[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Phaniteja et al., 2018 - Google Patents

Learning dual arm coordinated reachability tasks in a humanoid robot with articulated torso

Phaniteja et al., 2018

Document ID
11480825411556066887
Author
Phaniteja S
Dewangan P
Guhan P
Krishna K
Sarkar A
Publication year
Publication venue
2018 IEEE-RAS 18th international conference on humanoid robots (Humanoids)

External Links

Snippet

Performing dual arm coordinated (reachability) tasks in humanoid robots require complex planning strategies and this complexity increases further, in case of humanoids with articulated torso. These complex strategies may not be suitable for online motion planning …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • 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
    • G05B2219/40053Pick 3-D object from pile of objects
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1628Programme controls characterised by the control loop
    • B25J9/163Programme controls characterised by the control loop learning, adaptive, model based, rule based expert control
    • 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
    • G05B13/027Adaptive 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 using neural networks only
    • 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

Similar Documents

Publication Publication Date Title
Chen et al. A deep reinforcement learning based method for real-time path planning and dynamic obstacle avoidance
Yuan et al. Design and control of roller grasper v2 for in-hand manipulation
Chyan et al. Obstacle avoidance control of redundant robots using variants of particle swarm optimization
Cohen et al. Search-based planning for manipulation with motion primitives
Chung et al. Contact-consistent elastic strips for multi-contact locomotion planning of humanoid robots
Hua et al. Reinforcement learning-based collision-free path planner for redundant robot in narrow duct
Ewerton et al. Learning trajectory distributions for assisted teleoperation and path planning
Omrčen et al. Autonomous acquisition of pushing actions to support object grasping with a humanoid robot
Vochten et al. Generalizing demonstrated motion trajectories using coordinate-free shape descriptors
Gienger et al. Task maps in humanoid robot manipulation
Xue et al. Automatic optimal grasp planning based on found contact points
Duan et al. Learning to avoid obstacles with minimal intervention control
Dewangan et al. Digrad: Multi-task reinforcement learning with shared actions
US11752623B2 (en) Simulating task performance of virtual characters
Phaniteja et al. Learning dual arm coordinated reachability tasks in a humanoid robot with articulated torso
Sun et al. Characterizing continuous manipulation families for dexterous soft robot hands
He et al. A distributed optimal control framework for multi-robot cooperative manipulation in dynamic environments
Ewerton et al. Reinforcement learning of trajectory distributions: Applications in assisted teleoperation and motion planning
Abainia et al. Bio-inspired approach for inverse kinematics of 6-dof robot manipulator with obstacle avoidance
Burkhardt et al. Proprioceptive inference for dual-arm grasping of bulky objects using robosimian
Li et al. Target dynamic grasping during mobile robot movement based on learning methods
Raina et al. AI-Based Modeling and Control of Robotic Systems: A Brief Tutorial
Jäkel et al. Learning of generalized manipulation strategies in the context of programming by demonstration
Rincon et al. A grasp synthesis method for a three finger gripper
Phaniteja et al. Learning Coordinated Tasks using Reinforcement Learning in Humanoids