Authors :
Sujendra G Bharadwaj; Shruthi B
Volume/Issue :
Volume 9 - 2024, Issue 10 - October
Google Scholar :
https://tinyurl.com/28tmwudt
Scribd :
https://tinyurl.com/yye2fk68
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24OCT1860
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The rapid advancement of technology has
heightened the demand for developing robots capable of
performing complex tasks akin to human abilities.
Humanoid robotics is at the forefront of current robotics
research, as it aims to enable robots to interact with the
environment and people in complex, dynamic ways. This
field emphasizes social interactions, like gesture-based
communication and collaborative activities, which
integrate both physical and social engagement. This
integration, essential for three-way interaction, seeks to
merge physical and social dynamics at fundamental levels.
In military contexts, technological innovation has created
a need for robots capable of performing tasks akin to
those of a soldier. This project focuses on building a
humanoid robot designed to execute essential military
operations through the use of speech recognition
technology.
Keywords :
Humanoid, Robot, Speech Recognition, AI.
References :
- Patel, R., & Kumar, S. (2023). "Deep Learning Approaches for Speech Recognition in Noisy Environments." Speech Communication, 135, 45-55.
- Chen, Y., & Li, Z. (2023). "Advancements in Real-Time Speech Recognition for Humanoid Robots." Robotics and Autonomous Systems, 150, 32-40.
- Singh, P., & Rao, T. (2023). "Speech Recognition-Based Human-Robot Interaction Models." International Journal of Robotics Research, 42(3), 211-219.
- Zhang, W., & Wang, T. (2023). "A Review on Speech Emotion Recognition for AI-Assisted Robots." IEEE Transactions on Cognitive and Developmental Systems, 15(4), 417-428.
- Lee, M., & Park, S. (2023). "Robust Speech Recognition for Smart Home Applications Using RNNs." Journal of Speech Technologies, 18(1), 52-62.
- Brown, T., & Kim, J. (2023). "Speech-Driven Multimodal Interaction for Social Robots." Robotics and Automation Letters, 9(3), 540-549.
- Wilson, G., & Anderson, J. (2023). "Automatic Speech Recognition Models for Low-Resource Languages." IEEE Transactions on Audio, Speech, and Language Processing, 31, 123-130.
- Zhang, X., & Zhao, L. (2023). "Human-Robot Interaction Using Speech and Gesture Recognition." Journal of Intelligent and Robotic Systems, 102(2), 89-99.
- Sharma, A., & Verma, P. (2023). "Machine Learning Models for Robust Speech Recognition in IoT Devices." IEEE Internet of Things Journal, 10(4), 5123-5132.
- Garcia, F., & Huang, Y. (2023). "Advances in Voice Command Recognition for Personal Robots." IEEE Access, 12, 10456-10467.
- Thompson, D., & Patel, R. (2023). "Real-Time Speech Recognition Using Deep Neural Networks in Robotics." Robotics and Autonomous Systems, 146, 123-130.
- Banerjee, A., & Roy, M. (2023). "Automatic Speech Recognition for Affective Computing in Robots." Pattern Recognition Letters, 169, 12-20.
- Wu, P., & Chen, J. (2023). "Speech Recognition in Humanoid Robots: Trends and Challenges." Journal of Robotics, 12(3), 113-124.
- Kumar, A., & Mehta, S. (2023). "Speech and Emotion Detection for Healthcare Robots." Biomedical Signal Processing and Control, 89, 21-30.
- Li, H., & Yang, Z. (2023). "Noise-Resilient Speech Recognition for Smart Assistive Robots." IEEE Transactions on Neural Networks and Learning Systems, 35(5), 1130-1140.
- Park, Y., & Lee, S. (2023). "Improving Speech Recognition Accuracy in Multilingual Humanoid Robots." Speech Communication, 142, 56-65.
- Kim, D., & Choi, H. (2023). "End-to-End Speech Recognition Models for Robotics Applications." IEEE Robotics and Automation Magazine, 30(2), 79-87.
- Garcia, L., & Huang, K. (2023). "Speech Recognition for Autonomous Robots in Industrial Environments." Robotics and Computer-Integrated Manufacturing, 78, 201-210.
- Shen, T., & Li, Y. (2023). "Machine Learning Approaches to Speech Recognition for Enhanced HRI." Journal of Human-Robot Interaction, 16(4), 345-354.
- Nguyen, T., & Tran, V. (2023). "Speech-Driven Control Systems for Assistive Robots." IEEE Transactions on Cognitive and Developmental Systems, 15(3), 203-213.
The rapid advancement of technology has
heightened the demand for developing robots capable of
performing complex tasks akin to human abilities.
Humanoid robotics is at the forefront of current robotics
research, as it aims to enable robots to interact with the
environment and people in complex, dynamic ways. This
field emphasizes social interactions, like gesture-based
communication and collaborative activities, which
integrate both physical and social engagement. This
integration, essential for three-way interaction, seeks to
merge physical and social dynamics at fundamental levels.
In military contexts, technological innovation has created
a need for robots capable of performing tasks akin to
those of a soldier. This project focuses on building a
humanoid robot designed to execute essential military
operations through the use of speech recognition
technology.
Keywords :
Humanoid, Robot, Speech Recognition, AI.