Per Kaminsky
Papers
2
Total Citations
17
H-Index
2
About
Per Kaminsky is a roboticist whose research focuses on enabling personal robots to autonomously manipulate and place objects in unstructured, real-world environments. His key contributions lie in the development of fast, geometrical placement planners that allow robots to handle unknown objects and placement areas using only sensor data. Kaminsky’s most-cited work, “A fast, GPU-based geometrical placement planner for unknown sensor-modelled objects and placement areas” (2014, 13 citations), introduces a high-speed planning algorithm that leverages GPU acceleration to solve the critical challenge of where to place a grasped object—a problem as essential as grasping itself. His earlier foundational paper (2013, 4 citations) established the core geometrical approach for sensor-modelled objects. By addressing the gap between controlled lab settings and unpredictable homes, Kaminsky’s planners advance the practicality of personal robotics. His work is notable for its emphasis on real-time performance and adaptability, directly contributing to the goal of robots that can operate autonomously in human environments without prior knowledge of objects or surfaces.
Research Focus
Key Achievements
Top Papers
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