Results 91 to 100 of about 10,148,814 (307)
IEEE AccessAdaptive cruise control is a system that maintains an appropriate distance from vehicles ahead while driving. Although Adaptive cruise control systems operate stably on flat roads, they can become unstable on sloped roads. This study presents a method to
Kang-Hyeon Choi, Hyuk-Jun Chang
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Advanced Photonics Research, Volume 6, Issue 5, May 2025.Microfabrication using nano‐ to micron‐sized blocks has transformative potential for next‐gen electronics, optoelectronics, and materials. Traditional methods are limited by scalability and precision. STIC, a single‐laser system for precise colloid manipulation and immobilization using femtosecond lasers, is introduced that enables efficient 3D ...
Krishangi Krishna +4 more
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Measurement + Control, 2019 To improve surplus torque suppression and loading performance of electric load simulators, this paper presents a loading control strategy based on the new mapping approach and fuzzy inference scheme in the fuzzy Cerebellar Model Articulation Controller ...
Bo Yang, Fuhuang Liu, Meng Zhang
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Adaptive fuzzy total sliding-mode control of unknown nonlinear systems
, 2013 This paper proposes the adaptive fuzzy total sliding-mode control systems with integral (I-AFTSMC) and proportional-integral (PI-AFTSMC) learning algorithms for the unknown nonlinear systems.
Lin, Chih-Min; Hsu, Chun-Fei; Chen, Te-Yu
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Implementation Of Various Types Of Fuzzy Controls On A Mobile Robot Using Sonar Sensors [QA9.64. N438 2008 f rb]. [PDF]
, 2008 Dalam penyelidikan ini, sebuah robot bergerak telah digunakan untuk mengimplementasikan kawalan fuzzy jenis ‘Non-Singleton Type-2’ untuk kawalan pergerakan pengemudian dan tepian dinding dengan bantuan penderia sonar.
Neoh, Hock Seng
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TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Fuzzy balancing control of a small-size humanoid robot based on accelerometer
, 2012 A fuzzy balancing control method is proposed and implemented on a small-size humanoid robot named TWNHR-IV in this paper. The robot TWNHR-IV is able to stand and balance on an inclined plane by the proposed method.
Wong, Ching-Chang +1 more
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EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR [PDF]
, 2009 Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Q-learning holding continuous action and state. This learning has been implemented in various robot learning application like obstacle avoidance and target ...
Anam, Khairul
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Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
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A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator
Archives of Control Sciences, 2016 This paper present a new fuzzy iterative learning control design to solve the trajectory tracking problem and performing repetitive tasks for rigid robot manipulators.
Wang Meng, Bian Guangrong, Li Hongsheng
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