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Abstract—Conditional Neural Movement Primitives (CNMPs) is a learning from demonstration framework that is designed as a robotic movement learning and�...
Predicting Whole Body Motion Trajectories using Conditional Neural Movement Primitives � Adaptive Conditional Neural Movement Primitives via Representation�...
Sep 16, 2019Conditional Neural Movement Primitives. This branch includes PyTorch implementation. For Keras/Tensorflow implementation please refer to�...
Feb 13, 2024The results reveal enhanced modeling performance for movement primitives, leading to the synthesis of trajectories that more accurately reflect�...
Abstract—Conditional Neural Movement Primitives (CNMPs) is a learning from demonstration framework that is designed as a robotic movement learning and�...
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Aug 2, 2024In this study, we propose a novel architecture, namely Coupled Conditional Neural Movement Primitives (C-CNMP), that learns each sub-task�...
Reward Conditioned Neural Movement Primitives for Population-Based Variational Policy Optimization. Abstract: This paper aims to study the reward-based�...
Jul 6, 2024As a deep LfD framework, Conditional Neural Movement Primitives (CNMP) is developed based on Conditional Neural Processes (CNP) [7] , also�...
Conditional Neural. Movement Primitives(CNMPs) were designed as a learn- ing from demonstration framework for robotic movement learning and generation. It's�...
This repository contains the source code for the paper "Conditional Neural Expert Processes for Learning Movement Primitives from Demonstration" by Yigit�...