theoretic approach to the analysis of Traffic Assignment', in Intelligent and Evolutionary Systems The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings, Springer, pp. 17 - 30, http://dx.doi.org/10.1007/978-3-319-49049-6_2

Anavatti SG; ray T, 2016, 'A Game-Theoretic Approach to the Analysis of Traffic Assignment', in singh H (ed.), Intelligent and Evolutionary Systems The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings, Springer, pp. 17 - 30, http://dx.doi.org/10.1007/978-3-319-49049-6_2

Francis SLX; anavatti S; garratt M, 2013, 'Model based path planning module', in Sen Gupta G; Bailey D; Demidenko S; Carnegie D (ed.), Recent Advances in Robotics and automation, Springer-Verlag, Berlin Heidelberg, pp. 81 - 90, http://dx.doi.org/10.1007/978-3-642-37387-9_6

Hassanein O; Anavatti SG; Ray T, 2013, 'On-line adaptive fuzzy modeling and control for autonomous underwater vehicle', in Recent Advances in Robotics and Automation, Springer, Heidelberg, pp. 57 - 70, http://dx.doi.org/10.1007/978-3-642-37387-9_4

Anavatti SG, 2012, 'An Evolutionary Approach for the Design of Autonomous Underwater Vehicles', in , http://dx.doi.org/10.1007/978-3-642-35101-3_24

Anavatti SG; anavatti SG, 2007, 'Application of Extended Kalman Filter Towards UAV Identification', in , http://dx.doi.org/10.1007/978-3-540-73424-6_23

anavatti S, 2007, 'Comparative Analysis of Multiple Neural Networks for Online Identification of a UAV', in , http://link.springer.com/chapter/10.1007/978-3-540-76928-6_14

Edited Books

Anavatti S, (ed.), 2022, Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics, CRC Press, Taylor & Francis Group, http://dx.doi.org/10.1201/9781003132110

Journal articles

Ma'sum MA; Sarkar R; Pratama M; Ramasamy S; Anavatti S; Liu L; Habibullah ; Kowalczyk R, 2024, 'Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks', IEEE Transactions on Artificial Intelligence, http://dx.doi.org/10.1109/TAI.2024.3365775

Sarkar MR; Anavatti SG; Dam T; Ferdaus MM; Tahtali M; Ramasamy S; Pratama M, 2024, 'GATE: A guided approach for time series ensemble forecasting', Expert Systems with Applications, 235, http://dx.doi.org/10.1016/j.eswa.2023.121177

Bhat SS; Anavatti SG; Garratt M; Ravi S, 2024, 'Review of autonomous outdoor blimps and their applications', Drone Systems and Applications, 12, pp. 1 - 21, http://dx.doi.org/10.1139/dsa-2023-0052

Tran VP; Mabrok MA; Anavatti SG; Garratt MA; Petersen IR, 2024, 'Robust Adaptive Fuzzy Control for Second-Order Euler–Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2024.3365554

Nawreen F; Halder KK; Tahtali M; Anavatti SG, 2023, 'Stabilization of turbulence-degraded video using patch-based reference frame', OSA Continuum, 2, pp. 2484 - 2499, http://dx.doi.org/10.1364/OPTCON.497110

Mahima KTY; Perera A; Anavatti S; Garratt M, 2023, 'Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving', Sensors, 23, http://dx.doi.org/10.3390/s23239579

Tran VP; Perera A; Garratt MA; Kasmarik K; Anavatti SG, 2023, 'Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 12506 - 12522, http://dx.doi.org/10.1109/TITS.2023.3285624

Al-Mahasneh AJ; Anavatti SG, 2023, 'Novel General Regression Neural Networks for Improving Control Accuracy of Nonlinear MIMO Discrete-Time Systems', IEEE Transactions on Cybernetics, 53, pp. 6122 - 6132, http://dx.doi.org/10.1109/TCYB.2022.3158702

Tran VP; Mabrok MA; Anavatti SG; Garratt MA; Petersen IR, 2023, 'Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems', IEEE Transactions on Cybernetics, 53, pp. 5108 - 5120, http://dx.doi.org/10.1109/TCYB.2022.3175366

Al Kindhi B; Lasminto U; Triana MI; Damarnegara S; Anavatti SG, 2023, 'Sensor and internet of things based integrated inundation mitigation for smart city', International Journal of Electrical and Computer Engineering, 13, pp. 2695 - 2703, http://dx.doi.org/10.11591/ijece.v13i3.pp2695-2703

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2023, 'A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties', Robotics, 12, http://dx.doi.org/10.3390/robotics12020040

Tran VP; Garratt MA; Kasmarik K; Anavatti SG, 2023, 'Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments', IEEE/CAA Journal of Automatica Sinica, 10, pp. 646 - 661, http://dx.doi.org/10.1109/JAS.2023.123087

Tran VP; Garratt MA; Kasmarik K; Anavatti SG; Leong AS; Zamani M, 2023, 'Multi-gas source localization and mapping by flocking robots', Information Fusion, 91, pp. 665 - 680, http://dx.doi.org/10.1016/j.inffus.2022.11.001

Francis S; Anavatti S; Garratt M; Hassan O; Ali S, 2023, 'Dense Scene Flow Estimation with the GVF Snake Model for Obstacle Detection Using a 3D Sensor in the Path-Planning Module', International Journal on Smart Sensing and Intelligent Systems, 16, http://dx.doi.org/10.2478/ijssis-2023-0015

Dong X; Garratt MA; Anavatti SG; Abbass HA, 2022, 'MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 20134 - 20147, http://dx.doi.org/10.1109/TITS.2022.3179365

Dong X; Garratt MA; Anavatti SG; Abbass HA, 2022, 'Towards Real-Time Monocular Depth Estimation for Robotics: A Survey', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 16940 - 16961, http://dx.doi.org/10.1109/TITS.2022.3160741

Liu J; Anavatti S; Garratt M; Abbass HA, 2022, 'Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning', Expert Systems with Applications, 196, http://dx.doi.org/10.1016/j.eswa.2022.116605

Liu J; Anavatti S; Garratt M; Tan KC; Abbass HA, 2022, 'A survey, taxonomy and progress evaluation of three decades of swarm optimisation', Artificial Intelligence Review, 55, pp. 3607 - 3725, http://dx.doi.org/10.1007/s10462-021-10095-z

Liu J; Anavatti S; Garratt M; Abbass HA, 2022, 'Multi-operator continuous ant colony optimisation for real world problems', Swarm and Evolutionary Computation, 69, http://dx.doi.org/10.1016/j.swevo.2021.100984

Dam T; Anavatti SG; Abbass HA, 2022, 'Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification', IEEE Geoscience and Remote Sensing Letters, 19, http://dx.doi.org/10.1109/LGRS.2020.3041864

Al-Mahasneh AJ; Anavatti SG; Garratt MA, 2022, 'Online Model-Free Reinforcement Learning for Output Feedback Tracking Control of a Class of Discrete-Time Systems with Input Saturation', IEEE Access, 10, pp. 104966 - 104979, http://dx.doi.org/10.1109/ACCESS.2022.3210136

Tran P; Abpeikar S; Kasmarik K; Garratt M; Anavatti S, 2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', Swarm and Evolutionary Computation, 75, pp. 101171, http://dx.doi.org/10.1016/j.swevo.2022.101171

Dam T; Anavatti SG; Abbass HA, 2021, 'Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces', , http://arxiv.org/abs/2107.12706v2

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