[go: up one dir, main page]

Park et al., 2012 - Google Patents

ITOMP: Incremental trajectory optimization for real-time replanning in dynamic environments

Park et al., 2012

View PDF
Document ID
7872274731542973760
Author
Park C
Pan J
Manocha D
Publication year
Publication venue
Proceedings of the international conference on automated planning and scheduling

External Links

Snippet

We present a novel optimization-based algorithm for motion planning in dynamic environments. Our approach uses a stochastic trajectory optimization framework to avoid collisions and satisfy smoothness and dynamics constraints. Our algorithm does not require …
Continue reading at ojs.aaai.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/18Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/41Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by interpolation, e.g. the computation of intermediate points between programmed end points to define the path to be followed and the rate of travel along that path
    • G05B19/4103Digital interpolation
    • 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
    • G05B2219/39Robotics, robotics to robotics hand
    • 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
    • G05B2219/50Machine tool, machine tool null till machine tool work handling
    • G05B2219/50109Soft approach, engage, retract, escape, withdraw path for tool to workpiece
    • 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
    • G05B2219/40Robotics, robotics mapping to robotics vision
    • 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
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • 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
    • 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
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • 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
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1674Programme controls characterised by safety, monitoring, diagnostic
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1602Programme controls characterised by the control system, structure, architecture
    • B25J9/1607Calculation of inertia, jacobian matrixes and inverses

Similar Documents

Publication Publication Date Title
Park et al. ITOMP: Incremental trajectory optimization for real-time replanning in dynamic environments
Sun et al. High-frequency replanning under uncertainty using parallel sampling-based motion planning
Pant et al. Fly-by-logic: Control of multi-drone fleets with temporal logic objectives
Narayanan et al. Anytime safe interval path planning for dynamic environments
Althoff et al. Safety assessment of robot trajectories for navigation in uncertain and dynamic environments
Shiller Off-line and on-line trajectory planning
Chaimowicz et al. A paradigm for dynamic coordination of multiple robots
Pradhan et al. Potential field method to navigate several mobile robots
CN116834014B (en) Intelligent cooperative control method and system for capturing non-cooperative targets by space dobby robot
CN112428278A (en) Control method and device of mechanical arm and training method of man-machine cooperation model
Van Den Berg et al. Optimal reciprocal collision avoidance for multi-agent navigation
Mohamed et al. Toward efficient MPPI trajectory generation with unscented guidance: U-MPPI control strategy
CN114211495B (en) Self-adaptive track optimization method and system for semiconductor wafer conveying mechanical arm
Quinones-Ramirez et al. Robot path planning using deep reinforcement learning
Patle et al. Optimal trajectory planning of the industrial robot using hybrid S-curve-PSO approach
JP7180696B2 (en) Control device, control method and program
Zhou et al. Parallel MPPI with gradient-velocity modulated SDF cost for high-performance real-time dynamic obstacle avoidance by robot manipulators
Mora et al. Path planning and trajectory generation using multi-rate predictive artificial potential fields
Yang et al. Anytime RRBT for handling uncertainty and dynamic objects
Iftikhar et al. Nonlinear model predictive control of an overhead laboratory-scale gantry crane with obstacle avoidance
Rahul et al. Deep reinforcement learning with inverse jacobian based model-free path planning for deburring in complex industrial environment
Farkhatdinov et al. Improving mobile robot bilateral teleoperation by introducing variable force feedback gain
Vatcha et al. Detection of robustly collision-free trajectories in unpredictable environments in real-time
Mohaghegh et al. New design of smooth PSO-IPF navigator with kinematic constraints
Furlán et al. Humanoid robot hierarchical navigation using Petri nets and fuzzy logic