Jan Bender
Papers
3
Total Citations
16
H-Index
3
About
Jan Bender is a researcher specializing in physics-based simulation, with a particular focus on its applications in robotics. His work addresses fundamental challenges in simulating complex physical interactions, spanning rigid and deformable body dynamics, frictional contact, and fluid simulation using Smoothed Particle Hydrodynamics (SPH). Bender's most notable contribution, STARK, presents a unified framework for strongly coupled simulation of rigid and deformable bodies with frictional contact, addressing a critical need in robotics for accurate physics-based modeling of robot-object interactions. This work, which has garnered 9 citations since its 2024 publication, reflects his commitment to developing robust, generalizable simulation tools. His research into fluid simulation is equally significant; his work on SPH-based fluid interaction within robotics platforms — including integration with articulated rigid body dynamics in Gazebo — fills a meaningful gap in existing physics engines like MuJoCo and Bullet, which traditionally lack sophisticated fluid modeling capabilities. With a growing citation record across multiple high-impact publications, Bender is emerging as a valuable contributor to the robotics simulation community, helping bridge the gap between realistic physical modeling and practical robot learning and testing applications.
Research Focus
Key Achievements
Top Papers
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