Denysyuk et al., 2019 - Google Patents

A* Modification for Mobile Robotic Systems

Denysyuk et al., 2019

Document ID
9965199369684324415
Author
Denysyuk P
Teslyuk V
Kernytskyy A
Melnyk M
Publication year
Publication venue
2019 IEEE XVth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH)

External Links

Snippet

In the work, a software based on the MVC methodology is developed using the LIDAR and SLAM technology, which allows automatic control of the mobile robot in real-time. An algorithm is developed which builds a graph based on data obtained from a mobile robot …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/40—Robotics, robotics mapping to robotics vision
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/39—Robotics, robotics to robotics hand
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291—Fleet control
    • G05D1/0295—Fleet control by at least one leading vehicle of the fleet
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means

Similar Documents

Publication Publication Date Title
Zhang et al. Rapidly-exploring Random Trees multi-robot map exploration under optimization framework
Sudhakara et al. Trajectory planning of a mobile robot using enhanced A-star algorithm
Denysyuk et al. Development of mobile robot using LIDAR technology based on Arduino controller
Khuswendi et al. Uav path planning using potential field and modified receding horizon a* 3d algorithm
Tahir et al. Heuristic approach for real-time multi-agent trajectory planning under uncertainty
Mannucci et al. Autonomous 3D exploration of large areas: A cooperative frontier-based approach
Queralta et al. Communication-free and index-free distributed formation control algorithm for multi-robot systems
Berndt et al. Centralized robotic fleet coordination and control
Denysyuk et al. A* Modification for Mobile Robotic Systems
Yu et al. Sensor-based roadmaps for motion planning for articulated robots in unknown environments: Some experiments with an eye-in-hand system
Isma et al. Hardware in the loop simulation for robot navigation with RFID
Luo et al. Star-Searcher: A Complete and Efficient Aerial System for Autonomous Target Search in Complex Unknown Environments
Varghese et al. Multi-Robot System for Mapping and Localization
Han et al. A distributed range-only collision avoidance approach for low-cost large-scale multi-robot systems
Prieto et al. Multiagent robotic systems and exploration algorithms: Applications for data collection in construction sites
Chen et al. Trajectory Planning of Autonomous Mobile Robot using Model Predictive Control in Human-Robot Shared Workspace
Okumura et al. Amoeba exploration: Coordinated exploration with distributed robots
Wei et al. Research on the slam of mobile robot based on particle filter method
Shen et al. SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments
Afaghani et al. On-line collision avoidance of two command-based industrial robotic arms using advanced collision map
Bera et al. An integrated decision and control theoretic solution to multi-agent co-operative search problems
Robin et al. Taxonomy on multi-robot target detection and tracking
Ai et al. Research on mapping method based on data fusion of lidar and depth camera
Long et al. Multi-robots Path Planning and Mapping for Exploring Unknown Environment
Tang et al. Comparison between normal waveform and modified wavefront path planning algorithm for mobile robot