Prajval Kumar Murali
BMW (Germany), University of Genoa, University of Glasgow, BMW Group (Germany), Italian Institute of Technology
Papers
12
Total Citations
339
H-Index
8
About
Prajval Kumar Murali is a leading researcher at the intersection of autonomous systems, human-robot interaction, and multi-modal perception. His work centers on developing intelligent frameworks that enable robots to perceive and interact with complex, unstructured environments through the fusion of vision and touch. Murali’s most impactful contribution is his pioneering work on active visuo-tactile perception, where he has created novel methods for accurate object pose estimation in dense clutter—a fundamental challenge for robotic manipulation. His highly cited 2021 paper on "Intelligent In-Vehicle Interaction Technologies" (169 citations) explores how autonomous vehicles can enhance user experience and trust through advanced human-vehicle interfaces. Murali has also introduced groundbreaking deep learning architectures, such as the xAVTNet for cross-modal visuo-tactile object recognition, and the ACTOR framework for reconstructing transparent objects using tactile sensing. His work on flexible human-robot collaboration models, validated in manufacturing environments, demonstrates the practical impact of his research. With over 300 total citations, Murali’s contributions are shaping the future of autonomous robotics, from industrial automation to intelligent vehicle interiors, making him a key figure in advancing how machines perceive and interact with the physical world.
Research Focus
Key Achievements
Top Papers
- 1Intelligent In‐Vehicle Interaction Technologies169 citations · 2021
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- 9A Flexible Software Architecture for Robotic Industrial Applications7 citations · 2020
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