Imitation learning: A survey of learning methods
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a
learning machine) is trained to perform a task from demonstrations by learning a map** …
learning machine) is trained to perform a task from demonstrations by learning a map** …
Dynamic movement primitives in robotics: A tutorial survey
Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …
Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning
Demonstration trajectories collected from a supervisor in teleoperation are widely used for
robot learning, and temporally segmenting the trajectories into shorter, less-variable …
robot learning, and temporally segmenting the trajectories into shorter, less-variable …
[HTML][HTML] Human–robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization
Robots are increasingly exploited in production plants. Within the Industry 4.0 paradigm, the
robot complements the human's capabilities, learning new tasks and adapting itself to …
robot complements the human's capabilities, learning new tasks and adapting itself to …
Robotics and neuroscience
In the attempt to build adaptive and intelligent machines, roboticists have looked at
neuroscience for more than half a century as a source of inspiration for perception and …
neuroscience for more than half a century as a source of inspiration for perception and …
An autonomous manipulation system based on force control and optimization
In this paper we present an architecture for autonomous manipulation. Our approach is
based on the belief that contact interactions during manipulation should be exploited to …
based on the belief that contact interactions during manipulation should be exploited to …
Neuro-musculoskeletal modeling reveals muscle-level neural dynamics of adaptive learning in sensorimotor cortex
The neural activity of the brain is intimately coupled to the dynamics of the body. Yet how our
hierarchical sensorimotor system dynamically orchestrates the generation of movement …
hierarchical sensorimotor system dynamically orchestrates the generation of movement …
Learning coupling terms for obstacle avoidance
Autonomous manipulation in dynamic environments is important for robots to perform
everyday tasks. For this, a manipulator should be capable of interpreting the environment …
everyday tasks. For this, a manipulator should be capable of interpreting the environment …
Robot control based on motor primitives: A comparison of two approaches
Motor primitives are fundamental building blocks of a controller which enable dynamic robot
behavior with minimal high-level intervention. By treating motor primitives as basic …
behavior with minimal high-level intervention. By treating motor primitives as basic …
A fast transfer reinforcement learning model for transferring force-based human speed adjustment skills to robots for collaborative assembly posture alignment
H Sun, T Zhang, J Han, H Chu - Advanced Engineering Informatics, 2024 - Elsevier
Human-robot collaboration demonstrates significant autonomy and flexibility, making it
highly suitable for personalized and adaptable production tasks. However, the disparity …
highly suitable for personalized and adaptable production tasks. However, the disparity …