Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning
February 28, 2020 Β· Declared Dead Β· π IEEE Robotics and Automation Letters
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Authors
Marc Toussaint, Jung-Su Ha, Danny Driess
arXiv ID
2002.12780
Category
cs.RO: Robotics
Citations
46
Venue
IEEE Robotics and Automation Letters
Last Checked
6 months ago
Abstract
Physical reasoning is a core aspect of intelligence in animals and humans. A central question is what model should be used as a basis for reasoning. Existing work considered models ranging from intuitive physics and physical simulators to contact dynamics models used in robotic manipulation and locomotion. In this work we propose descriptions of physics which directly allow us to leverage optimization methods for physical reasoning and sequential manipulation planning. The proposed multi-physics formulation enables the solver to mix various levels of abstraction and simplifications for different objects and phases of the solution. As an essential ingredient, we propose a specific parameterization of wrench exchange between object surfaces in a path optimization framework, introducing the point-of-attack as decision variable. We demonstrate the approach on various robot manipulation planning problems, such as grasping a stick in order to push or lift another object to a target, shifting and grasping a book from a shelve, and throwing an object to bounce towards a target.
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