Jul 2, 2019 � In our proposed approach, we build a memory of motion based on a database of robot paths to provide good initial guesses. The memory of motion�...

Feb 3, 2020 � We have presented an approach to build a memory of motion to warm-start trajectory optimization solver, and demonstrate through experiments with�...

This work builds a memory of motion based on a database of robot paths to provide good initial guesses and shows that the memory can be used as a metric to�...

Abstract—In this paper, we propose a framework to build a memory of motion for warm-starting an optimal control solver for the locomotion task of a humanoid�...

Trajectory optimization for motion planning is a fundamental problem in robotics. Algorithms typically require good initialization in order to find optimal�...

We use the concept of memory of motion to warm-start trajectory optimization. In this work we use TrajOpt�...

In this paper, we propose a framework to build a memory of motion for warm-starting an optimal control solver for the locomotion task of a humanoid robot.

28 References � Memory of Motion for Warm-Starting Trajectory Optimization � Using a Memory of Motion to Efficiently Warm-Start a Nonlinear Predictive Controller.

Memory of Motion for Warm-starting Trajectory Optimization. IEEE Robotics ... Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion.

Sep 21, 2017 � trajectory optimization with a sampling-based motion planner (PRM) to compute better sample trajectories. This allows us to learn a better�...