Toward creative problem solving agents: Action discovery through behavior babbling
Creative problem solving (CPS) is the process by which an agent discovers unknown
information about itself and its environment, allowing it to accomplish a previously …
information about itself and its environment, allowing it to accomplish a previously …
EO-MTRNN: evolutionary optimization of hyperparameters for a neuro-inspired computational model of spatiotemporal learning
E Wieser, G Cheng - Biological cybernetics, 2020 - Springer
For spatiotemporal learning with neural networks, hyperparameters are often set manually
by a human expert. This is especially the case with multiple timescale networks that require …
by a human expert. This is especially the case with multiple timescale networks that require …
Robot task learning with motor babbling using pseudo rehearsal
K Kase, A Tateishi, T Ogata - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
The paradigm of deep robot learning from demonstrations allows robots to solve complex
manipulation tasks by capturing motor skills from given demonstrations; however, collecting …
manipulation tasks by capturing motor skills from given demonstrations; however, collecting …
FAD learning: Separate learning for three accelerations-learning for dynamics of boat through motor babbling
A Numakura, S Kato, K Sato… - … on Robotics and …, 2016 - ieeexplore.ieee.org
This paper addresses the modeling and measurement of a small boat. In some fishing tasks,
anchorage is not applicable in order to capture shellfishes or fishes efficiently. Currently …
anchorage is not applicable in order to capture shellfishes or fishes efficiently. Currently …
Vehicle dynamics modeling using FAD learning
Highly precise vehicle dynamics modeling is indispensable for self-driving technology. We
propose a model learning framework, which utilizes FAD (The abbreviation of the capital …
propose a model learning framework, which utilizes FAD (The abbreviation of the capital …
Learning precisely timed feedforward control of the sensor-denied inverted pendulum
TL Mohren, TL Daniel… - IEEE Control Systems …, 2020 - ieeexplore.ieee.org
Time delays due to signal latency, computational complexity, and sensor-denied
environments, pose a critical challenge in both engineered and biological control systems …
environments, pose a critical challenge in both engineered and biological control systems …
Fully automated learning for position and contact force of manipulated object with wired flexible finger joints
K Watanabe, S Nishide, M Gouko, CH Kim - International Conference on …, 2016 - Springer
We discuss about the modeling technology in the object manipulation of the robot arm that is
equipped with flexible finger joints. In recent years, flexible robot fingers are getting attention …
equipped with flexible finger joints. In recent years, flexible robot fingers are getting attention …
Effective input order of dynamics learning tree
In this paper, we discuss about the learning performance of dynamics learning tree (DLT)
while mainly focusing on the implementation on robot arms. We propose an input-order …
while mainly focusing on the implementation on robot arms. We propose an input-order …
Leveraging Temporal Dynamics with Neural-Inspired Sensing and Control
TL Mohren - 2020 - digital.lib.washington.edu
Flying insects are known for their fast and robust control while being challenged with
sensory delays, an unsteady environment and by having limited computation power. One …
sensory delays, an unsteady environment and by having limited computation power. One …
A New Developmental Cognitive Architecture for the Autonomous Acquisition of Sensory-Motor Skills on Humanoid Robots
E Wieser - 2019 - mediatum.ub.tum.de
This thesis presents a new developmental cognitive architecture that enables a robot to
progressively learn increased levels of sensory-motor coordination. The contributions …
progressively learn increased levels of sensory-motor coordination. The contributions …