Linear manipulator: Motion control of an n-link robotic arm mounted on a mobile slider

Kumar, Sandeep A.; Chand, Ravinesh; Chand, Ronal P.; Sharma, Bibhya N.

doi:10.1016/j.heliyon.2023.e12867

Cited by 12 publications

(9 citation statements)

References 56 publications

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“…In [ 121 ], Sandeep worked with linear manipulator systems that have the ability to be reprogrammed to adapt to product changes and are flexible to meet unique requirements. These types of systems have a much higher accuracy, making them suitable for simple and repetitive tasks.…”

Section: Autonomous Manipulatormentioning

confidence: 99%

Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

Misaros

Stan

Donca

et al. 2023

Sensors

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It has been almost half a century since the first interest in autonomous robots was shown, and research is still continuing to improve their ability to make perfectly conscious decisions from a user safety point of view. These autonomous robots are now at a fairly advanced level, which means that their adoption rate in social environments is also increasing. This article reviews the current state of development of this technology and highlights the evolution of interest in it. We analyze and discuss specific areas of its use, for example, its functionality and current level of development. Finally, challenges related to the current level of research and new methods that are still being developed for the wider adoption of these autonomous robots are highlighted.

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Section: Autonomous Manipulatormentioning

confidence: 99%

Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

Misaros

Stan

Donca

et al. 2023

Sensors

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“…When conducting motion dynamics analysis for a robotic arm, the process is rooted in classical mechanics, particularly the study of forces and motion of rigid bodies. While the kinetic analysis of mechatronic assembly holds energy responsible for motion, the kinematic / motion dynamics is essential to recognize the forces acting upon the assembly [27]. The study is divided into two main areas: forward dynamics and inverse dynamics.…”

Section: Motion Dynamicsmentioning

confidence: 99%

MIG-Assisted Kernel-enabled Robot (MAKER) Arm for Seamless Automobile Maintenance and Service

Wang,

Korlam,

Reddy

et al. 2023

Int. J. Robot. Autom. Technol.

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There is a definitive increase of excellence in the field of robotic automation, with automated vehicles that can drive people anywhere to automated robots that can perform high-risk surgeries remotely. Robotic automation was initiated as an industrial-grade asset capable of performing complex tasks and replacing humans limited by fatigue. With the advent and rise of Industry Revolution 4.0 (IR 4.0), in the modern world, one of the major markets that IR 4.0 occupies is the automobile industry. The automobile industry heavily employs robotic technology for vehicle manufacturing and assembly, yet post-sale servicing and maintenance remain predominantly manual. This discrepancy results in a gap in the efficient and timely maintenance of vehicles once they’re in the hands of customers. According to a report of Allied Market Research [1], the expected Compound Annual Growth Rate (CAGR) of the global automobile repair and service market from 2022 - 2031 is expected at 7.6%, corresponding to 1,656.21 billion US dollars by 2031. This establishes the scale of the market that the proposed solution is going to be primarily based on. This paper proposes a MIG-based solution for providing welding service to damaged and sheared automobiles, thus reducing the stated discrepancy. The proposed solution creates a kernel environment where the twin-headed robotic arm can assess its surroundings and perform appropriate action from its operation pool using Reinforcement Learning and Machine Learning. The twin-headed robotic arm holds a torch and lead (Al) on the heads to perform the desired operations. This innovative approach is equipped with advanced sensors and programming to accurately detect, diagnose, and service vehicles by leveraging On Board Diagnostic (OBD) systems. This study delves into the theoretical and technical complexities of building an automated welder that explores the practical application of robotic technology in the automobile aftermarket. Notably, this technology promises improved accuracy, consistency, and timeliness in car maintenance, significantly reducing human error, improving service times, increasing productivity, and inducing economic growth.

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“…RM refers to a robotic arm system that has an excess of DoF (degrees of freedom) beyond the minimum required to manipulate the end-effectors within the workspace [14] , [15] . Due to these additional DoFs, some difficult tasks for RMs, e.g., joint physical limitation avoidance [16] , OA (obstacles avoidance) [17] , cyclic motion planning control [18] , and fault tolerance [19] , can be completed with the RMs.…”

Section: Introductionmentioning

confidence: 99%

“…Certainly, this approach restricts the performance of RMs in unpredictable environments. More innovative alternatives have concentrated on position-tier, velocity-tier, acceleration-tier, and jerk-tier for the manipulator in the constraints of multiple goals, including the criteria for OA [17] , [28] , [29] , [15] . Among these alternative investigations, the constraints, e.g., physical limitations or OA, are abstracted as corresponding equations/inequations.…”

Section: Introductionmentioning

confidence: 99%