Intelligent Furniture Placement using Reinforcement Learning

Authors

  • Aryan Parekh Student, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India Author
  • Soham Patil Student, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India Author
  • Yash Kulkarni Student, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India Author
  • Krish Panchal Student, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India Author
  • Prof. Rohini Nair Assistant Professor, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India Author

DOI:

https://doi.org/10.32628/CSEIT2511159

Keywords:

Reinforcement Learning (RL), Intelligent Agents, Reward function, Spatial optimization

Abstract

Designing a well-organized room layout plays a key role in making a space both practical and visually pleasing. However, deciding where to place each piece of furniture can be quite challenging, especially when dealing with many items. This project tackles that challenge by using reinforcement learning — a branch of artificial intelligence — to help find smart and efficient arrangements. We developed an intelligent agent that figures out how to place items like furniture in different room layouts. It learns by experimenting with various arrangements, receiving rewards for good decisions and penalties for less effective ones. Over time, through repeated trials, the agent identifies the optimal methods for arranging objects.

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References

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Published

21-07-2025

Issue

Section

Research Articles

How to Cite

[1]
Aryan Parekh, Soham Patil, Yash Kulkarni, Krish Panchal, and Prof. Rohini Nair, “Intelligent Furniture Placement using Reinforcement Learning”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 11, no. 4, pp. 224–231, Jul. 2025, doi: 10.32628/CSEIT2511159.