State-of-the-Art control strategies for robotic PiH assembly
Nowadays, industrial robots have been widely applied for performing position-controlled
tasks with minimum contact such as spot welding, spray painting, packing, and material …
tasks with minimum contact such as spot welding, spray painting, packing, and material …
[HTML][HTML] Reinforcement learning with human advice: a survey
A Najar, M Chetouani - Frontiers in Robotics and AI, 2021 - frontiersin.org
In this paper, we provide an overview of the existing methods for integrating human advice
into a Reinforcement Learning process. We first propose a taxonomy of the different forms of …
into a Reinforcement Learning process. We first propose a taxonomy of the different forms of …
Incremental learning of full body motion primitives and their sequencing through human motion observation
In this paper we describe an approach for on-line, incremental learning of full body motion
primitives from observation of human motion. The continuous observation sequence is first …
primitives from observation of human motion. The continuous observation sequence is first …
Teaching and learning of robot tasks via observation of human performance
R Dillmann - Robotics and Autonomous Systems, 2004 - Elsevier
Within this paper, an approach for teaching a humanoid robot is presented that will enable
the robot to learn typical tasks required in everyday household environments. Our approach …
the robot to learn typical tasks required in everyday household environments. Our approach …
Incremental learning, clustering and hierarchy formation of whole body motion patterns using adaptive hidden markov chains
D Kulić, W Takano, Y Nakamura - The International Journal …, 2008 - journals.sagepub.com
This paper describes a novel approach for autonomous and incremental learning of motion
pattern primitives by observation of human motion. Human motion patterns are abstracted …
pattern primitives by observation of human motion. Human motion patterns are abstracted …
Incremental learning of tasks from user demonstrations, past experiences, and vocal comments
M Pardowitz, S Knoop, R Dillmann… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
Since many years the robotics community is envisioning robot assistants sharing the same
environment with humans. It became obvious that they have to interact with humans and …
environment with humans. It became obvious that they have to interact with humans and …
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Linking human whole-body motion and natural language is of great interest for the
generation of semantic representations of observed human behaviors as well as for the …
generation of semantic representations of observed human behaviors as well as for the …
Explainable online validation of machine learning models for practical applications
We present a reformulation of the regression and classification, which aims to validate the
result of a machine learning algorithm. Our reformulation simplifies the original problem and …
result of a machine learning algorithm. Our reformulation simplifies the original problem and …
Programming by demonstration: dual-arm manipulation tasks for humanoid robots
This paper deals with easy programming methods of dual-arm manipulation tasks for
humanoid robots. Hereby a programming by demonstration system is used in order to …
humanoid robots. Hereby a programming by demonstration system is used in order to …
A sensor fusion approach for recognizing continuous human grasping sequences using hidden markov models
The Programming by Demonstration (PbD) technique aims at teaching a robot to accomplish
a task by learning from a human demonstration. In a manipulation context, recognizing the …
a task by learning from a human demonstration. In a manipulation context, recognizing the …