SMORES-EP, a modular robot with parallel self-assembly

Liu, Chao; Lin, Qian; Kim, Hyun; Yim, Mark

doi:10.1007/s10514-022-10078-1

Cited by 26 publications

(4 citation statements)

References 57 publications

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“…A node module was constructed using a low carbon steel spherical shell and a magnetic connector was used as a joining mechanism. SMORES-EP [27] was a modular robot used in construction sector. It can self-assemble to generate 3 different topologies based on a task.…”

Section: Applications Of Mobile and Modular Robotmentioning

confidence: 99%

A Design of a Modular Mobile Robot for Rescue Operations

Celiker,

Sulaiman,

Tsoy

2024

Proceedings of International Conference on Artificial Life and Robotics

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Modular robotics is one of the subfields of mobile robotics, which is emerging as a new trend in various sectors. Modular mobile robots can be reconfigured to perform a wide variety of tasks. In this paper, applications of modular mobile robots in various sectors such as industry, space, surgery, rescue and entertainment tasks are discussed. Based on the study, an improved design of a modular mobile robot for navigating through different terrains during a rescue operation is presented. Simulation study of the robot is included to demonstrate a motion capability of the modular mobile robot.

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Section: Applications Of Mobile and Modular Robotmentioning

confidence: 99%

A Design of a Modular Mobile Robot for Rescue Operations

Celiker,

Sulaiman,

Tsoy

2024

Proceedings of International Conference on Artificial Life and Robotics

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Section: Self‐assembly and Interconnection Of (Folded) Microelectroni...mentioning

confidence: 99%

Microelectronic Morphogenesis: Smart Materials with Electronics Assembling into Artificial Organisms

McCaskill,

Karnaushenko,

Zhu

et al. 2023

Advanced Materials

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Microelectronic morphogenesis is the creation and maintenance of complex functional structures by microelectronic information within shape‐changing materials. Only recently has in‐built information technology begun to be used to reshape materials and their functions in three dimensions to form smart microdevices and microrobots. Electronic information that controls morphology is inheritable like its biological counterpart, genetic information, and is set to open new vistas of technology leading to artificial organisms when coupled with modular design and self‐assembly that can make reversible microscopic electrical connections. Three core capabilities of cells in organisms, self‐maintenance (homeostatic metabolism utilizing free energy), self‐containment (distinguishing self from nonself), and self‐reproduction (cell division with inherited properties), once well out of reach for technology, are now within the grasp of information‐directed materials. Construction‐aware electronics can be used to proof‐read and initiate game‐changing error correction in microelectronic self‐assembly. Furthermore, noncontact communication and electronically supported learning enable one to implement guided self‐assembly and enhance functionality. Here, the fundamental breakthroughs that have opened the pathway to this prospective path are reviewed, the extent and way in which the core properties of life can be addressed are analyzed, and the potential and indeed necessity of such technology for sustainable high technology in society is discussed.

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“…Modules in a lattice-type modular robot are assigned a unique coordinate value that a planner can exploit for efficient self-reconfiguration. Some modular robots exhibit a combination of chain-type and lattice-type formations, combining the characteristics of both types, they form the hybrid-type [16,18,19,25]. Lattice-type modular robots are more suitable for creating a programmable matter since they allow more flexibility in approximating a given shape.…”

Section: Related Workmentioning

confidence: 99%

ASAPs: Asynchronous Hybrid Self-Reconfiguration Algorithm for Porous Modular Robotic Structures

Bassil

Piranda

Makhoul

et al. 2023

Preprint

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Programmable matter refers to material that can be programmed to alter its physical properties, including its shape. Such matter can be built as a lattice of attached robotic modules, each seen as an autonomous agent with communication and motion capabilities. Self-reconfiguration consists in changing the initial arrangement of modules to form a desired goal shape, and is known to be a complex problem due to its algorithmic complexity and motion constraints. In this paper, we propose to use a max-flow algorithm as a centralized global planner to determine the concurrent paths to be traversed by modules through a porous structure composed of 3D Catoms meta-modules with the aim of increasing the parallelism of motions, and hence decreasing the self-reconfiguration time. We implement a traffic light system as a distributed asynchronous local planning algorithm to control the motions to avoid collisions. We evaluated our algorithm using VisibleSim simulator on different self-reconfiguration scenarios and compared the performance with an existing fully distributed synchronous self-reconfiguration algorithm for similar structures. The results show that the new method provides a significant gain in performance.

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SMORES-EP, a modular robot with parallel self-assembly

Cited by 26 publications

References 57 publications

A Design of a Modular Mobile Robot for Rescue Operations

A Design of a Modular Mobile Robot for Rescue Operations

Microelectronic Morphogenesis: Smart Materials with Electronics Assembling into Artificial Organisms

ASAPs: Asynchronous Hybrid Self-Reconfiguration Algorithm for Porous Modular Robotic Structures

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