Vellore Institute of Technology University
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Papers
417
Total Citations
9,192
H-Index
42
Researchers
657
About
Vellore Institute of Technology (VIT) University has established itself as one of India's most dynamic research institutions, with a broad and impactful portfolio spanning robotics, artificial intelligence, healthcare technology, and next-generation industrial systems. With researchers producing work that has garnered thousands of citations globally, VIT has positioned itself at the forefront of emerging technological paradigms, making it an attractive destination for ambitious students and forward-thinking collaborators alike. VIT's research profile is perhaps best defined by its pioneering contributions to Industry 5.0 and its intersection with healthcare—their 2021 survey on Industry 5.0 enabling technologies has accumulated over 1,750 citations, signaling the institution's capacity to set global research agendas. Complementing this, their work on metaverse applications in healthcare and the convergence of federated learning with Industrial IoT demonstrates a sophisticated understanding of how distributed intelligence and immersive technologies are reshaping human-centered industries. In robotics and autonomous systems, VIT researchers have made meaningful advances in mobile robot navigation using modified artificial potential field algorithms, deep reinforcement learning-based path planning, and RRT*-based motion planning for autonomous vehicles. Their work on myoelectric prosthetic control and evolutionary multi-criteria gripper design reflects longstanding expertise in assistive and industrial robotics. The institution also distinguishes itself through strong contributions to human-machine interaction, including EEG-based emotion recognition using CNN-LSTM ensembles, multilingual speech emotion detection for service robots, and adaptive semantic segmentation for autonomous navigation in adverse conditions. VIT's interdisciplinary strength, spanning agricultural robotics, 6G-driven healthcare frameworks, and AI-powered e-waste management, reflects an institution deeply committed to applying cutting-edge research to real-world challenges, offering collaborators a versatile and globally engaged research community.
Research Focus
Key Achievements
Top Papers
- 1Industry 5.0: A survey on enabling technologies and potential applications1,756 citations · 2021
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- 3Myoelectric control of prosthetic hands: state-of-the-art review338 citations · 2016
- 4Fusion of Federated Learning and Industrial Internet of Things: A survey284 citations · 2022
- 5
- 6AdapNet: Adaptive semantic segmentation in adverse environmental conditions197 citations · 2017
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- 9A Systematic Study on Reinforcement Learning Based Applications139 citations · 2023
- 10Cross corpus multi-lingual speech emotion recognition using ensemble learning138 citations · 2021
Faculty & Researchers
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