Title: Non-Gaited Legged Locomotion with Monte-Carlo Tree Search and Supervised Learning
Authors: Ilyass Taouil*, Lorenzo Amatucci*, Majid Khadiv, Angela Dai, Victor Barasuol, Giulio Turrisi, Claudio Semini
*Equal Contribution
Link to the paper: arxiv.org/abs/2408.07508

Thanks for the insight! Looking forward to the report!

I'm looking forward to a better cpu in the lineup! Maybe the novelty that apple brought in ARM can be go there as well.

It is a nice idea! Wondering why they chose to go for 4+1 pages instead of 6+. This can make people considering it not a "full" paper

Authors: Giulio Turrisi, Lucas Schulze, Vivian S. Medeiros, Claudio Semini, Victor Barasuol
Paper: arxiv.org/pdf/2403.19862

Not yet, but we are working on it! If you discretize too much, the consensum mechanism will be slower to converge (and the will be more errors in the meantime). So yes, there is a sweet spot, but one can play a lot with the optimal subdivision here

Resercher in legged locomotion from italy here!

Title: Accelerating Model Predictive Control for Legged Robots through Distributed Optimization
Authors: Lorenzo Amatucci , Giulio Turrisi , Angelo Bratta , Victor Barasuol , Claudio Semini
Link to the paper: arxiv.org/pdf/2403.11742
Code: github.com/iit-DLSLab/D...

2/2

precise motion that requires a lot of planning are still out of reach (e.g. cat agility!)