Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
Human-like arm motion generation: A review
In the last decade, the objectives outlined by the needs of personal robotics have led to the
rise of new biologically-inspired techniques for arm motion planning. This paper presents a …
rise of new biologically-inspired techniques for arm motion planning. This paper presents a …
Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results
In this paper, an improved recurrent neural network (RNN) scheme is proposed to perform
the trajectory control of redundant robot manipulators using remote center of motion (RCM) …
the trajectory control of redundant robot manipulators using remote center of motion (RCM) …
An incremental learning framework for human-like redundancy optimization of anthropomorphic manipulators
Recently, the human-like behavior on the anthropomorphic robot manipulator is increasingly
accomplished by the kinematic model establishing the relationship of an anthropomorphic …
accomplished by the kinematic model establishing the relationship of an anthropomorphic …
Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction
The accuracy of trajectory tracking and stable operation with heavy load are the main
challenges of parallel mechanism for wheel-legged robots, especially in complex road …
challenges of parallel mechanism for wheel-legged robots, especially in complex road …
DCNN based human activity recognition framework with depth vision guiding
The smartphone-based human activity recognition (HAR) provides abundant healthcare
guidance for telemedicine and clinic treatment. The continually increasing daily activities …
guidance for telemedicine and clinic treatment. The continually increasing daily activities …
Parallel structure of six wheel-legged robot trajectory tracking control with heavy payload under uncertain physical interaction
Purpose This paper aims on the trajectory tracking of the developed six wheel-legged robot
with heavy load conditions under uncertain physical interaction. The accuracy of trajectory …
with heavy load conditions under uncertain physical interaction. The accuracy of trajectory …
Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot
AJ Humaidi, HT Najem, AQ Al-Dujaili… - Measurement and …, 2021 - journals.sagepub.com
This paper presents control design based on an Interval Type-2 Fuzzy Logic (IT2FL) for the
trajectory tracking of 3-RRR (3-Revolute-Revolute-Revolute) planar parallel robot. The …
trajectory tracking of 3-RRR (3-Revolute-Revolute-Revolute) planar parallel robot. The …
Neural approximation-based model predictive tracking control of non-holonomic wheel-legged robots
This paper proposes a neural approximation based model predictive control approach for
tracking control of a nonholonomic wheel-legged robot in complex environments, which …
tracking control of a nonholonomic wheel-legged robot in complex environments, which …
Biomimetic approaches for human arm motion generation: literature review and future directions
In recent years, numerous studies have been conducted to analyze how humans
subconsciously optimize various performance criteria while performing a particular task …
subconsciously optimize various performance criteria while performing a particular task …