Bidirectional swarm search method for autonomous path planning / by Md. Fadil Md. Esa, 1978- author, Noorfa Haszlinna Mustaffa, Fakulti Komputeran

Development of an autonomous crop inspection mobile robot system / by Mohd. Saiful Azimi Mahmud, 1992- , author, Mohamad Shukri Zainal Abidin, Fakulti Kejuruteraan Elektrik

Development of solar cell for autonomous sensor network system / by Boon, Chin Yap, 1991-, Satoru Matsumoto, supervisor, Institut Teknologi Antarabangsa Malaysia-Jepun

Autonomous smooth movement line following mobile robot / by 352661 Shamsul Faisal Mohd. Hussein

Clinical Autonomic Dysfunction : Measurement, Indications, Therapies, and Outcomes / by Colombo, Joseph author 631884, Arora, Rohit author 631885, DePace, Nicholas L. author 631886, Vinik, Aaron I. author 631887, SpringerLink (Online service)

Subjects: “…Autonomic nervous system…”
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Smart Transportation : AI Enabled Mobility and Autonomous Driving / by Dartmann, Guido, 1980-, editor 642173, Schmeink, Anke, editor 642174, Lücken, Volker, editor 642175, Song, Houbing, editor 618294, Ziefle, Martina, editor 642176, Prestifilippo, Giovanni, editor 642179

“…In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. Finally, the book concludes with human factors and social questions of future mobility concepts. …”

Time-Critical Cooperative Control of Autonomous Air Vehicles / by Kaminer, Isaac, author 649748, Pascoal, António M., author 649749, Xargay, Enric, author 649750, Hovakimyan, Naira, author 649751, Cichella, Venanzio, author 649752, Dobrokhodov, Vladimir, author 649753, ScienceDirect (Online service) 7722

“…Time-Critical Cooperative Control of Autonomous Air Vehicles presents, in an easy-to-read style, the latest research conducted in the industry, while also introducing a set of novel ideas that illuminate a new approach to problem-solving. …”
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Robotic Systems and Autonomous Platforms : Advances in Materials and Manufacturing / by Walsh, Shawn M., editor 649492, Strano, Michael S., editor 649493, ScienceDirect (Online service) 7722

“…Robotic Systems and Autonomous Platforms: Advances in Materials and Manufacturing showcases new materials and manufacturing methodologies for the enhancement of robotic and autonomous systems. …”
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HUMAN-LIKE DECISION MAKING AND CONTROL FOR AUTONOMOUS DRIVING / by Hang, Peng, author, Lv, Chen, author 650750, Chen, Xinbo, author

Autonomous robots : from biological inspiration to implementation and control / by Bekey, George A., 1928-

Subjects: “…Autonomous robots…”

Autonomous rock excavation : intelligent control techniques and experimentation / by 391934 Shi, Xiaobo, Lever, Paul J. A., Wang, Fei-Yue

Proposing 5S and autonomous maintenance to reduce maintenance cost / by 280736 Mohd. Hussin Ali

Autonomous Mobile Robot Localization using Kalman Filter by Nabil Zhafri, Mohd Nasir, Muhammad Aizzat, Zakaria, Saifudin, Razali, Mohd Yazid, Abu

“…Autonomous mobile robot field has gain interest among researchers in recent years. …”
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Autonomous self-exam monitoring for early diabetes detection by Rohana, Abdul Karim, Nur Alia Fatiha, Azhar, Nurul Wahidah, Arshad, Nor Farizan, Zakaria, M. Zabri, Abu Bakar

“…Insufficient number of physicians tasked to treat a large number of patients will increase their burdens and also make them more stressed. An autonomous self-exam monitoring is developed in order to assist the physicians in identifying diabetes at the early stage. …”
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Landmark detection for vision based of autonomous guided vehicle by Nurul Atiqah Syazwani, Kamarudin

“…The creation of Autonomous Guided Vehicle (AGV) gives many advantages in our lives. …”
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Development of controller for an underactuated autonomous underwater vehicle (AUV) by Mat-Noh, Maziyah, Zain, Zainah Md, Abd Ghani, N. M., Abdul Wahab, Yasmin, Razali, Akhtar Razul

“…The autonomous underwater glider (AUG) demonstrates highly nonlinear and complexity in its dynamic model and also coupled with external underwater environment and disturbance. …”
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Underactuated control for an autonomous underwater vehicle with four thrusters by Zainah, Md. Zain

“…The control of Autonomous Underwater Vehicles (AIJVs) is a very challenging task because the model of AUV system has nonlinearities and time-variance,and there are uncertain external disturbances and difficulties in hydrodynamic modeling.The problem of AUV control continues to pose considerable challenges to system designers,especially when the vehicles are underactuated (defined as systems with more degrees-of-freedom(DOFs) than the number of inputs) and exhibit large parameter uncertainties.Hence the dynamical equations of the AUV exhibit so-called second-order nonholonomic constraints,i.e., non-integrable conditions are imposed on the acceleration in one or more DOFs because the AUV lacks capability to command instantaneous accelerations in these directions of the configuration space.Such a nonholonomic system cannot be stabilized by the usual smooth,time-invariant,state feedback control algorithms.From a conceptual standpoint,the problem is quite rich and the tools used to solve it must necessarily be borrowed from solid nonlinear control theory.However,the interest in this type of problem goes well beyond the theoretical aspects because it is well rooted in practical applications that constitute the core of new and exciting underwater mission scenarios.The problem of steering an underactuated AUV to a point with a desired orientation has only recently received special attention in the literature and references therein.This task raises some challenging questions in system control theory because,in addition to being underactuated,the vehicle exhibits complex hydrodynamic effects that must necessarily be taken into account during the controller design phase.Therefore, researchers attempted to design a steering system for the AUV that would rely on its kinematic equations only.In this research, an X4-AUV is modelled as a slender, axisymmetric rigid body whose mass equals the mass of the fluid which it displaces;thus,the vehicle is neutrally buoyant.X4-AUV equipped with four thrusters has 6-DOFs in motion, falls in an underactuated system and also has nonholonomic features.Modelling of ATJV maneuverability first involved the mathematical computation of the rigid body's kinematics,in which roll-pitch-yaw angles in 6-DOFs kinematics are used.We also derive the dynamics model of an X4-AUV with four thrusters using a Lagrange approach, where the modelling includes the consideration of the effect of added mass and inertia.We present a point-to-point control strategy for stabilizing control of an X4-AUV which is not linearly controllable.The goal in point-to-point control is to bring a system from any initial state of the system to a desired state of the system.The construction of stabilizing control for this system is often further complicated by the presence of a drift term in the differential equation describing it dynamically. …”
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Lane detection in autonomous vehicles : A systematic review by Noor Jannah, Zakaria, Mohd Ibrahim, Shapiai, Rasli, Abd Ghani, Mohd Najib, Mohd Yassin, Mohd Zamri, Ibrahim, Nurbaiti, Wahid

“…One of the essential systems in autonomous vehicles for ensuring a secure circumstance for drivers and passengers is the Advanced Driver Assistance System (ADAS). …”
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Advancements, challenges, and implications for navigating the autonomous vehicle revolution by Hossain, Md Naeem, Rahman, M. M., Ramasamy, Devarajan, Kadirgama, Kumaran, Noor, M. M.

“…These advancements are critical to evolving and incorporating autonomous vehicles into the transportation ecosystem. …”
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Evaluation of the autonomic nervous system in patients with essential tremor by Mahmoud H. Nassar, Elsayed A. Tageldin, Osama A. Ragab

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