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Article
Fault-tolerant gait learning and morphology optimization of a polymorphic walking robot
This paper presents experiments with a morphology-independent, life-long strategy for online learning of locomotion gaits. The experimental platform is a quadruped robot assembled from the LocoKit modular robo...
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Chapter and Conference Paper
Playful Interaction with Voice Sensing Modular Robots
This paper describes a voice sensor, suitable for modular robotic systems, which estimates the energy and fundamental frequency, F 0, of the user’s voice. Through a number of example appli...
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Chapter
Sensor-Coupled Fractal Gene Regulatory Networks for Locomotion Control of a Modular Snake Robot
In this paper we study fractal gene regulatory network (FGRN) controllers based on sensory information. The FGRN controllers are evolved to control a snake robot consisting of seven simulated ATRON modules. Ea...
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Article
Anatomy-based organization of morphology and control in self-reconfigurable modular robots
In this paper, we address the challenge of realizing full-body behaviors in scalable modular robots. We present an experimental study of a biologically inspired approach to organize the morphology and control ...
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Chapter and Conference Paper
Fractal Gene Regulatory Networks for Robust Locomotion Control of Modular Robots
Designing controllers for modular robots is difficult due to the distributed and dynamic nature of the robots. In this paper fractal gene regulatory networks are evolved to control modular robots in a distribu...
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Chapter and Conference Paper
Distributed Online Learning of Central Pattern Generators in Modular Robots
In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimizes the parameters of coupled oscillator...
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Chapter
Exploit Morphology to Simplify Docking of Self-reconfigurable Robots
In this paper we demonstrate how to dock two self-reconfigurable robots and as a result merge them into one large robot. The novel feature of our approach is that the configuration we choose for our robots all...
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Chapter
Morphology Independent Learning in Modular Robots
Hand-coding locomotion controllers for modular robots is difficult due to their polymorphic nature. Instead, we propose to use a simple and distributed reinforcement learning strategy. ATRON modules with ident...