Jussi Puura
Papers
3
Total Citations
41
H-Index
3
About
Jussi Puura is a robotics researcher whose work centers on the optimization and intelligent control of redundant serial robotic manipulators. His primary contributions lie in developing generic methods to enhance the structural design and real-time path planning of these complex systems, with a particular focus on heavy-duty hydraulic manipulators. Puura’s most cited paper, “A generic method to optimize a redundant serial robotic manipulator's structure” (2017, 28 citations), provides a foundational framework for improving manipulator performance. He has also made significant strides in autonomous navigation, as demonstrated in his work on “Redundant Robotic Manipulator Path Planning for Real-Time Obstacle and Self-Collision Avoidance” (2017, 8 citations) and “On-Line Path Planning With Collision Avoidance for Coordinate-Controlled Robotic Manipulators” (2017, 5 citations). Notably, the latter introduces a generic method for generating joint trajectories that enables a coordinate-controlled manipulator to reach a goal pose in real-time without collisions. While his citation counts reflect a focused, early-career impact, Puura’s emphasis on practical, real-time solutions for collision avoidance and structural optimization positions him as a promising contributor to advanced robotics, particularly in industrial and heavy-duty applications.
Research Focus
Key Achievements
Top Papers
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