Optimal and autonomous control using reinforcement learning: A survey
B Kiumarsi, KG Vamvoudakis… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
This paper reviews the current state of the art on reinforcement learning (RL)-based
feedback control solutions to optimal regulation and tracking of single and multiagent …
feedback control solutions to optimal regulation and tracking of single and multiagent …
From monkey-like action recognition to human language: An evolutionary framework for neurolinguistics
MA Arbib - Behavioral and brain sciences, 2005 - cambridge.org
The article analyzes the neural and functional grounding of language skills as well as their
emergence in hominid evolution, hypothesizing stages leading from abilities known to exist …
emergence in hominid evolution, hypothesizing stages leading from abilities known to exist …
Anthropomorphic movement analysis and synthesis: A survey of methods and applications
The anthropomorphic body form is a complex articulated system of links/limbs and joints,
simultaneously redundant and underactuated, and capable of a wide range of sophisticated …
simultaneously redundant and underactuated, and capable of a wide range of sophisticated …
Computational approaches to motor learning by imitation
Movement imitation requires a complex set of mechanisms that map an observed movement
of a teacher onto one's own movement apparatus. Relevant problems include movement …
of a teacher onto one's own movement apparatus. Relevant problems include movement …
[图书][B] Robot programming by demonstration
S Calinon - 2009 - books.google.com
Also referred to as learning by imitation, tutelage, or apprenticeship learning, Programming
by Demonstration (PbD) develops methods by which new skills can be transmitted to a …
by Demonstration (PbD) develops methods by which new skills can be transmitted to a …
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 …
Dynamical system modulation for robot learning via kinesthetic demonstrations
M Hersch, F Guenter, S Calinon… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
We present a system for robust robot skill acquisition from kinesthetic demonstrations. This
system allows a robot to learn a simple goal-directed gesture and correctly reproduce it …
system allows a robot to learn a simple goal-directed gesture and correctly reproduce it …
Hierarchical attentive multiple models for execution and recognition of actions
Y Demiris, B Khadhouri - Robotics and autonomous systems, 2006 - Elsevier
According to the motor theories of perception, the motor systems of an observer are actively
involved in the perception of actions when these are performed by a demonstrator. In this …
involved in the perception of actions when these are performed by a demonstrator. In this …
Discriminative and adaptive imitation in uni-manual and bi-manual tasks
AG Billard, S Calinon, F Guenter - Robotics and Autonomous Systems, 2006 - Elsevier
This paper addresses the problems of what to imitate and how to imitate in simple uni and bi-
manual manipulatory tasks. To solve the what to imitate issue, we use a probabilistic …
manual manipulatory tasks. To solve the what to imitate issue, we use a probabilistic …
Discovering optimal imitation strategies
This paper develops a general policy for learning the relevant features of an imitation task.
We restrict our study to imitation of manipulative tasks or gestures. The imitation process is …
We restrict our study to imitation of manipulative tasks or gestures. The imitation process is …