the potential advantage of being able to change their morphology by rearranging the connectivity of their modular units [3]. This project investigates the development and improvement of a self-reconfigurable modular robot designed in previous work to study the emergence of robotic life-forms in a controllable

and reconfigurations. We conclude the paper with a status report of the CONRO project and a list of the future work needed to fully realize the construction of the CONRO metamorphic robots.

We discuss a robotic module called a Molecule. Molecules can be the basis for building selfreconfiguring robots. They support multiple modalities of locomotion and manipulation. We describe the design, functionality, and control of the Molecule. We show how a set of Molecules can aggregate

Abstract. We present the design of a new structural extension for the e-puck mobile robot. The extension may be used to transform what is a swarm robotics platform into a self-reconfigurable modular robotic system. As a proof of concept, we present an algorithm for controlling the collective

Docking is a crucial action for self-reconfigurable robots because it supports almost all practical advantages of such robots. In addition to the classic docking challenges found in other applications, such as reliable dock/latch mechanics, effective guiding systems, and intelligent control

Abstract — Current implementations of self-reconfigurable robotics rearrange modules through a planned, deterministic reconfiguration path. Reconfiguration is achieved using active module locomotion or manipulation. Here we propose a form of self-reconfigurable robotics based on passive, stochastic

language tools that optimize router configurations and ensure they satisfy simple invariants. Due to Click’s architecture and language, Click router configurations are modular and easy to extend. A standards-compliant Click IP router has sixteen elements on its forwarding path. We present extensions

Abstract. The paper presents a modular robot, designed for reconfiguring, in order to achieve both walking and crawling motion. Each module has 2 DOFs (rotations). Six modules can be connected to form a four-legged structure or an open chain. The robot has self-reconfiguring skills and is able

Second generation self-reconfigurable modular robotic system Xanthus developed at FIU is presented in this paper. The robot is capable of self-reconfiguring its mechanical structure for efficient walking and crawling as the previous version. In addition, the current version is able to reconfigure

Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilistic localization algorithms known as Monte Carlo Localization (MCL). MCL algorithms represent a robot's belief by a set of weighted hypotheses (samples