Searched for: subject%3A%22Reality%255C+Gap%22
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document
Ferede, R. (author), de Croon, G.C.H.E. (author), de Wagter, C. (author), Izzo, Dario (author)
Developing optimal controllers for aggressive high-speed quadcopter flight poses significant challenges in robotics. Recent trends in the field involve utilizing neural network controllers trained through supervised or reinforcement learning. However, the sim-to-real transfer introduces a reality gap, requiring the use of robust inner loop...
journal article 2024
document
van Diggelen, Fuda (author)
This thesis is motivated by evolutionary robot systems where robot bodies and brains evolve simultaneously. In such a robot system, `birth' must be followed by `infant learning' by a learning method that works for various morphologies evolution may produce. Here we address the task of directed locomotion in modular robots with controllers based...
master thesis 2020
document
Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
Automatic optimization of robotic behavior has been the long-standing goal of Evolutionary Robotics. Allowing the problem at hand to be solved by automation often leads to novel approaches and new insights. A common problem encountered with this approach is that when this optimization occurs in a simulated environment, the optimized policies are...
journal article 2020
document
Scheper, K.Y.W. (author)
Automatically optimizing robotic behavior to solve complex tasks has been one of<br/>the main, long-standing goals of Evolutionary Robotics (ER). When successful, this<br/>approach will likely fundamentally change the rate of development and deployment<br/>of robots in everyday life. Performing this optimization on real robots can be risky<br/...
doctoral thesis 2019
document
Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
One of the major challenges of evolutionary robotics is to transfer robot controllers evolved in simulation to robots in the real world. In this article, we investigate abstraction of the sensory inputs and motor actions as a tool to tackle this problem. Abstraction in robots is simply the use of preprocessed sensory inputs and low-level closed...
journal article 2017
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Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
One of the major challenges of Evolutionary Robotics is to transfer robot controllers evolved in simulation to robots in the real world. In this article, we investigate abstraction on the sensory inputs and motor actions as a potential solution to this problem. Abstraction means that the robot uses preprocessed sensory inputs and closed loop low...
conference paper 2016
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Scheper, K.Y.W. (author), Tijmons, S. (author), de Visser, C.C. (author), de Croon, G.C.H.E. (author)
Evolutionary Robotics allows robots with limited sensors and processing to tackle complex tasks by means of sensory-motor coordination. In this article we show the first application of the Behavior Tree framework on a real robotic platform using the evolutionary robotics methodology. This framework is used to improve the intelligibility of the...
journal article 2016
document
Scheper, K.Y.W. (author)
Evolutionary Robotics allows robots with limited sensors and processing to tackle complex tasks by means of sensory-motor coordination. In this paper we show the first application of the Behaviour Tree framework to a real robotic platform using the Evolutionary Robotics methodology. This framework is used to improve the intelligibility of the...
master thesis 2014
Searched for: subject%3A%22Reality%255C+Gap%22
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