Robot learning in the era of foundation models: A survey
The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning
from automation towards general embodied Artificial Intelligence (AI). Adopting foundation …
from automation towards general embodied Artificial Intelligence (AI). Adopting foundation …
Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds
significant promise for capturing expert motor skills through efficient imitation, facilitating …
significant promise for capturing expert motor skills through efficient imitation, facilitating …
A Policy Searched-Based Optimization Algorithm for Obstacle Avoidance in Robot Manipulators
Most current learning from demonstration algorithms are only applied in static work
environments. However, using the learned skills directly in a changing environment may …
environments. However, using the learned skills directly in a changing environment may …
Hierarchical Impedance, Force, and Manipulability Control for Robot Learning of Skills
Learning from demonstration (LfD) has been considered an efficient way for skill transfer
from a human user to a robot, to quickly program the robot to perform tasks. Current methods …
from a human user to a robot, to quickly program the robot to perform tasks. Current methods …
融合深度学习的贝叶斯滤波综述
张文安， 林安迪， 杨旭升， 俞立， 杨小牛 - 自动化学报, 2024 - aas.net.cn
当前动态系统呈现大型化, 复杂化的趋势, 基于贝叶斯滤波的动态系统状态估计遇到了一系列新
的挑战. 随着深度学习在特征提取与模式识别等方面的优势与潜力不断显现 …
的挑战. 随着深度学习在特征提取与模式识别等方面的优势与潜力不断显现 …
Non-parametric Gaussian process movement primitive with via-point constraint for effective and safe robot skill learning
Learning from demonstration (LFD) algorithms has been proven to be an effective way to
encode basic human skills, such as probabilistic movement primitives (ProMPs). However …
encode basic human skills, such as probabilistic movement primitives (ProMPs). However …
A Dynamic Movement Primitives-Based Tool Use Skill Learning and Transfer Framework for Robot Manipulation
This paper presents a framework for learning and transferring robot tool-use skills based on
Dynamic Movement Primitives (DMPs) for robot fine manipulation. DMPs and their …
Dynamic Movement Primitives (DMPs) for robot fine manipulation. DMPs and their …
Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills
Learning an autonomous dynamic system (ADS) encoding human motion rules has been
shown as an effective way for human motion skills transfer. However, most existing …
shown as an effective way for human motion skills transfer. However, most existing …
Learning Stable State-Dependent Variable Impedance Control for Compliant Manipulation
State-dependent variable impedance control (VIC) has been shown as the necessary skill
for compliant and dexterous robot operations. However, introducing a variable impedance …
for compliant and dexterous robot operations. However, introducing a variable impedance …
Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures
A Duan, W Liuchen, J Wu, R Camoriano… - arXiv preprint arXiv …, 2023 - arxiv.org
The increasing deployment of robots has significantly enhanced the automation levels
across a wide and diverse range of industries. This paper investigates the automation …
across a wide and diverse range of industries. This paper investigates the automation …