[go: up one dir, main page]

Nath et al., 2020 - Google Patents

Communication qos-aware navigation of autonomous robots for effective coordination

Nath et al., 2020

Document ID
3617199746847986226
Author
Nath A
Niyogi R
Publication year
Publication venue
International Conference on Advanced Information Networking and Applications

External Links

Snippet

Multi-robot coordination can be achieved by either implicit or explicit communication. Most multi-robot searching approaches (eg, USAR) assume that robots maintain wireless communication with each other during searching. The use of explicit communication can …
Continue reading at link.springer.com (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
    • G05D1/0287Control 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
    • G05D1/0297Fleet control by controlling means in a control room
    • 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
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/48Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues

Similar Documents

Publication Publication Date Title
Banfi et al. Strategies for coordinated multirobot exploration with recurrent connectivity constraints
Hayat et al. Multi-objective UAV path planning for search and rescue
Curiac Towards wireless sensor, actuator and robot networks: Conceptual framework, challenges and perspectives
Mi et al. Restoring connectivity of mobile robotic sensor networks while avoiding obstacles
Mishra et al. A high-end IoT devices framework to foster beyond-connectivity capabilities in 5G/B5G architecture
Scherer et al. Short and full horizon motion planning for persistent multi-UAV surveillance with energy and communication constraints
Wei et al. Altruistic coordination for multi-robot cooperative pathfinding
Barrameda et al. Uniform dispersal of asynchronous finite-state mobile robots in presence of holes
Berndt et al. Centralized robotic fleet coordination and control
Oda et al. Performance evaluation of a deep Q-network based simulation system for actor node mobility control in wireless sensor and actor networks considering different distributions of events
Gao et al. Multirobot charging strategies: A game-theoretic approach
Shabir et al. A federated multi-agent deep reinforcement learning for vehicular fog computing
Dah-Achinanon et al. Search and rescue with sparsely connected swarms
Nath et al. Communication qos-aware navigation of autonomous robots for effective coordination
Li et al. Long-term pattern formation and maintenance for battery-powered robots
Al-Kharsan et al. Expansion of high-voltage overhead transmission lines to remote areas
WO2023232374A1 (en) Multi-agent reinforcement learning processes
Benavides et al. Multi-robot Cooperative Systems for Exploration: Advances in dealing with constrained communication environments
Kuleshov et al. The development of soft defined distributed infocommunication systems architecture based on the active data technology
Saadaoui et al. Communication and energy optimization of local PSO-assisted multi-UAVs for moving targets exploration
Sprodowski et al. Dynamic-priority-based DMPC with an occupancy grid for mobile systems
Rodríguez-Seda et al. Decentralized persistent area coverage control with loss of awareness
Varughese et al. swarmfstaxis: Borrowing a swarm communication mechanism from fireflies and slime mold
DiLeo et al. Communications aware decentralized model predictive control for path planning within UUV swarms
Li et al. Wireless Resource Optimization for UAV Swarm Cooperative Sensing via Multi-agent Multi-task Deep Reinforcement Learning