Bassam Jalgha
Papers
4
Total Citations
46
H-Index
3
About
Bassam Jalgha is a robotics researcher whose work centers on humanoid robot stability, balance control, and fall avoidance — a critical frontier in making robots viable as real-world assistive devices. His most influential contribution, "A hybrid ankle/hip preemptive falling scheme for humanoid robots" (2011, 20 citations), introduced a biologically inspired framework that mimics human reflexive responses to unexpected disturbances, combining ankle and hip strategies to keep robots upright. This work was closely followed by "HUMANOID FALL AVOIDANCE USING A MIXTURE OF STRATEGIES" (2012, 17 citations), which expanded the repertoire of recovery behaviors available to humanoid platforms. His earlier paper, "A Simple Momentum Controller for Humanoid Push Recovery" (2009), laid foundational groundwork for momentum-based balance control, while his 2012 study on hierarchical fall avoidance addressed energy efficiency by intelligently selecting among ankle, momentum, and step-recovery strategies. Together, Jalgha's publications have accumulated over 45 citations and reflect a coherent research vision: enabling humanoid robots to respond dynamically and efficiently to physical perturbations, bringing us closer to safe, reliable robotic assistants in human environments.
Research Focus
Key Achievements
Top Papers
- 1A hybrid ankle/hip preemptive falling scheme for humanoid robots20 citations · 2011
- 2HUMANOID FALL AVOIDANCE USING A MIXTURE OF STRATEGIES17 citations · 2012
- 3A Simple Momentum Controller for Humanoid Push Recovery6 citations · 2009
- 4Hierarchical fall avoidance strategy for small-scale humanoid robots3 citations · 2012