12 papers
Online Multi-Contact Receding Horizon Planning via Value Function Approximation
Jiayi Wang, Sanghyun Kim, Teguh Santoso Lembono +8
Planning multi-contact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large o…
Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation
Teng Xue, Hakan Girgin, Teguh Santoso Lembono +1
Long-term non-prehensile planar manipulation is a challenging task for robot planning and feedback control. It is characterized by underactuation, hybrid control, and contact uncer…
Tensor Train for Global Optimization Problems in Robotics
Suhan Shetty, Teguh Lembono, Tobias Loew +1
The convergence of many numerical optimization techniques is highly dependent on the initial guess given to the solver. To address this issue, we propose a novel approach that util…
Probabilistic Iterative LQR for Short Time Horizon MPC
Teguh Santoso Lembono, Sylvain Calinon
Optimal control is often used in robotics for planning a trajectory to achieve some desired behavior, as expressed by the cost function. Most works in optimal control focus on find…
Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network
Teguh Santoso Lembono, Emmanuel Pignat, Julius Jankowski +1
In high dimensional robotic system, the manifold of the valid configuration space often has a complex shape, especially under constraints such as end-effector orientation or static…
Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion
Teguh Santoso Lembono, Carlos Mastalli, Pierre Fernbach +2
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. We use HPP Loco3D, a vers…