Li et al., 2017 - Google Patents
Reinforcement learning of manipulation and grasping using dynamical movement primitives for a humanoidlike mobile manipulatorLi et al., 2017
- Document ID
- 12492956913813852578
- Author
- Li Z
- Zhao T
- Chen F
- Hu Y
- Su C
- Fukuda T
- Publication year
- Publication venue
- IEEE/ASME Transactions on Mechatronics
External Links
Snippet
It is important for humanoid-like mobile robots to learn the complex motion sequences in human-robot environment such that the robots can adapt such motions. This paper describes a reinforcement learning (RL) strategy for manipulation and grasping of a mobile …
- 230000002787 reinforcement 0 title abstract description 6
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
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1602—Programme controls characterised by the control system, structure, architecture
- B25J9/1607—Calculation of inertia, jacobian matrixes and inverses
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1628—Programme controls characterised by the control loop
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Li et al. | Reinforcement learning of manipulation and grasping using dynamical movement primitives for a humanoidlike mobile manipulator | |
Liang et al. | Formation control of nonholonomic mobile robots without position and velocity measurements | |
Yang et al. | Neural-learning-based telerobot control with guaranteed performance | |
Liu et al. | Adaptive visual tracking control for manipulator with actuator fuzzy dead-zone constraint and unmodeled dynamic | |
Mester | Massive open online courses in education of robotics | |
Platt et al. | Null-space grasp control: Theory and experiments | |
Cui et al. | A Darboux-frame-based formulation of spin-rolling motion of rigid objects with point contact | |
Quigley et al. | Low-cost accelerometers for robotic manipulator perception | |
Wang et al. | A modified image-based visual servo controller with hybrid camera configuration for robust robotic grasping | |
Fang et al. | Skill learning for human-robot interaction using wearable device | |
Mukherjee et al. | Inverse kinematics of a NAO humanoid robot using kinect to track and imitate human motion | |
Mirza et al. | Simultaneous learning and control of parallel Stewart platforms with unknown parameters | |
Han et al. | Modified dynamic movement primitives: robot trajectory planning and force control under curved surface constraints | |
Siradjuddin et al. | Image Based Visual Servoing of a 7 DOF robot manipulator using a distributed fuzzy proportional controller | |
Liang et al. | An Augmented Discrete‐Time Approach for Human‐Robot Collaboration | |
JP2022176917A (en) | Method for controlling robot device | |
Seo et al. | Deep imitation learning for humanoid loco-manipulation through human teleoperation | |
Nozaki et al. | Motion expression by elemental separation of haptic information | |
Ren et al. | Integrated task sensing and whole body control for mobile manipulation with series elastic actuators | |
Ortenzi et al. | Kinematics-based estimation of contact constraints using only proprioception | |
Suh et al. | Seed: Series elastic end effectors in 6d for visuotactile tool use | |
Yigit et al. | External force/torque estimation with only position sensors for antagonistic VSAs | |
Heins et al. | Mobile manipulation in unknown environments with differential inverse kinematics control | |
Yang et al. | Whole-body fuzzy based impedance control of a humanoid wheeled robot | |
Lim et al. | Online telemanipulation framework on humanoid for both manipulation and imitation |