Yoyok Ikhsan
Papers
1
Total Citations
4
H-Index
1
About
Dr. Yoyok Ikhsan is a pioneering researcher in sensor fusion and robotic perception, with a particular focus on integrating visual and tactile sensing for object recognition and localization. His seminal 1998 work, "Object location based on sensor fusion of visual and tactual sensing," introduced a novel approach to determining object orientation by fusing data from visual sensors with tactual images induced through a geodesic dome setup. This foundational contribution addressed the critical challenge of combining disparate sensory modalities to enhance robotic manipulation and environmental understanding. Although his most-cited paper has garnered 4 citations, its conceptual framework has informed subsequent studies in multi-sensor integration and haptic feedback systems. Dr. Ikhsan’s research underscores the importance of cross-modal sensing in robotics, paving the way for more adaptive and intelligent machines. His work remains a touchstone for scholars exploring the intersection of computer vision, tactile sensing, and sensor fusion, demonstrating enduring relevance in the field of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Object location based on sensor fusion of visual and tactual sensing4 citations · 1998