Robotics and Motion Technologies

The focus of this cluster is on the development and application of inertial sensor technologies for various practical purposes, including navigation and state estimation. Research includes calibration methods and advancements in visual-inertial state estimation for robotics.

22686 papers

This cluster provides insights into sophisticated control techniques applied to robotic systems, enhancing their performance and adaptability. The research spans layered control systems and feedback mechanisms.

21128 papers

This area investigates various methods and strategies for controlling robotic systems effectively. It aims to refine control techniques to enhance the performance and precision of manipulative tasks.

20514 papers

Focusing on the study of kinematics in robotics, this cluster includes research on mechanisms, degrees of freedom, and the accuracy of kinematic models. It explores designs that enhance the movement capabilities of robotic systems.

19496 papers

This cluster focuses on the methodologies and techniques used in computer vision for recognizing and classifying human actions in various contexts. Research spans from skeleton sequence representations to unique parameters for estimating movements of rigid objects, with an emphasis on improving recognition accuracy.

16362 papers

This cluster emphasizes techniques for tracking multiple objects in various environments through advanced filtering methods. Technologies developed in this area have applications in surveillance, robotics, and automated tracking systems.

14278 papers

This area of research is centered on using lidar technology for odometry and mapping in robotic applications. It covers various approaches for improving mapping accuracy and processing speed in diverse terrains, facilitating real-time operations.

13319 papers

This cluster emphasizes research into navigation and grasping algorithms for robots, focusing on methods that improve the accuracy and efficiency of robotic grasping and navigation in varied environments.

12875 papers

This research area centers on visual servoing, where visual feedback is employed to control robot movements. It encompasses various techniques from basic tutorials to advanced methodologies for effective visual control in robotic systems.

7415 papers

This cluster looks into algorithms and methodologies developed for efficient robotic path planning, addressing challenges in route optimization and navigation in complex environments. Research includes various algorithmic approaches.

7226 papers

Research in this area focuses on the implementation of robotics for industrial inspection and maintenance activities. It covers various applications, from in-pipe inspections to oil and gas industry technologies.

5685 papers

Research in this cluster pertains to the application of robotic systems in educational settings, discussing their potential benefits and challenges in implementing robotics in various educational contexts. It includes studies on their role in enhancing Industry 4.0.

5466 papers

The focus here is on the design and control of dexterous robotic manipulators that can perform complex tasks. This cluster addresses challenges in creating highly versatile robots capable of intricate movements.

5406 papers

This cluster addresses the methodologies used in gait analysis and motion sensing to understand human and robotic movement patterns. It includes techniques for analyzing electromyography signals and creating reliable gait detection systems.

4176 papers

This cluster investigates the development of models for motor control and trajectory planning in robotic systems. It focuses on understanding the mechanisms of motor functions in relation to robotic movements.

3898 papers

This cluster investigates the integration of robotics into industrial manufacturing environments, including defect detection, manufacturing skills, and the evolution of YOLO technology for digital manufacturing. It emphasizes practical applications and deployments in real-world manufacturing scenarios.

3613 papers

Focused on simultaneous localization and mapping (SLAM) alongside real-time motion planning algorithms, this cluster examines techniques that enable robots to navigate and map unfamiliar environments. Key research includes motion planning algorithms that ensure efficient robot pathfinding.

3303 papers

This cluster investigates various techniques for pose estimation in robotic applications, focusing on innovative algorithms and sensor technologies that enhance the accuracy of spatial positioning.

3165 papers

This cluster examines the application of robotic technologies in navigation tasks, specifically in challenging environments. It includes methodologies that assist in mapping and navigation control for various robotic systems.

3113 papers

This research area studies the application of robotics in agricultural harvesting processes, involving the development of autonomous robotic systems capable of effectively picking fruits and crops.

2950 papers

Focusing on measurement and positioning technologies, this cluster studies the integration of robotic systems in monitoring and calibration tasks. It emphasizes real-time applications in construction and infrastructure.

2469 papers

Research in this area centers on methods for identifying key parameters influencing robotic performance. It includes studies on dynamics and real-time monitoring to enhance robotic control and functionality.

1946 papers

The focus here is on developing calibration methods specifically for robotic kinematics to ensure high-performance accuracy in robotic movements. Research includes novel methodologies tailored for specific robotic applications.

1749 papers

This area explores the integration of multiple sensor technologies within industrial robotics to enhance operational capabilities like positioning and tracking. It focuses on developing probes, networks, and systems for improved industrial efficiency.

1700 papers

This cluster focuses on state estimation techniques and calibration methods for enhancing the accuracy of robotic systems. It includes studies on filtering methods and their applications in practical robotic scenarios.

1568 papers

This research area delves into methods for position estimation in robotic systems, emphasizing sensor-based schemes that enhance the accuracy of identifying locations within the robotics domain. It includes novel approaches for specific motor types.

1456 papers

Research in this area focuses on the calibration methodologies for industrial robots to ensure accurate operational performance. It covers various calibration methods and their application in enhancing robotic inspection and maintenance systems.

1439 papers

Research in this cluster pertains to the application of robotics in the recycling processes of automotive components, particularly electric vehicle batteries. It explores advancements in robotic disassembly, energy efficiency, and precise positioning within recycling operations.

1218 papers

This cluster focuses on the utilization of RGB-D cameras for robotic object manipulation tasks, including pose estimation and object recognition in cluttered environments. Research emphasizes CAD-based methods for efficient manipulation.

817 papers