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Advancements in humanoid robots: A comprehensive review and future prospects
This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …
prospects of humanoid robots, highlighting their significance in driving the evolution of next …
A study on quadruped mobile robots
H Taheri, N Mozayani - Mechanism and Machine Theory, 2023 - Elsevier
In recent years, quadruped mobile robots' development had experienced rapid progress,
which has subsequently increased their usage in many human-assisted applications …
which has subsequently increased their usage in many human-assisted applications …
Observer-Based Neural Control of N-Link Flexible-Joint Robots
This article concentrates on the adaptive neural control approach of-link flexible-joint
electrically driven robots. The presented control method only needs to know the position and …
electrically driven robots. The presented control method only needs to know the position and …
Neural control of robot manipulators with trajectory tracking constraints and input saturation
This article presents a control scheme for the robot manipulator's trajectory tracking task
considering output error constraints and control input saturation. We provide an alternative …
considering output error constraints and control input saturation. We provide an alternative …
Openstreetmap-based autonomous navigation for the four wheel-legged robot via 3d-lidar and ccd camera
OpenStreetMap (OSM) is widely used in outdoor navigation research recently, which is
publicly available and can provide a wide range of road information for outdoor robot …
publicly available and can provide a wide range of road information for outdoor robot …
Dynamic movement primitives based robot skills learning
In this article, a robot skills learning framework is developed, which considers both motion
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …
A learning-based stable servo control strategy using broad learning system applied for microrobotic control
As the controller parameter adjustment process is simplified significantly by using learning
algorithms, the studies about learning-based control attract a lot of interest in recent years …
algorithms, the studies about learning-based control attract a lot of interest in recent years …
Adaptive finite-time fuzzy control of nonlinear active suspension systems with input delay
This paper presents a new adaptive fuzzy control scheme for active suspension systems
subject to control input time delay and unknown nonlinear dynamics. First, a predictor-based …
subject to control input time delay and unknown nonlinear dynamics. First, a predictor-based …
Prodmp: A unified perspective on dynamic and probabilistic movement primitives
Movement Primitives (MPs) are a well-known concept to represent and generate modular
trajectories. MPs can be broadly categorized into two types:(a) dynamics-based approaches …
trajectories. MPs can be broadly categorized into two types:(a) dynamics-based approaches …
A review on manipulation skill acquisition through teleoperation‐based learning from demonstration
Manipulation skill learning and generalisation have gained increasing attention due to the
wide applications of robot manipulators and the spurt of robot learning techniques …
wide applications of robot manipulators and the spurt of robot learning techniques …