Papers

4

Total Citations

63

H-Index

4

About

George I. Boutselis is a researcher whose work lies at the intersection of trajectory optimization and robotic manipulation, with a particular emphasis on robustness and constraint handling. His most significant contribution is a re-examination of Constrained Differential Dynamic Programming (DDP), a cornerstone method for unconstrained trajectory optimization in robotics and controls. By extending DDP to effectively handle constraints—a long-standing challenge in the field—his 2021 paper has garnered 34 citations, reflecting its impact on advancing practical, real-world motion planning. In the domain of robotic grasping, Boutselis has developed integrated methodologies for task-specific, force-closure grasps under uncertainty. His 2014 work on robust grasping for multifingered hands introduced the novel concept of "Q distance" to account for external disturbances, while a complementary study on tactile sensing addressed uncertainties in object and hand parameters. Together, these papers (with 12 and 7 citations, respectively) demonstrate his commitment to bridging theoretical algorithms with sensor-driven, robust physical interaction. Boutselis’s research is essential reading for those seeking to push the boundaries of autonomous manipulation and constrained optimization in robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
63
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Constrained Differential Dynamic Programming Revisited
34 citations · 2021
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Georgia Institute of Technology, National Technical University of Athens, University of Siena

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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