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arXiv Robotics — research abstracts· Roberto Mauceri, Stefano Dafarra, Giulio Romualdi, Marco Gabiccini, Daniele Pucci·· 5 days agoSignalEditorial score75

Contact-Implicit Whole-Body Trajectory Optimization for Dynamic Humanoid Locomotion on Parameterizable Uneven Terrain

Contact-Implicit Whole-Body Trajectory Optimization for Dynamic Humanoid Locomotion on Parameterizable Uneven Terrain

Summary

This letter presents a trajectory planner for humanoid robots to perform dynamic motions on complex, parameterizable terrains using a contact-implicit whole-body optimization framework.

Editorial context

The authors present a trajectory planning framework for humanoid robots capable of dynamic locomotion on uneven, parameterizable terrains using contact-implicit whole-body optimization; preliminary feasibility is demonstrated in simulation and on the ErgoCub robot.

Source: arXiv Robotics — research abstracts · Read original article ↗

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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Environment
SimulationOpen source S4
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dynamic trajectory generation by embedding high-level requirements in the cost function and the initial guess. Preliminary feasibility tests were conducted over non-coplanar terrains, both in simulation and on the real robot ErgoCub.

Open source S4

Source:arXiv Robotics — research abstracts · arxiv.org

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