7 citations · 8 across the 4 of their papers we have counts for
3 papers · 1 filter
Efficient Model Identification for Tensegrity Locomotion
Shaojun Zhu, David Surovik, Kostas E. Bekris +1
This paper aims to identify in a practical manner unknown physical parameters, such as mechanical models of actuated robot links, which are critical in dynamical robotic tasks. Key…
Fast Model Identification via Physics Engines for Data-Efficient Policy Search
Shaojun Zhu, Andrew Kimmel, Kostas E. Bekris +1
This paper presents a method for identifying mechanical parameters of robots or objects, such as their mass and friction coefficients. Key features are the use of off-the-shelf phy…
Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation
Shaojun Zhu, Andrew Kimmel, Abdeslam Boularias
We consider the problem of a robot learning the mechanical properties of objects through physical interaction with the object, and introduce a practical, data-efficient approach fo…