Nothing Special   »   [go: up one dir, main page]

Fan et al., 2019 - Google Patents

Getting robots unfrozen and unlost in dense pedestrian crowds

Fan et al., 2019

View PDF
Document ID
4402046204923989664
Author
Fan T
Cheng X
Pan J
Long P
Liu W
Yang R
Manocha D
Publication year
Publication venue
IEEE Robotics and Automation Letters

External Links

Snippet

Our goal is to navigate a mobile robot to navigate through environments with dense crowds, eg, shopping malls, canteens, train stations, or airport terminals. In these challenging environments, existing approaches suffer from two common problems: the robot may get …
Continue reading at arxiv.org (PDF) (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
    • G05D1/02—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
    • G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
    • 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
    • G05D1/0242—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using non-visible light signals, e.g. IR or UV signals
    • 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
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • 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
    • 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
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D2201/00—Application
    • G05D2201/02—Control of position of land vehicles
    • 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
Fan et al. Getting robots unfrozen and unlost in dense pedestrian crowds
Sathyamoorthy et al. Densecavoid: Real-time navigation in dense crowds using anticipatory behaviors
Jin et al. Mapless navigation among dynamics with social-safety-awareness: a reinforcement learning approach from 2d laser scans
Sadeghi et al. Cad2rl: Real single-image flight without a single real image
Müller et al. Socially inspired motion planning for mobile robots in populated environments
Fernández et al. Improving collision avoidance for mobile robots in partially known environments: the beam curvature method
Chen et al. Interactive model predictive control for robot navigation in dense crowds
US20090234499A1 (en) System and method for seamless task-directed autonomy for robots
Butzke et al. State lattice with controllers: Augmenting lattice-based path planning with controller-based motion primitives
Lorente et al. Model-based robocentric planning and navigation for dynamic environments
Sundarraj et al. Route planning for an autonomous robotic vehicle employing a weight-controlled particle swarm-optimized Dijkstra algorithm
Eiffert et al. Resource and response aware path planning for long-term autonomy of ground robots in agriculture
Aizat et al. A Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment Toward Autonomous Capability
Mohamed et al. GP-guided MPPI for efficient navigation in complex unknown cluttered environments
Agha-mohammadi et al. SLAP: Simultaneous localization and planning under uncertainty for physical mobile robots via dynamic replanning in belief space: Extended version
Xu et al. Avoidance of manual labeling in robotic autonomous navigation through multi-sensory semi-supervised learning
Stein et al. Navigating in populated environments by following a leader
Palm et al. Fuzzy Modeling and Control for Intention Recognition in Human-robot Systems.
Bayoumi et al. Learning foresighted people following under occlusions
Fabiani et al. Tracking an unpredictable target among occluding obstacles under localization uncertainties
Zhang et al. Motion prediction based on multiple futures for dynamic obstacle avoidance of mobile robots
Neuman et al. Anytime policy planning in large dynamic environments with interactive uncertainty
Primatesta et al. Dynamic trajectory planning for mobile robot navigation in crowded environments
Kangutkar et al. ROS navigation stack for smart indoor agents
Martinez-Baselga et al. RUMOR: Reinforcement learning for Understanding a Model of the Real World for Navigation in Dynamic Environments