Pakorn Uttayopas
Papers
2
Total Citations
11
H-Index
2
About
Pakorn Uttayopas is advancing the frontier of robotic haptic perception, with a focus on how machines can recognize objects through touch. His research centers on active haptic exploration and the estimation of intrinsic mechanical properties—such as viscoelasticity and surface friction—to enable more robust object recognition. In his 2023 work on object recognition using mechanical impact, Uttayopas demonstrated that movement-independent material properties offer a more reliable basis for identification than traditional statistical measures of force or vibration. His dual-stage active haptic exploration framework, also published in 2023, addresses sensing ambiguities by allowing robots to adaptively select exploratory actions, significantly improving recognition accuracy. With over a dozen citations to his key papers, his contributions are shaping the next generation of tactile robotics. Uttayopas’s work is particularly notable for bridging the gap between material science and robotic manipulation, offering practical pathways for robots to interact intelligently with unstructured environments. His research holds promise for applications in assistive robotics, manufacturing, and autonomous systems where touch-based identification is critical.
Research Focus
Key Achievements
Top Papers
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