Moussa et al., 2021 - Google Patents
Cluster-based distributed self-reconfiguration algorithm for modular robotsMoussa et al., 2021
View PDF- Document ID
- 9207842422992666065
- Author
- Moussa M
- Piranda B
- Makhoul A
- Bourgeois J
- Publication year
- Publication venue
- International Conference on Advanced Information Networking and Applications
External Links
Snippet
Modular robots are automated modules that can change their morphology self-sufficiently and progressively for control or reconfiguration purposes. Self-reconfiguration is a very challenging problem in modular robots systems. Existing algorithms are complex and not …
- 238000000034 method 0 abstract description 16
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
- G06F15/163—Interprocessor communication
- G06F15/173—Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5086—Mechanical design, e.g. parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/76—Architectures of general purpose stored programme computers
- G06F15/80—Architectures of general purpose stored programme computers comprising an array of processing units with common control, e.g. single instruction multiple data processors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Pinciroli et al. | ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems | |
Li et al. | Decentralized progressive shape formation with robot swarms | |
JP6174523B2 (en) | Behavior control system, method and program thereof | |
Lengiewicz et al. | Efficient collective shape shifting and locomotion of massively-modular robotic structures | |
Moussa et al. | Cluster-based distributed self-reconfiguration algorithm for modular robots | |
Liu et al. | Configuration recognition with distributed information for modular robots | |
Stocker et al. | Reinforcement learning–based design of orienting devices for vibratory bowl feeders | |
Fekete et al. | Connected reconfiguration of lattice-based cellular structures by finite-memory robots | |
Rubio et al. | Trajectory planning and collisions detector for robotic arms | |
Nasr | A new cloud autonomous system as a service for multi-mobile robots | |
Leder et al. | Introducing agent-based modeling methods for designing architectural structures with multiple mobile robotic systems | |
Li et al. | Long-term pattern formation and maintenance for battery-powered robots | |
Lakhlef et al. | Optimization of the logical topology for mobile MEMS networks | |
Li et al. | Decentralized coordination control for a network of mobile robotic sensors | |
Fekete et al. | Algorithmic Foundations of Programmable Matter Dagstuhl Seminar 16271 | |
Schumann-Olsen et al. | Parallel dynamic roadmaps for real-time motion planning in complex dynamic scenes | |
JP2018147401A (en) | Control object position replacement control device, control object position replacement control method, and program | |
Odem et al. | A self-reconfiguration algorithm for sliding triangular modular robots | |
Akbarimajd et al. | A novel cellular automata based real time path planning method for mobile robots | |
Narahara | Designing for constant change: an adaptable growth model for architecture | |
Hołobut et al. | Autonomous model-based assessment of mechanical failures of reconfigurable modular robots with a Conjugate Gradient solver | |
Lakhlef et al. | An energy and memory-efficient distributed self-reconfiguration for modular sensor/robot networks | |
WO2022239063A1 (en) | Control device, method, and program | |
Lundell et al. | An agent-based heterogeneous UAV simulator design | |
Shi et al. | AI for Innovation Design of Tensegrity Mobile Robot |