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Multiobjective optimization-based trajectory planning for laser 3D scanner robots
In our industrial material defect detecting processes, the multi criteria is considered in two-level motion planning structure. Firstly, the feed...
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Development of a leech-inspired peristaltic crawling soft robot for intestine inspection
The development of a non-destructive and patient-friendly method for examining the intestines is crucial for early prevention and timely diagnosis of...
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Review of vision-based reinforcement learning for drone navigation
In recent years, Unmanned aerial vehicles (UAVs) have witnessed a surge in popularity and implementation for both civilian and military usage. UAVs...
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Nonlinear modeling and designing transition flight control scenarios for a dual thrust hybrid UAV
Researchers have recently focused on studying the flight dynamics and control of multicopters and fixed-wing aerial vehicles. However, investigating...
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A human–robot interaction control strategy for teleoperation robot system under multi-scenario applications
The teleoperation robot system (TRS) stands as a prominent research frontier within robot control, amalgamating human decision-making capacity with...
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Implementation of extended kalman filter for localization of ambulance robot
This paper focuses on the implementation of the Extended Kalman Filter for indoor localization of a semi-autonomous Ambulance Robot system named...
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Four development stages of collective intelligence
The new generation of artificial intelligence (AI) research initiated by Chinese scholars conforms to the needs of a new information environment...
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Example-driven trajectory learner for robots under structured static environment
With the breakthroughs in machine learning and computing infrastructures that have led to significant performance improvements in cognitive robotics,...
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Design optimisation and an experimental assessment of soft actuator for robotic gras**
Many robotic systems face substantial challenges when trying to grasp and manipulate objects. Thought of initially as humanoid automata a century...
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Predicting the robot's grip capacity on different objects using multi-object gras**
This study explores the novel concept of Multi-Object Gras** (MOG) and develops an architecture based on autoencoders and transformers for accurate...
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ROS-based multi-sensor integrated localization system for cost-effective and accurate indoor navigation system
Accurate localization is essential for enabling intelligent autonomous navigation in indoor environments. While global navigation satellite systems...
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Automated classification of electrical network high-voltage tower insulator cleanliness using deep neural networks
String insulators are components in high-voltage towers responsible for preventing energy dissipation through the tower structure; that is, they are...
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Nonlinear modelling and dynamics of spatial multi-link rigid-flexible manipulator with moving platform
The demand for develo** lighter manipulators, particularly in various long-reach applications, has surged significantly. In many of these...
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Asymmetric time-varying integral barrier Lyapunov function based adaptive optimal control for nonlinear systems with dynamic state constraints
This paper investigates the issue of adaptive optimal tracking control for nonlinear systems with dynamic state constraints. An asymmetric...
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Transformer in reinforcement learning for decision-making: a survey
Reinforcement learning (RL) has become a dominant decision-making paradigm and has achieved notable success in many real-world applications. Notably,...
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Multi-agent reinforcement learning behavioral control for nonlinear second-order systems
Reinforcement learning behavioral control (RLBC) is limited to an individual agent without any swarm mission, because it models the behavior priority...
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PEGA: probabilistic environmental gradient-driven genetic algorithm considering epigenetic traits to balance global and local optimizations
Epigenetics’ flexibility in terms of finer manipulation of genes renders unprecedented levels of refined and diverse evolutionary mechanisms...
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Enhancing action discrimination via category-specific frame clustering for weakly-supervised temporal action localization
Temporal action localization (TAL) is a task of detecting the start and end timestamps of action instances and classifying them in an untrimmed...
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A multi-agent collaboration scheme for energy-efficient task scheduling in a 3D UAV-MEC space
Multi-access edge computing (MEC) presents computing services at the edge of networks to address the enormous processing requirements of intelligent...