Obstacle avoidance of redundant manipulators using neural networks based reinforcement learning
M Duguleana, FG Barbuceanu, A Teirelbar… - Robotics and Computer …, 2012 - Elsevier
This paper proposes a new approach for solving the problem of obstacle avoidance during
manipulation tasks performed by redundant manipulators. The developed solution is based …
manipulation tasks performed by redundant manipulators. The developed solution is based …
Li-function activated ZNN with finite-time convergence applied to redundant-manipulator kinematic control via time-varying Jacobian matrix pseudoinversion
This paper presents and investigates the application of Zhang neural network (ZNN)
activated by Li function to kinematic control of redundant robot manipulators via time-varying …
activated by Li function to kinematic control of redundant robot manipulators via time-varying …
Real-time inverse kinematics of redundant manipulators using neural networks and quadratic programming: A Lyapunov-based approach
In this paper, an online adaptive strategy based on the Lyapunov stability theory is
presented to solve the inverse kinematics of redundant manipulators. In the proposed …
presented to solve the inverse kinematics of redundant manipulators. In the proposed …
Image-based visual servoing of a 7-DOF robot manipulator using an adaptive distributed fuzzy PD controller
This paper is concerned with the design and implementation of a distributed proportional-
derivative (PD) controller of a 7-degrees of freedom (DOF) robot manipulator using the …
derivative (PD) controller of a 7-degrees of freedom (DOF) robot manipulator using the …
Pseudoinverse-type bi-criteria minimization scheme for redundancy resolution of robot manipulators
B Liao, W Liu - Robotica, 2015 - cambridge.org
In this paper, a pseudoinverse-type bi-criteria minimization scheme is proposed and
investigated for the redundancy resolution of robot manipulators at the joint-acceleration …
investigated for the redundancy resolution of robot manipulators at the joint-acceleration …
Learning framework for inverse kinematics of a highly redundant mobile manipulator
R Raja, A Dutta, B Dasgupta - Robotics and Autonomous Systems, 2019 - Elsevier
A learning framework is proposed to solve the inverse kinematic problems of a highly
redundant mobile manipulator designed to traverse on rough terrains. The problem is not …
redundant mobile manipulator designed to traverse on rough terrains. The problem is not …
Implicit sensorimotor map** of the peripersonal space by gazing and reaching
Primates often perform coordinated eye and arm movements, contextually fixating and
reaching towards nearby objects. This combination of looking and reaching to the same …
reaching towards nearby objects. This combination of looking and reaching to the same …
Cerebellum-inspired neural network solution of the inverse kinematics problem
The demand today for more complex robots that have manipulators with higher degrees of
freedom is increasing because of technological advances. Obtaining the precise movement …
freedom is increasing because of technological advances. Obtaining the precise movement …
Robust Kalman filtering cooperated Elman neural network learning for vision-sensing-based robotic manipulation with global stability
X Zhong, X Zhong, X Peng - Sensors, 2013 - mdpi.com
In this paper, a global-state-space visual servoing scheme is proposed for uncalibrated
model-independent robotic manipulation. The scheme is based on robust Kalman filtering …
model-independent robotic manipulation. The scheme is based on robust Kalman filtering …
Adaptive critic based optimal kinematic control for a robot manipulator
This paper is concerned with the optimal kinematic control of a robot manipulator where the
robot end effector position follows a task space trajectory. The joints are actuated with the …
robot end effector position follows a task space trajectory. The joints are actuated with the …