Algorithms for Sensor-based Robotics : Sampling-based Path PlanningPlaku, Erion
Introduction to Mobile Robotics: Iterative Closest Point Algorithm FastSLAM 1.0 This is a feature based SLAM example using FastSLAM 1.0. The blue line is ground truth, the black line is dead reckoning, the red line is the estimated trajectory with FastSLAM. The red points are particles of Fast...
state-of-the-art in the field of swarm robotics utilizing reinforcement learning. Additionally, we review the various simulators used to train, validate and simulate swarms ofunmanned vehicles. We finalize our review by discussing our findings and the possible directions for future research. Overall,...
The technology paves the way for micro-localization applications in a wide range of domains: from secure (keyless) access and AR/VR gaming to asset tracking and robotics. Ultra wideband technology is perfectly suited to support a variety of high accuracy and secure wireless ranging use-cases. ...
Introduction to Mobile Robotics: Iterative Closest Point Algorithm FastSLAM 1.0 This is a feature based SLAM example using FastSLAM 1.0. The blue line is ground truth, the black line is dead reckoning, the red line is the estimated trajectory with FastSLAM. The red points are particles of Fast...
Smart Sensor networks (SSNs) have surfaced as one of the most promising technologies of the Twenty First century by revolutionising the way in which the dynamic environments are monitored. The availability of economical micro sensors and the knowledge of
Sensor Networks Federated Edge Learning Cross-Layer Optimization with AI Programmable Service Interfaces Wireless Communication Technologies Underwater and Underground Networks Artificial Intelligence and Machine Learning Information Processing and Data Management Algorithms, Systems, and Applications of Internet of ...
The main objective of this work is to develop a wearable-sensor-based IoT platform for gesture recognition in children with autism spectrum disorder (ASD). We achieve an accuracy of about 91% with most of the classifiers using dataset cross-validation and leave-one-person-out cross-validation....
for current prosthesis technology, assistance, and rehabilitation might be a system integrating BCI, robotics, neuroscience, machine learning, and deep learning. BCI may also help to improve or restore the motor skills that the brain has lost. BCI provides easy-to-use technological assistance and ...
algorithms.Inreinforcement learning, the algorithm learns by interacting with an environment, receiving feedback in the form of rewards or penalties, and adjusting its actions to maximize the cumulative rewards. This approach is commonly used for tasks like game playing, robotics and autonomous ...