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Computing infrastructures of mobile robots have grown in complexity in the last decades; They have evolved from single processor systems to networks of microcontrollers communicating through a shared bus. This has induced additional architectural constrain ...
We present a simple, behavior-based, distributed control algorithm to inspect a regular structure with a swarm of autonomous, miniature robots, using only on-board, local sensors. To estimate intrinsic advantages and limita- tions of the proposed control s ...
Swarm robotics in real world requires a large number of robots and thus enough room for experimentation. Therefore, to implement such experiments with limited budget, robots should be compact and low cost, which entails the use of microcontroller-based min ...
A method is presented to predict phase relationships between coupled phase oscillators. As an illustration of how the method can be applied, a distributed Central Pattern Generator (CPG) model based on amplitude controlled phase oscillators is presented. R ...
This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double T-Maze navigation tasks, where the robot has to locate and "remember'' the position of ...
The paper describes the results of the evolutionary development of a real, neural-network driven mobile robot. The evolutionary approach to the development of neural controllers for autonomous agents has been successfully used by many researchers, but most ...
Modular self-folding robots are versatile systems that can change their own shape from two-dimensional patterns at instant commands. This reconfigurability is commonly restrained by power limitation in autonomous environments, The robotic systems with insu ...