Papers
9
Total Citations
349
H-Index
6
About
S. Hanchi is a robotics researcher whose work has made significant contributions to the field of motion planning and trajectory optimization for a diverse range of robotic systems. With a career spanning the mid-2000s, Hanchi's research focuses primarily on optimal trajectory planning for industrial robots, wheeled mobile robots, mobile manipulators, and parallel robotic architectures including DELTA and GOUGH configurations. Hanchi's most influential contribution, "Minimum Cost Trajectory Planning for Industrial Robots" (2004), has garnered an impressive 231 citations, establishing a foundational methodology for cost-efficient robotic motion in industrial settings. This work laid the groundwork for subsequent research into dynamic motion generation for closed-chain systems and minimum-time planning for wheeled mobile robots. Notably, Hanchi pioneered a random-profile approach for mobile robot trajectory planning, earning 51 citations and introducing a fresh probabilistic perspective to the field. A recurring theme throughout Hanchi's body of work is the formulation of trajectory planning as a parametric optimization problem, simultaneously addressing path selection and time evolution while respecting kinematic and dynamic constraints. This elegant unified framework, applied consistently across serial, parallel, and mobile robotic platforms, reflects both the depth and versatility of Hanchi's contributions to intelligent robotic motion synthesis.
Research Focus
Key Achievements
Top Papers
- 1Minimum cost trajectory planning for industrial robots231 citations · 2004
- 2A random-profile approach for trajectory planning of wheeled mobile robots51 citations · 2006
- 3Planning Optimal Motions for a DELTA Parallel Robot24 citations · 2006
- 4Generating optimal dynamic motions for closed-chain robotic systems11 citations · 2005
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- 8Optimal motions planning for a GOUGH parallel robot5 citations · 2008
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