[go: up one dir, main page]

Phadke et al., 2024 - Google Patents

Increasing operational resiliency of uav swarms: An agent-focused search and rescue framework

Phadke et al., 2024

View HTML
Document ID
9147664554055429138
Author
Phadke A
Medrano F
Publication year
Publication venue
Aerospace Research Communications

External Links

Snippet

Resilient UAV (Unmanned Aerial Vehicle) swarm operations are a complex research topic where the dynamic environments in which they work significantly increase the chance of systemic failure due to disruptions. Most existing SAR (Search and Rescue) frameworks for …
Continue reading at www.frontierspartnerships.org (HTML) (other versions)

Classifications

    • 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
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044—Control 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
    • 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
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0027—Control 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
    • 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
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • 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
    • 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
    • G05D1/0094—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target

Similar Documents

Publication Publication Date Title
Skorobogatov et al. Multiple UAV systems: A survey
Campion et al. UAV swarm communication and control architectures: a review
Sharma et al. Routing and collision avoidance techniques for unmanned aerial vehicles: Analysis, optimal solutions, and future directions
Horyna et al. Decentralized swarms of unmanned aerial vehicles for search and rescue operations without explicit communication
Rezaee et al. Comprehensive review of drones collision avoidance schemes: Challenges and open issues
EP3797342B1 (en) Precision mapping using autonomous devices
Phadke et al. Increasing operational resiliency of uav swarms: An agent-focused search and rescue framework
Maza et al. Classification of multi-UAV architectures
Phadke et al. Towards resilient UAV swarms—A breakdown of resiliency requirements in UAV swarms
Jagannath et al. Deep learning and reinforcement learning for autonomous unmanned aerial systems: Roadmap for theory to deployment
Pechoucek et al. Agent-based approach to free-flight planning, control, and simulation
Mishra et al. Autonomous advanced aerial mobility—An end-to-end autonomy framework for UAVs and beyond
Kumar et al. Obstacle avoidance for a swarm of unmanned aerial vehicles operating on particle swarm optimization: A swarm intelligence approach for search and rescue missions
Aibin et al. Survey of RPAS autonomous control systems using artificial intelligence
Baculi et al. Onboard decision-making for nominal and contingency sUAS flight
Lu et al. A heterogeneous unmanned ground vehicle and blimp robot team for search and rescue using data-driven autonomy and communication-aware navigation
Luo et al. Environment-centric safety requirements for autonomous unmanned systems
Phadke et al. Examining application-specific resiliency implementations in UAV swarm scenarios
Novák et al. Fast collective evasion in self-localized swarms of unmanned aerial vehicles
Dah-Achinanon et al. Search and rescue with sparsely connected swarms
Kumar et al. UAV swarm objectives: a critical analysis and comprehensive review
Biswas et al. Urban air mobility: An iot perspective
Karbasishargh et al. Innovative approaches to uav performance: enhancing safety, reliability, and flexibility
Boeing et al. WAMbot: Team MAGICian's entry to the Multi Autonomous Ground‐robotic International Challenge 2010
Albaker et al. A conceptual framework and a review of conflict sensing, detection, awareness and escape maneuvering methods for UAVs