40 citations · 41 across the 5 of their papers we have counts for
5 papers · 1 filter
Learning Dynamical Systems Encoding Non-Linearity within Space Curvature
Bernardo Fichera, Aude Billard
Dynamical Systems (DS) are an effective and powerful means of shaping high-level policies for robotics control. They provide robust and reactive control while ensuring the stabilit…
A Structured Prediction Approach for Robot Imitation Learning
Anqing Duan, Iason Batzianoulis, Raffaello Camoriano +3
We propose a structured prediction approach for robot imitation learning from demonstrations. Among various tools for robot imitation learning, supervised learning has been observe…
Exploiting Kinematic Redundancy for Robotic Grasping of Multiple Objects
Kunpeng Yao, Aude Billard
Humans coordinate the abundant degrees of freedom (DoFs) of hands to dexterously perform tasks in everyday life. We imitate human strategies to advance the dexterity of multi-DoF r…
A Solution to Adaptive Mobile Manipulator Throwing
Yang Liu, Aradhana Nayak, Aude Billard
Mobile manipulator throwing is a promising method to increase the flexibility and efficiency of dynamic manipulation in factories. Its major challenge is to efficiently plan a feas…
Learning High Dimensional Demonstrations Using Laplacian Eigenmaps
Sthithpragya Gupta, Aradhana Nayak, Aude Billard
This article proposes a novel methodology to learn a stable robot control law driven by dynamical systems. The methodology requires a single demonstration and can deduce a stable d…