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Part IV: Differentiable Physics Simulations
A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties - IROS 2020
A First Principles Approach for System Identification via Differentiable Physics Engines (L4DC2020)
Synchronous Objects - Density Surface
Through the Eyes of Opus 5.5: What Does the Geometry of Control Look Like
Learning Collaborative Push and Grasp Policies in Dense Clutter, ICRA 2021.
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning
gradSim: Differentiable simulation for system identification and visuomotor control
Can AI Learn Physics Differentiable Simulation & Foundation Models | Nils Thuerey
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
LAMMPS: Simulating Materials in Motion | Open Access Tools for Physical Sciences — Ep. 7
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Last Updated: October 1, 2026
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Changkyu Song and Abdeslam Boularias, Learning to Slide Unknown Objects with Differentiable Physics Simulations Model Identification for Robotic Manipulation. A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Collaboration with Ohio State Departments of Geography, Dance, and the Advanced Computing Center for the Arts and Design ... github.com/ThorHe-Hub/opus-geometry-of-control An upright pencil will eventually fall—unless it can sense its own error. Robots must reason about pushing and grasping in order to engage in flexible manipulation in cluttered environments. We train a ... This video is a supplement to the paper: M. Toussaint, K. R. Allen, K. A. Smith, and J. B. Tenenbaum: A summary of our ICLR 2021 paper on Full episode, transcript and resources: ... What happens when we stop looking at materials as static structures and start watching their atoms move? In Episode 7 of Open ...
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