Papers
12
Total Citations
87
H-Index
5
About
Alexandru Gal is a robotics researcher whose work spans contact mechanics, walking robot control, and intelligent decision-making for autonomous systems. His most cited paper, "A numerical dynamic behaviour model for 3D contact problems with friction" (34 citations), establishes a foundational framework for simulating complex contact interactions—critical for robotic manipulation and locomotion. Gal has made significant contributions to hybrid position/force control, notably through a state machine-based architecture for waste management mobile robots (13 citations) and a DSmT-based algorithm for dexterous hand grasping configurations (11 citations). His research often integrates fuzzy logic, neutrosophic logic, and bond graph methods to enhance robot stability and adaptability, as seen in his work on walking robot control and obstacle avoidance for the NAO humanoid. Gal also explores cutting-edge applications in Industry 4.0, including renewable energy power plant architectures using linked data connectors. With over 80 total citations across his publications, his work demonstrates a consistent focus on bridging theoretical modeling with practical robotic control, making him a notable figure in the fields of contact dynamics, intelligent control, and autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1A numerical dynamic behaviour model for 3D contact problems with friction34 citations · 2014
- 2
- 3
- 4Fuzzy dynamic modeling for walking modular robot control11 citations · 2010
- 5NAO robot fuzzy obstacle avoidance in virtual environment5 citations · 2019
- 6
- 7The 3D elastic quasi-static contact applied to robots control2 citations · 2013
- 8
- 9
- 10