Deep learning in neural networks: An overview
J Schmidhuber - Neural networks, 2015 - Elsevier
In recent years, deep artificial neural networks (including recurrent ones) have won
numerous contests in pattern recognition and machine learning. This historical survey …
numerous contests in pattern recognition and machine learning. This historical survey …
Evolutionary robotics: what, why, and where to
Evolutionary robotics applies the selection, variation, and heredity principles of natural
evolution to the design of robots with embodied intelligence. It can be considered as a …
evolution to the design of robots with embodied intelligence. It can be considered as a …
Reinforcement learning for UAV attitude control
Autopilot systems are typically composed of an “inner loop” providing stability and control,
whereas an “outer loop” is responsible for mission-level objectives, such as way-point …
whereas an “outer loop” is responsible for mission-level objectives, such as way-point …
[書籍][B] Evolutionary robotics
Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …
morphologies of autonomous robots. This approach is useful both for investigating the …
[書籍][B] Recurrent neural networks: design and applications
L Medsker, LC Jain - 1999 - books.google.com
With existent uses ranging from motion detection to music synthesis to financial forecasting,
recurrent neural networks have generated widespread attention. The tremendous interest in …
recurrent neural networks have generated widespread attention. The tremendous interest in …
The transferability approach: Crossing the reality gap in evolutionary robotics
The reality gap, which often makes controllers evolved in simulation inefficient once
transferred onto the physical robot, remains a critical issue in evolutionary robotics (ER). We …
transferred onto the physical robot, remains a critical issue in evolutionary robotics (ER). We …
Self-organized flocking in mobile robot swarms
In this paper, we study self-organized flocking in a swarm of mobile robots. We present
Kobot, a mobile robot platform developed specifically for swarm robotic studies. We describe …
Kobot, a mobile robot platform developed specifically for swarm robotic studies. We describe …
Evolutionary robotics
JC Bongard - Communications of the ACM, 2013 - dl.acm.org
Evolutionary robotics Page 1 74 communications of the acm | august 2013 | vol. 56 | no. 8
review articles Ill us tra t Ion b y Jus t In Metz The auTomaTed design, construction, and …
review articles Ill us tra t Ion b y Jus t In Metz The auTomaTed design, construction, and …
Evolutionary robotics and the radical envelope-of-noise hypothesis
N Jakobi - Adaptive behavior, 1997 - journals.sagepub.com
For several years now, various researchers have endeavored to apply artificial evolution to
the automatic design of control systems for real robots. One of the major challenges they …
the automatic design of control systems for real robots. One of the major challenges they …
AutoMoDe: A novel approach to the automatic design of control software for robot swarms
We introduce AutoMoDe: a novel approach to the automatic design of control software for
robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in …
robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in …