Exploring Iros 2022 Robust Counterexample Guided Optimization From Differentiable Temporal Logic
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- A presentation on our paper "Learning Time-
- Simon Zimmermann, Matthias Busenhart, Simon Huber, Roi Poranne, Stelian Coros.
- Robots interacting with humans must be safe, reactive and adapt online to unforeseen environmental and task changes.
- Simulation in Gazebo of the powerline inspection example in my paper https://arxiv.org/abs/1803.11247 The video is 2x speed.
- Optimal Assignment of tasks to a team of robots using
In-Depth Information on Iros 2022 Robust Counterexample Guided Optimization From Differentiable Temporal Logic
This is the presentation video for our Authors: Lars Lindemann, Alena Rodionova and George J. Pappas ABSTRACT. We study the Authors: Yuanqi Mao, Behcet Acikmese, Pierre-Loic Garoche and Alexandre Chapoutot ABSTRACT. As the scope and complexity ... Authors: Houssam Abbas and Richard Pelphrey ABSTRACT. Is it possible to determine whether a signal violates a formula in ...
Here is the paper link, https://ieeexplore.ieee.org/abstract/document/9993114 We have extended this paper to a journal version ...
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