Papers
13
Total Citations
79
H-Index
6
About
Razali Tomari is a leading researcher in socially aware robotic navigation and assistive mobility systems. His primary research focuses on developing intelligent wheelchair systems that can navigate human-shared environments in a socially acceptable manner—a critical challenge often overlooked in traditional safety-centric designs. Tomari pioneered the use of head cue information, including multi-view head detection and tracking, to enable wheelchairs to interpret human intent and navigate without causing discomfort. His foundational papers on socially acceptable smart wheelchair navigation (2014, 11 citations) and multi-view head tracking (2011, 9 citations) have shaped the field, with his empirical framework for autonomous wheelchair systems (2012, 9 citations) providing a blueprint for safe, human-aware navigation. Extending his expertise, Tomari has also contributed to autonomous surface vehicle navigation using ROS-based SLAM and path planning (2022, 8 citations), as well as innovative robot-robot interaction for conversational AI aesthetics (2021, 7 citations). His recent work on optimized global path planning for warehouse autonomous mobile robots (2025, 4 citations) demonstrates the breadth of his impact, spanning assistive technology to industrial automation.
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- 10MODELING AND SIMULATION OF A 5-AXIS RV-2AJ ROBOT USING SIMMECHANICS4 citations · 2015