[go: up one dir, main page]

Yang et al., 2025 - Google Patents

Geometry-Based Cooperative Conflict Resolution for Multi-UAV Combining Heading and Speed Control

Yang et al., 2025

Document ID
15786207486372938294
Author
Yang J
Zhang K
Zhong Q
Zhang L
Publication year
Publication venue
IEEE Transactions on Consumer Electronics

External Links

Snippet

A safe and efficient conflict resolution method for Autonomous Aerial Vehicles (AAVs) is essential for the safe operation of multi-AAV systems in complex environments. This paper proposes a geometry-based decentralized cooperative conflict resolution method. Firstly, the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291Fleet control
    • G05D1/0295Fleet control by at least one leading vehicle of the fleet
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0027Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement involving a plurality of vehicles, e.g. fleet or convoy travelling
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning 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
Alonso-Mora et al. Cooperative collision avoidance for nonholonomic robots
Zhang et al. A survey on multiple unmanned vehicles formation control and coordination: Normal and fault situations
Keviczky et al. Decentralized receding horizon control and coordination of autonomous vehicle formations
Schouwenaars Safe trajectory planning of autonomous vehicles
El Ferik et al. A Behavioral Adaptive Fuzzy controller of multi robots in a cluster space
Zhao et al. Hierarchical control framework for path planning of mobile robots in dynamic environments through global guidance and reinforcement learning
Liao et al. Model predictive control for cooperative hunting in obstacle rich and dynamic environments
Jmaa et al. A review of path planning algorithms
Tutuko et al. Route optimization of non-holonomic leader-follower control using dynamic particle swarm optimization
Ceder et al. Bird’s-eye-view trajectory planning of multiple robots using continuous deep reinforcement learning and model predictive control
Hailemichael et al. Development of a robust interval Type-2 TSK fuzzy logic controlled UAV platform
Yang et al. Geometry-Based Cooperative Conflict Resolution for Multi-UAV Combining Heading and Speed Control
Mousavifard et al. Formation control of multi-quadrotors based on deep Q-learning
Mousavi et al. On the distributed path planning of multiple autonomous vehicles under uncertainty based on model-predictive control and convex optimization
Kanjanawanishkul Coordinated path following for mobile robots using a virtual structure strategy with model predictive control
Barnes A potential field based formation control methodology for robot swarms
Gao et al. A survey on passing-through control of multi-robot systems in cluttered environments
Yang et al. C3R: A novel classification model-based coordination method for online conflict resolution of multiple unmanned aerial vehicles
Wang et al. Improved A* and fuzzy dynamic window based dynamic trajectory planning for an UAV
Liao Control, planning, and learning for multi-UAV cooperative hunting
Zhao et al. 3-D formulation of formation flight based on model predictive control with collision avoidance scheme
Chand et al. Leader-follower based control of fixed-wing multi-robot system (MRS) via split-rejoin maneuvers in 3d
Hoy Methods for collision-free navigation of multiple mobile robots in unknown cluttered environments
Khachumov Tactical level of intelligent geometric control system for unmanned aerial vehicles
Roelofsen et al. A comparative study of collision avoidance algorithms for unmanned aerial vehicles: Performance and robustness to noise