EXOSKELETON ROBOTIC ARM FOR WEIGHT BEARING

May 2024
Vol-10, Issue-3
Paper ID: 23669
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
BIOMEDICAL ENGINEERING
Keywords
Exoskeleton Robotic arm X Y Z axis sensors Actuators Precision motors
Abstract
This project focuses on designing an innovative exoskeleton hand for weight lifting applications, aiming to overcome current limitations in wearable robotics. This robotic arm assists with people affected from diseases muscular dystrophy, myasthenia gravis, multiple sclerosis and spinal cord compression etc. The design prioritizes durability, weight optimization, and user comfort for extended use. Precision motors seamlessly synchronize with the user's movements, providing augmented power while maintaining natural hand kinematics. An adaptable activator system allows users to transition between powered assistance and manual control, accommodating various tasks and load requirements. Rigorous testing ensures the exoskeleton hand's robust load-bearing capacity across different weights and dynamic scenarios. The intuitive user interface empowers users to customize assistance levels based on their preferences. Safety features and ergonomic considerations prioritize user well-being during extended use. Real-world application testing with individuals in physically demanding activities evaluates practical utility, providing insights for potential refinements. In addition to the mentioned features, this innovative exoskeleton hand utilizes X, Y, and Z-axis sensors fixed within the human hand to precisely record movement data during weight lifting tasks. This data is stored in the system for further analysis of hand performance. Additionally, the exoskeleton hand incorporates serial communication capabilities, enabling seamless interaction with external devices or systems for enhanced functionality and control. This project envisions advancing wearable robotics, particularly in weight lifting, with potential applications in manufacturing, construction, rehabilitation, and assistive technologies.

Author Information

# Name Institute / Affiliation
1 JANANI PRIYA R P ADHIYAMAAN COLLEGE OF ENGINEERING
2 SELVA SHERIN T ADHIYAMAAN COLLEGE OF ENGINEERING
3 SNEHA M ADHIYAMAAN COLLEGE OF ENGINEERING

How to Cite

Use the following formats to cite this article in your research.

APA Style
P, JANANI PRIYA R, T, SELVA SHERIN, & M, SNEHA (2024). EXOSKELETON ROBOTIC ARM FOR WEIGHT BEARING. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 537-544.
MLA Style
P, JANANI PRIYA R, et al. "EXOSKELETON ROBOTIC ARM FOR WEIGHT BEARING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 537-544.
IEEE Style
JANANI PRIYA R P, SELVA SHERIN T, and SNEHA M, "EXOSKELETON ROBOTIC ARM FOR WEIGHT BEARING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 537-544, 2024.
Vancouver Style
P JANANI PRIYA R, T SELVA SHERIN, M SNEHA. EXOSKELETON ROBOTIC ARM FOR WEIGHT BEARING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):537-544.
Harvard Style
P, JANANI PRIYA R, T, SELVA SHERIN, & M, SNEHA (2024) 'EXOSKELETON ROBOTIC ARM FOR WEIGHT BEARING', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 537-544.
Chicago Style
P, JANANI PRIYA R, SELVA SHERIN T, and SNEHA M. "EXOSKELETON ROBOTIC ARM FOR WEIGHT BEARING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 537-544.
Turabian Style
P, JANANI PRIYA R, SELVA SHERIN T, and SNEHA M. "EXOSKELETON ROBOTIC ARM FOR WEIGHT BEARING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 537-544.

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