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

NUTAN, 2012 - Google Patents

Human-Robot Cooperative Grasping

NUTAN, 2012

View PDF
Document ID
1774556291692769286
Author
NUTAN C
Publication year

External Links

Snippet

In the field of robotics, teleoperation and grasping make sense and play a valuable role, whether in terms of entertainment or practical application. It is meaningful for robots to imitate human and finish some tasks such as grasping. With these abilities, robots can really …
Continue reading at core.ac.uk (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/40—Robotics, robotics mapping to robotics vision
    • G05B2219/40053—Pick 3-D object from pile of objects
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/39—Robotics, robotics to robotics hand

Similar Documents

Publication Publication Date Title
US20210205986A1 (en) Teleoperating Of Robots With Tasks By Mapping To Human Operator Pose
Li et al. Survey on mapping human hand motion to robotic hands for teleoperation
Natale et al. A sensitive approach to grasping
Becker et al. GripSee: A gesture-controlled robot for object perception and manipulation
Beetz et al. Generality and legibility in mobile manipulation: Learning skills for routine tasks
US20210394362A1 (en) Information processing device, control method, and program
Liang et al. An Augmented Discrete‐Time Approach for Human‐Robot Collaboration
Pierce et al. A data-driven method for determining natural human-robot motion mappings in teleoperation
Devine et al. Real time robotic arm control using hand gestures with multiple end effectors
Li et al. Neural learning and kalman filtering enhanced teaching by demonstration for a baxter robot
Chen et al. A human–robot interface for mobile manipulator
Su et al. Sensor fusion-based anthropomorphic control of under-actuated bionic hand in dynamic environment
Chen et al. Human-aided robotic grasping
Khadivar et al. Adaptive fingers coordination for robust grasp and in-hand manipulation under disturbances and unknown dynamics
Kragic et al. A framework for visual servoing
Galbraith et al. A neural network-based exploratory learning and motor planning system for co-robots
Xue et al. Gesture-and vision-based automatic grasping and flexible placement in teleoperation
Falck et al. DE VITO: A dual-arm, high degree-of-freedom, lightweight, inexpensive, passive upper-limb exoskeleton for robot teleoperation
Lopez et al. Taichi algorithm: Human-like arm data generation applied on non-anthropomorphic robotic manipulators for demonstration
NUTAN Human-Robot Cooperative Grasping
Bodenstedt et al. Learned partial automation for shared control in tele-robotic manipulation
Shintani et al. Object grasping instructions to support robot by laser beam one drag operations
Chen et al. Intuitive interaction for robotic grasping
Wang et al. Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach
Pfanne In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands