Papers
13
Total Citations
544
H-Index
8
About
Giuseppe Fusco is a leading researcher in autonomous robotics, with his work centered on the critical challenge of real-time motion planning and control for both mobile robots and robotic manipulators. His primary contributions lie in developing algorithms that ensure precise path tracking while respecting the physical limits of robotic systems, such as velocity, acceleration, and jerk constraints. Fusco’s most influential work, a fuzzy-logic-based approach for mobile robot path tracking, has garnered 229 citations, demonstrating its foundational impact on the field. He also pioneered a systematic, least-squares-based calibration method for odometry in mobile robots (125 citations), which remains a standard technique for improving localization accuracy. His extensive series of papers on inverse kinematics for redundant manipulators, including a highly cited 2003 algorithm (85 citations), provide robust solutions for online end-effector path tracking under joint limits. By tackling the fundamental trade-off between task execution and kinematic feasibility, Fusco’s research has directly enabled more reliable and autonomous operation in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1A Fuzzy-Logic-Based Approach for Mobile Robot Path Tracking229 citations · 2007
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