Telmo M. Silva Filho
Papers
1
Total Citations
2
H-Index
1
About
Telmo M. Silva Filho is a robotics researcher whose work focuses on the intersection of perception and manipulation, particularly in unstructured environments. His research centers on enabling robots to build simultaneous local and global environmental descriptions, a critical capability for tasks like object recognition and pose estimation during pick-and-place operations. His most-cited paper, "Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks" (2022), systematically analyzes how different data representations affect a robot's ability to recognize and interact with objects in real-world settings. This work addresses a fundamental challenge in robotics: the need for efficient, robust perception systems that can operate without the constraints of structured environments. By exploring the trade-offs between various data representations, Silva Filho contributes to the development of more adaptable and intelligent robotic systems. His research has the potential to impact fields ranging from industrial automation to assistive robotics, where reliable object manipulation is essential. With 2 citations to his most prominent work, Silva Filho is establishing himself as a thoughtful contributor to the ongoing conversation about how robots can better perceive and interact with the physical world.
Research Focus
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Top Papers
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