Papers
3
Total Citations
8
H-Index
2
About
Alinjar Dan is a robotics researcher whose work centers on the dynamics, control, and simulation of bipedal locomotion. His primary research areas include push recovery strategies, momentum-based control, and multibody system simulation. Dan’s most significant contribution is a novel optimized control methodology for biped push recovery, which leverages “Centroidal Momentum” and “Momentum Jacobian” to enable stable stance against external disturbances—a critical challenge in humanoid robotics. This work, published in 2024, has already garnered 4 citations, reflecting its immediate relevance. He also developed a 6-DOF biped robot model with full dynamics and control in MATLAB/SimMechanics (2021, 3 citations), providing a practical platform for locomotion studies. Additionally, Dan enhanced the Recursive Dynamics Simulator (ReDySim) with an improved graphical user interface (2024, 1 citation), making multibody simulation more accessible. His research bridges theoretical control and applied simulation, offering tools and insights for advancing bipedal robot stability and autonomy.
Research Focus
Key Achievements
Top Papers
- 1Push Recovery of a Biped in Different Stance Scenarios4 citations · 2024
- 2Dynamics and Control of a 6-DOF Biped Robot on MATLAB/SimMechanics3 citations · 2021
- 3