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Journal articles on the topic 'Arm environment'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Choi, Isaac Yeoun-Gyu, and Hong-Bae Ann. "SPIRAL ARM MORPHOLOGY IN CLUSTER ENVIRONMENT." Journal of The Korean Astronomical Society 44, no. 5 (2011): 161–75. http://dx.doi.org/10.5303/jkas.2011.44.5.161.

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2

Vinaya, C. H., Vamsi Krishna Thanikanti, and Sudha Ramasamy. "Environment quality monitoring using ARM processor." IOP Conference Series: Materials Science and Engineering 263 (November 2017): 052020. http://dx.doi.org/10.1088/1757-899x/263/5/052020.

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3

Long, Ling, Ya Dong Shao, and Hai Shang Liu. "Solar-Powered Environment Monitoring System Based on ARM." Applied Mechanics and Materials 641-642 (September 2014): 1168–71. http://dx.doi.org/10.4028/www.scientific.net/amm.641-642.1168.

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In order to accurately obtain the real-time environment information, this paper introduces a solar energy environmental monitoring intelligent system, and gives the corresponding design of hardware and software flow. The system adopts solar energy to supply power, uses ARM as the core microprocessor, and acquires environment information by multiple sensors, so that system terminal displays the real-time monitoring information. This design not only enhances Security for people's work, life and travel, but also makes full use of solar energy to achieve a modern green life.

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thra, Pavi R., Shre P. eja, Sirisha MVK, and Varsh S. inee. "Gesture Control of Robotic Arm for Hazardous Environment." International Journal of Engineering Trends and Technology 57, no. 1 (2018): 18–22. http://dx.doi.org/10.14445/22315381/ijett-v57p204.

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Piron, Lamberto, Paolo Tonin, Francesco Piccione, Vincenzo Iaia, Elena Trivello, and Mauro Dam. "Virtual Environment Training Therapy for Arm Motor Rehabilitation." Presence: Teleoperators and Virtual Environments 14, no. 6 (2005): 732–40. http://dx.doi.org/10.1162/105474605775196580.

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Enhanced feedback provided by a virtual reality system has been shown to promote motor learning in normal subjects. We evaluated whether this approach could be useful for treating patients with motor deficits following brain lesions. Fifty subjects with mild to intermediate arm impairments due to stroke were selected for the study. The patients received treatment daily for one month, consisting of an hour of virtual-environment therapy with enhanced feedback. Before and after the therapy, we assessed the degree of motor impairment and autonomy in daily living activities using the Fugl-Meyer sc

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Ma, Liang, Ruina Ma, Damien Chablat, and Fouad Bennis. "Human arm simulation for interactive constrained environment design." International Journal on Interactive Design and Manufacturing (IJIDeM) 7, no. 1 (2012): 27–36. http://dx.doi.org/10.1007/s12008-012-0162-z.

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OSAKABE, Tatsuya, Tomohisa WATANABE, Susumu TARAO, and Tetsuo TOMIZAWA. "Building a Development Environment for a Dual-arm Cobot and Realizing Dual-Arm Movements." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2022 (2022): 1P1—D08. http://dx.doi.org/10.1299/jsmermd.2022.1p1-d08.

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Krutky, Matthew A., Vengateswaran J. Ravichandran, Randy D. Trumbower, and Eric J. Perreault. "Interactions Between Limb and Environmental Mechanics Influence Stretch Reflex Sensitivity in the Human Arm." Journal of Neurophysiology 103, no. 1 (2010): 429–40. http://dx.doi.org/10.1152/jn.00679.2009.

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Stretch reflexes contribute to arm impedance and longer-latency stretch reflexes exhibit increased sensitivity during interactions with compliant or unstable environments. This increased sensitivity is consistent with a regulation of arm impedance to compensate for decreased stability of the environment, but the specificity of this modulation has yet to be investigated. Many tasks, such as tool use, compromise arm stability along specific directions, and stretch reflexes tuned to those directions could present an efficient mechanism for regulating arm impedance in a task-appropriate manner. To

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Ban, Prasad, Shweta Desale, Revati Barge, and Pallavi Chavan. "Intelligent Robotic Arm." ITM Web of Conferences 32 (2020): 01005. http://dx.doi.org/10.1051/itmconf/20203201005.

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Regardless the abundance of technological robotic equipment’s present in the form of auto- mated Mechanical Robotic Arm, most of the citizens in India are not able to use those robots in their regular day to day life. This paper talks about the Intelligent robotic Arm (IRA) which is able to cook food dishes in an ordinary home environment. The robotic arm recognizes the utensils and ingredients required for the particular recipe. For object detection we have developed a system using OpenCV and Python which helps the robotic arm to recognize the correct ingredient and pick and drop it to approp

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Jain, Shreyansh Kumar, Mittapalli Monish, Neeraj Gupta, Shivam Kumar Raj, and Karpagavalli Subramanian. "Articulated Robot Arm for Garbage Disposal in Hospital Environment." ITM Web of Conferences 56 (2023): 01002. http://dx.doi.org/10.1051/itmconf/20235601002.

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The use of robotic arms is crucial in the medical industry, particularly in hospital settings. It can be used for a wide range of things, including as an aide in the operating room or for the removal of medical waste, among many other things. In this work, the robotic arm is designed to segregate medical waste as hazardous or non-hazardous. A dataset with five classes was created because there was no readily available data set for medical waste. The primary challenge in doing so is to programme the robotic arm’s movements and train the image dataset to classify objects as hazardous or non-haza

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Ziherl, Jaka, Janez Podobnik, Mario Sikic, and Marko Munih. "Pick to place trajectories in human arm training environment." Technology and Health Care 17, no. 4 (2009): 323–35. http://dx.doi.org/10.3233/thc-2009-0543.

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12

SUGAIWA, Taisuke, Hiroyasu IWATA, and Shigeki SUGANO. "Hand-Arm Coordinated Manipulation Using Active Body-Environment Contact." SICE Journal of Control, Measurement, and System Integration 2, no. 6 (2009): 348–56. http://dx.doi.org/10.9746/jcmsi.2.348.

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13

Kawai, Masatoshi, G. J. P. Savelsbergh, and R. H. Wimmers. "Newborns spontaneous arm movements are influenced by the environment." Early Human Development 54, no. 1 (1999): 15–27. http://dx.doi.org/10.1016/s0378-3782(98)00081-4.

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14

Burdetl, E., P. Merz, and C. Albani. "Coordination of arm movements in a complex visual environment." Journal of Biomechanics 27, no. 6 (1994): 722. http://dx.doi.org/10.1016/0021-9290(94)91118-5.

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15

Jang, Jinsoo, Changho Choi, Jaehyuk Lee, et al. "PrivateZone: Providing a Private Execution Environment Using ARM TrustZone." IEEE Transactions on Dependable and Secure Computing 15, no. 5 (2018): 797–810. http://dx.doi.org/10.1109/tdsc.2016.2622261.

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16

Yang, Zhiqiang, Hao Lu, Pengpeng Wang, and Shijie Guo. "Coordinating Obstacle Avoidance of a Redundant Dual-Arm Nursing-Care Robot." Bioengineering 11, no. 6 (2024): 550. http://dx.doi.org/10.3390/bioengineering11060550.

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Collision safety is an essential issue for dual-arm nursing-care robots. However, for coordinating operations, there is no suitable method to synchronously avoid collisions between two arms (self-collision) and collisions between an arm and the environment (environment-collision). Therefore, based on the self-motion characteristics of the dual-arm robot’s redundant arms, an improved motion controlling algorithm is proposed. This study introduces several key improvements to existing methods. Firstly, the volume of the robotic arms was modeled using a capsule-enveloping method to more accurately

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17

Bringoux, L., J. Blouin, T. Coyle, H. Ruget, and L. Mouchnino. "Effect of gravity-like torque on goal-directed arm movements in microgravity." Journal of Neurophysiology 107, no. 9 (2012): 2541–48. http://dx.doi.org/10.1152/jn.00364.2011.

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Gravitational force level is well-known to influence arm motor control. Specifically, hyper- or microgravity environments drastically change pointing accuracy and kinematics, particularly during initial exposure. These modifications are thought to partly reflect impairment in arm position sense. Here we investigated whether applying normogravitational constraints at joint level during microgravity episodes of parabolic flights could restore movement accuracy equivalent to that observed on Earth. Subjects with eyes closed performed arm reaching movements toward predefined sagittal angular posit

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18

Alnuaim, Sami. "Energy, Environment, and Social Development: The Technology Arm of Sustainability." Journal of Petroleum Technology 71, no. 03 (2019): 10–11. http://dx.doi.org/10.2118/0319-0010-jpt.

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19

Safaric, R., S. Sinjur, B. Zalik, and R. M. Parkin. "Control of robot arm with virtual environment via the internet." Proceedings of the IEEE 91, no. 3 (2003): 422–29. http://dx.doi.org/10.1109/jproc.2003.809205.

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20

Kawaji, S., T. Maeda, and N. Matsunaga. "Force Control of Robot Arm Using the Virtual Environment Model." IFAC Proceedings Volumes 26, no. 2 (1993): 535–40. http://dx.doi.org/10.1016/s1474-6670(17)48785-4.

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21

Huang, Qi-Xian, Min-Yi Chiu, Chi-Shen Yeh, and Hung-Min Sun. "STBEAT: Software Update on Trusted Environment Based on ARM TrustZone." Sustainability 14, no. 20 (2022): 13660. http://dx.doi.org/10.3390/su142013660.

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In recent years, since edge computing has become more and more popular, its security issues have become apparent and have received unprecedented attention. Thus, the current research concentrates on security not only regarding devices such as PCs, smartphones, tablets, and IoTs, but also the automobile industry. However, since attack vectors have become more sophisticated than ever, we cannot just protect the zone above the system software layer in a certain operating system, such as Linux, for example. In addition, the challenges in IoT devices, such as power consumption, performance efficien

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22

Kagami, Satoshi, James J. Kuffner, Koichi Nishiwaki, Kei Okada, Masayuki Inaba, and Hirochika Inoue. "Humanoid Arm Motion Planning Using Stereo Vision and RRT Search." Journal of Robotics and Mechatronics 15, no. 2 (2003): 200–207. http://dx.doi.org/10.20965/jrm.2003.p0200.

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This paper describes an experimental stereo vision based motion planning system for humanoid robots. The goal is to automatically generate arm trajectories that avoid obstacles in unknown environments from high-level task commands. Our system consists of three components: 1) environment sensing using stereo vision with disparity map generation and online consistency checking, 2) probabilistic mesh modeling in order to accumulate continuous vision input, and 3) motion planning for the robot arm using RRTs (Rapidly exploring Random Trees). We demonstrate results from experiments using an impleme

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23

Wang, Jiawen, Yudi Zou, Yaoyao Wei, Mengxi Nie, Tianlin Liu, and Dingsheng Luo. "Robot Arm Reaching Based on Inner Rehearsal." Biomimetics 8, no. 6 (2023): 491. http://dx.doi.org/10.3390/biomimetics8060491.

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Robot arm motion control is a fundamental aspect of robot capabilities, with arm reaching ability serving as the foundation for complex arm manipulation tasks. However, traditional inverse kinematics-based methods for robot arm reaching struggle to cope with the increasing complexity and diversity of robot environments, as they heavily rely on the accuracy of physical models. In this paper, we introduce an innovative approach to robot arm motion control, inspired by the cognitive mechanism of inner rehearsal observed in humans. The core concept revolves around the robot’s ability to predict or

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24

Dipali Ghatge, Pratham Patil, Atharva Algude, Shubhangi Chikane, and Atharv Dhotre. "Interactive Robotic Arm Simulation." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 06 (2024): 1665–68. http://dx.doi.org/10.47392/irjaeh.2024.0229.

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In the dynamic landscape of robotics and artificial intelligence, this research pioneers a groundbreaking fusion of simulation technology and advanced machine learning, specifically reinforcement learning, to enhance robotic arm capabilities. The focus centers on the utilization of a cutting-edge simulator, powered by the PyBullet physics engine, to faithfully replicate the intricate dynamics of a robotic arm within a digital environment. Serving as an experimental ground, the simulator enables the robotic arm to navigate, manipulate objects, and dynamically engage with its surroundings. Throu

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25

Lee, Dongchan. "Muscle Modeling between Upper Arm and Lower Arm for Wearable Haptic Sleeve for Force Feedback of Virtual Reality." Clinical Research and clinical Trials 10, no. 02 (2024): 01–08. http://dx.doi.org/10.31579/2693-4779/205.

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In the realm of virtual environments, hand haptic technology plays a crucial role in capturing the nuanced movements of a user’s hands and fingers. This is complemented by a haptic sleeve that bridges the gap between the arm and hand, effectively translating these movements into corresponding actions performed by a robot avatar within the virtual space. Furthermore, these innovative devices are adept at relaying the force and texture felt by the robot avatar as it interacts with objects in the virtual environment back to the user. This interaction crafts an immersive experience, mirroring the

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26

Tsagaris, Apostolos, Charalampos Polychroniadis, Anastasios Tzotzis, and Panagiotis Kyratsis. "Cost-effective Robotic Arm Simulation and System Verification." International Journal of Intelligent Systems and Applications 16, no. 2 (2024): 1–12. http://dx.doi.org/10.5815/ijisa.2024.02.01.

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In recent years, the utilization of virtual environments in industry 4.0 has witnessed significant growth, particularly in the design, implementation, and management of robotic systems. This paper addresses the need for enhanced control in robotic arms by presenting the design and implementation of a 5DoF robotic arm transformed into a digital platform through specialized software. The methods employed involve detailed direct and inverse kinematic modeling to replicate the physical arm in a digital environment. Our measurements indicate an impressive accuracy ranging from 97% to 100% in the mo

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27

Gascho, J. A., D. Gehman, and R. Brandt. "Effects of environmental temperature on the venodilatory response to nitroglycerin." Journal of Applied Physiology 71, no. 5 (1991): 1843–47. http://dx.doi.org/10.1152/jappl.1991.71.5.1843.

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The venodilatory response to nitroglycerin (0.8 mg sublingually) was measured in 10 healthy young male volunteers in a cool [24.3 +/- 0.6 degrees C skin temperature (Tsk)] and a warm environment (34.7 +/- 0.2 degrees C Tsk). Nitroglycerin caused mean arterial pressure to fall and heart rate to rise in both the cool (105 +/- 2 to 96 +/- 3 mmHg; 55 +/- 3 to 62 +/- 3 beats/min) and the warm environment (87 +/- 3 to 81 +/- 3 mmHg; 66 +/- 4 to 75 +/- 3 beats/min), but the fall in pressure was greater in the cool than in the warm environment. Forearm blood flow was reduced and forearm vascular resis

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28

Li, Qi, and Chengfeng Yu. "A Review of the Flexible Robotic Arm." Applied and Computational Engineering 8, no. 1 (2023): 292–97. http://dx.doi.org/10.54254/2755-2721/8/20230165.

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In the application of the robot, the gripper of the robot is an important medium between robot arm and target. The traditional manipulator hand is mostly rigid, which is easy to damage or unable to clamp the object in the operation process. What are demanded from robotics are no longer limited to just mechanical assistant, more efficient and precise target acquisition of robotics with self-adaptation and self-adjustment have become the tackle key in robot research and design. In this paper, the design of flexible materials, the AI real-time sensing and controlling of flexible manipulator are d

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Deng, Pengfei, Xiyin Liang, Peirong Pan, and Xu Pan. "Overview of System-Level Security Technologies based on ARM TrustZone." Frontiers in Computing and Intelligent Systems 4, no. 2 (2023): 99–103. http://dx.doi.org/10.54097/fcis.v4i2.10304.

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With the rapid development of embedded technology and the increasing complexity of system functionality, there is a growing need for a trusted computing environment to ensure the security, integrity, and reliability of sensitive information. Systems not only need to protect the security of sensitive application code but also ensure the isolation of their execution process to prevent attacks and data theft. Traditional system protection is achieved by using security mechanisms that run in the same address space and privilege level as the kernel. However, this approach is not sufficiently secure

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30

Angelidis, Georgios, and Loukas Bampis. "Gesture-Controlled Robotic Arm for Small Assembly Lines." Machines 13, no. 3 (2025): 182. https://doi.org/10.3390/machines13030182.

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In this study, we present a gesture-controlled robotic arm system for small assembly lines. Robotic arms are extensively used in industrial applications; however, they typically require special treatment and qualified personnel to set up and operate them. Towards this end, hand gestures can provide a natural way for human–robot interaction, providing a straightforward means for control without the need for significant training of the operators. Our goal is to develop a safe, low-cost, and user-friendly system for environments that often involve non-repetitive and custom automation processes, s

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PARK, Sejin, Byungsu PARK, Unsung LEE, and Chanik PARK. "Virtualizing Graphics Architecture of Android Mobile Platforms in KVM/ARM Environment." IEICE Transactions on Information and Systems E100.D, no. 7 (2017): 1403–15. http://dx.doi.org/10.1587/transinf.2016edp7435.

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32

Goršič, Maja, Imre Cikajlo, Nika Goljar, and Domen Novak. "A Multisession Evaluation of a Collaborative Virtual Environment for Arm Rehabilitation." PRESENCE: Virtual and Augmented Reality 27, no. 3 (2020): 274–86. http://dx.doi.org/10.1162/pres_a_00331.

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In recent years, several multi-user virtual environments (VEs) have been developed to promote motivation and exercise intensity in motor rehabilitation. While competitive VEs have been extensively evaluated, collaborative and competitive rehabilitation VEs have seen relatively little study. Therefore, this article presents an evaluation of a VE for post-stroke arm rehabilitation that mimics everyday kitchen tasks and can be used either solo or collaboratively. Twenty subacute stroke survivors exercised with the VE for four sessions, with the first and third sessions involving solo exercise and

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33

Bendahan, P., and P. Gorce. "Learning of the arm reach motion planning in an unstructured environment." Computer Methods in Biomechanics and Biomedical Engineering 8, sup1 (2005): 27–28. http://dx.doi.org/10.1080/10255840512331388092.

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34

Tsetserukou, Dzmitry, Naoki Kawakami, and Susumu Tachi. "iSoRA: Humanoid Robot Arm for Intelligent Haptic Interaction with the Environment." Advanced Robotics 23, no. 10 (2009): 1327–58. http://dx.doi.org/10.1163/156855309x462619.

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35

Dodds, G. I., G. W. Irwin, and A. M. S. Zalzala. "A high-performance multi-arm environment: path planning and practical implementation." Transactions of the Institute of Measurement and Control 16, no. 4 (1994): 193–202. http://dx.doi.org/10.1177/014233129401600403.

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36

Masumoto, Junya, and Nobuyuki Inui. "Visual and Proprioceptive Adaptation of Arm Position in a Virtual Environment." Journal of Motor Behavior 47, no. 6 (2015): 483–89. http://dx.doi.org/10.1080/00222895.2015.1015674.

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37

Saipullah, K. M., W. H. M. Saad, F. N. I. Ramlee, M. I. Idris, and M. A. F. M. Din. "Development of Delta Robot Arm Simulation in ROS2 Foxy Fitzroy Environment." Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 14, no. 2 (2022): 1–6. http://dx.doi.org/10.54554/jtec.2022.14.02.001.

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This work demonstrates the methodological steps to simulate a three-degree of freedom (DoF) delta robot arm in the Foxy Fitzroy version of Robot Operating System 2 (ROS2). The mechanical design of the delta robot was represented in the form of Simulation Description Format (SDF), translated from the customised Unified Robotic Description Format (URDF) file generated using SolidWorks to URDF Exporter after the designed mechanism had been finalised. It is necessary to use the SDF instead of URDF for delta robot simulation since this type of file format supports closed-loop linkages, one of the c

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38

He, Guo Hao. "ARM-Based Embedded Visual Processing System." Applied Mechanics and Materials 220-223 (November 2012): 1973–76. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1973.

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Embedded computer vision is a relatively new concept, it is only in the past few years that embedded devices have become fast enough and the component cost low enough that they can be used in small low power systems. In this paper, the design and development of a vision-based detection system with smart devices features is proposed. The main functionality of the equipment is introduced as well as the additional features it should provide to be integrated into a smart environment.

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Chen, Jiawei, Wei Ma, Hongsen Liao, et al. "Balancing Accuracy and Efficiency: The Status and Challenges of Agricultural Multi-Arm Harvesting Robot Research." Agronomy 14, no. 10 (2024): 2209. http://dx.doi.org/10.3390/agronomy14102209.

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As the global fruit growing area continues to increase and the population aging problem continues to intensify, fruit and vegetable production is constrained by the difficulties of labor shortages and high costs. Single-arm harvesting robots are inefficient, and in order to balance harvesting accuracy and efficiency, research on multi-arm harvesting robots has become a hot topic. This paper summarizes the performance of multi-arm harvesting robots in indoor and outdoor environments from the aspects of automatic navigation technology, fruit and vegetable identification and localization, multi-a

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Hu, Jian Ming, Xiao He Guo, and Guang Hui Li. "Crop Growth Environment Parameter Measurement and Control System Based on ARM Framework." Applied Mechanics and Materials 734 (February 2015): 242–46. http://dx.doi.org/10.4028/www.scientific.net/amm.734.242.

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Agricultural environment monitoring is the basic function of intelligent greenhouses, it broke through the geographical, environmental, and climate conditions on the influence of the crops, it is of great significance to the agricultural modernization and intelligentization, and promotes the development of agricultural advancement and intelligentization. Agricultural environment monitoring system based on ARM framework,PC S3C6410 is used as main control chip, running under WinCE environment, a good human-computer interface is provided; C8051F120 microcontroller as the core of its lowercompute,

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Kot, Tomáš, Zdenko Bobovský, Mathias Brandstötter, Václav Krys, Ivan Virgala, and Petr Novák. "Finding Optimal Manipulator Arm Shapes to Avoid Collisions in a Static Environment." Applied Sciences 11, no. 1 (2020): 64. http://dx.doi.org/10.3390/app11010064.

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In situations of a confined workplace with a lot of obstacles and a complicated required trajectory of the endpoint of an industrial or collaborative robot, it may be impossible to find a suitable robot and its position within the workplace to fulfill the given task. In some cases, it could be favorable to design a custom manipulator arm with an unusual kinematic structure or shapes of some of its links. This article presents a novel way of finding the optimal lengths and shapes of two crucial links of a manipulator arm, where the target lengths are as short as possible to reduce mass, and the

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Yu, Jiabin, Jiguang Wu, Jiping Xu, et al. "A Novel Planning and Tracking Approach for Mobile Robotic Arm in Obstacle Environment." Machines 12, no. 1 (2023): 19. http://dx.doi.org/10.3390/machines12010019.

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In this study, a novel planning and tracking approach is proposed for a mobile robotic arm to grab objects in an obstacle environment. First, we developed an improved APF-RRT* algorithm for the motion planning of a mobile robotic arm. This algorithm optimizes the selection of random tree nodes and smoothing the path. The invalid branch and the planning time are decreased by the artificial potential field, which is determined by the specific characteristics of obstacles. Second, a Fuzzy-DDPG-PID controller is established for the mobile robotic arm to track the planned path. The parameters of th

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K, Aishwarya, Priyadharshini J, and Rajeswari G. "Arduino Controlled Robotic Arm." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 1762–66. https://doi.org/10.31142/ijtsrd11512.

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The evolution of Internet of Things has been tremendous in today's generation. A Promising and challenging mission is the use of autonomous robot systems to automate tasks in the field of maintenance. Major concern of evolution in robotics involves reducing human burden. This project work addresses the critical environment where Human presence is mandatory due to its nature of demanding accuracy like bomb diffusion, Chemical and radiation containment etc. A promising and challenging mission is the use of autonomous robot system to automate task in the field of maintenance. Each device is u

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44

Mohd Hamzah, Muhammad Hamizan, Norashikin M. Thamrin, and Mazidah Tajjudin. "Robotic Arm Position Control using Mamdani Fuzzy Logic on Arduino Microcontroller." Journal of Mechanical Engineering 19, no. 3 (2022): 235–55. http://dx.doi.org/10.24191/jmeche.v19i3.19816.

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A robotic arm is the most often used robot in manufacturing to perform the same task accurately again and over again in a controlled environment. However, direct positioning control of the robotic arm is always inaccurate as it does not consider its position in the external environment. Therefore, this work implements the Mamdani fuzzy logic in the position control of the 6 DOF robotic arm to improve the accuracy and movement of each joint at this manipulator. The implemented fuzzy logic Mamdani inference system is done in MATLAB and finally converted to the C language to accommodate the main

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45

Okechukwu Stanley Ikwunze, kelechi Kingsley Igbokwe, and Victor Ikedichi Okparaku. "Codes application in trajectory generation of simulated robot arm dynamics." World Journal of Advanced Engineering Technology and Sciences 6, no. 1 (2022): 047–52. http://dx.doi.org/10.30574/wjaets.2022.6.1.0061.

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The robot arm used in this research had already been modelled and simulated using Simulink software (i.e. software environment) to yield a robot arm that will mimic the functionality and control of real human arm. The main objective is not to rebuild the robot arm to further enhance tasks performance by armless people in the society, rather to verify the significance of the code (program) application in trajectory generation of simulated robot arm or when simulating a robot arm. The common problem encountered with trajectory generation is to connect the initial configuration to a final configu

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Li, Yu Liang. "Movement Trajectory Tracking Method of Mechanical Arm." Applied Mechanics and Materials 644-650 (September 2014): 333–36. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.333.

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mechanical arm is an essential replaced tool in the operations under heavy, dangerous and harsh environment (such as nuclear radiation, toxic and hazardous, etc.), but also a key technical equipment in the development of the country. Mechanical arm motion system is a very complex time-varying, strong coupling, highly nonlinear system. This paper presents a model of the robot visual tracking. Through the computer vision track the mechanical arm motion process to make the mechanical arm movement to become more intelligent, more environmentally friendly. Experiments show that the method can compl

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Kokila, M., and G. Amalredge. "Mobile Robotic Arm for Opening Doors Using Proximal Policy Optimization." Data Analytics and Artificial Intelligence 3, no. 2 (2023): 107–12. http://dx.doi.org/10.46632/daai/3/2/20.

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Abstract:

The traditional robotic arm control method has strong dependence on the application scenario. To improve the reliability of the mobile robotic arm control when the scene is disturbed, this paper proposes a control method based on an improved proximal policy optimization algorithm. This study researches mobile robotic arms for opening doors. At first, the door handle position is obtained through an image-recognition method based on YOLOv5. Second, the simulation platform CoppeliaSim is used to realize the interaction between the robotic arm and the environment. Third, a control strategy based o

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Vignesh, Prabhakar*1 Karan Samani2 &. Ashirbad Sahu3. "VAOT-VIRTUALLY AIDED OCCUPATIONAL THERAPY: AN IMMERSIVE THERAPEUTIC ENVIRONMENT TO TREAT STROKE & ARM PARALYSIS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 8 (2018): 333–44. https://doi.org/10.5281/zenodo.1345629.

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This paper presents a  medical novelty in the field of occupational therapy . Patients diagnosed with stroke or partial paralysis of the arms can undergo therapy of the affected segment of the arm by incoporation of the arm movements in a much aesthetically sound , virtually simulated environment where the human models would be modelled using a 3D modelling platform with appropriate character rigging for associated movements and the posture estimation of the opacity points along the arms such as ball and socket joint , carpels , metacarpels etc  would be achieved through infrared sen

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Pascoa, Mauro, Mirtes Stancanelli, Thiago F. Lourenço, Virginia Tessarotto, Gil Guerra Junior, and Fernanda L. Lazarim. "Predictors of performance on world-level arm wrestlers." Journal of Human Sport and Exercise 19, no. 4 (2024): 1160–72. http://dx.doi.org/10.55860/v64tya36.

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This study aims to explore predictors of performance ascertaining the optimal body composition for world-level arm wrestlers in a competitive environment. Athletes underwent body composition assessments and their final competition classifications were noted. Athletes had a pairwise comparison percentile groups for relative fat mass (FM%), scattered by country, fat-free mass (FFM%) clustered by final classification, and comparison of the final classifications, grouped by country. A total of 220 elite, male competitors from 33 countries showed a mixed classification by country for FM% percentile

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Kutílek, Patrik, Jan Hýbl, Jakub Mareš, Vladimír Socha, and Pavel Smrčka. "A MYOELECTRIC PROSTHETIC ARM CONTROLLED BY A SENSOR-ACTUATOR LOOP." Acta Polytechnica 54, no. 3 (2014): 197–204. http://dx.doi.org/10.14311/ap.2014.54.0197.

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This paper describes new methods and systems designed for application in upper extremity prostheses. An artificial upper limb with this system is a robot arm controlled by EMG signals and a set of sensors. The new multi-sensor system is based on ultrasonic sensors, infrared sensors, Hall-effect sensors, a CO<sub>2</sub> sensor and a relative humidity sensor. The multi-sensor system is used to update a 3D map of objects in the robot’s environment, or it directly sends information about the environment to the control system of the myoelectric arm. Occupancy grid mapping is used to bu

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