• Vinay Kumar Nim
• Himanshu Arora

Recently robotic manipulators have gained tremendous applications over variety of engineering and science fields. The main agenda of utilizing robotic manipulators is to decrease the human effort and simplify complex operations, like operating via tight narrow channel and inspecting sewage pipes for obstructions. Robot control is one of the fields where substantial research is being carried out focusing on achieving higher levels of autonomy in robot activity. The IK of redundant serial manipulators faces numerous possible constraints, such as singularities, making accurate tracking in complex environments. All these can be overcome by neural networks which possess high control precision and system robustness which are regarded as a reliable tool for instantaneous analysis adopted in numerous control systems. Neural networks are now a popular topic of discussion in manipulator control research, and a variety of related schemes and approaches have been addressed and researched. The purpose of the paper offers a quick survey on recent advances of serial manipulators control using neural networks. Further potential directions on this topic are identified and discussed.

Redundancy, redundant manipulator, redundancy resolution, neural networks.

"Serial redundant manipulator control scheme via neural networks: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g599-g607, April-2022, Available :http://www.jetir.org/papers/JETIR2204687.pdf

"Serial redundant manipulator control scheme via neural networks: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg599-g607, April-2022, Available at : http://www.jetir.org/papers/JETIR2204687.pdf