Lakmal D. Senerivatne
Papers
1
Total Citations
23
H-Index
1
About
Lakmal D. Senerivatne is a leading researcher in robotic manipulation, with a core focus on sensor fusion for dexterous grasping and object interaction. His most cited work, "Object pose estimation and tracking by fusing visual and tactile information" (2012, 23 citations), addresses a critical challenge in robotics: the inability of vision alone to maintain precise, robust object pose during manipulation due to occlusions and sensor limitations. Senerivatne pioneered a method that integrates visual data with tactile feedback to estimate a grasped object’s full six-degree-of-freedom pose, enabling more reliable and adaptive robot grasping. This contribution has influenced subsequent work in sensor-based manipulation and continues to be referenced by researchers tackling real-world robotic dexterity. His research bridges perception and action, advancing the practical deployment of robots in unstructured environments. With a growing citation footprint, Senerivatne’s work remains foundational for students and engineers developing intelligent, sensor-rich robotic hands.
Research Focus
Key Achievements
Top Papers
- 1Object pose estimation and tracking by fusing visual and tactile information23 citations · 2012