Nonlinear Stochastic Trajectory Optimization for Motion Generation of Legged Robots.
Автор: Machines in Motion Laboratory
Загружено: 2022-09-19
Просмотров: 447
Description: Video submission of the paper " Nonlinear Stochastic Trajectory Optimization for Centroidal Momentum Motion Generation of Legged Robots"
Link to paper: https://arxiv.org/pdf/2205.13264v2.pdf
Abstract: Generation of robust trajectories for legged robots remains
a challenging task due to the underlying nonlinear, hybrid and intrin-
sically unstable dynamics which needs to be stabilized through limited
contact forces. Furthermore, disturbances arising from unmodelled con-
tact interactions with the environment and model mismatches can hinder
the quality of the planned trajectories leading to unsafe motions. In this
work, we propose to use stochastic trajectory optimization for gener-
ating robust centroidal momentum trajectories to account for additive
uncertainties on the model dynamics and parametric uncertainties on
contact locations. Through an alternation between the robust centroidal
and whole-body trajectory optimizations, we generate robust momen-
tum trajectories while being consistent with the whole-body dynamics.
We perform an extensive set of simulations subject to different uncer-
tainties on a quadruped robot showing that our stochastic trajectory
optimization problem reduces the amount of foot slippage for different
gaits while achieving better performance over deterministic planning.
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