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Topic Review
Relative Localization of Robot Swarms
For robot swarm applications, accurate positioning is one of the most important requirements for avoiding collisions and keeping formations and cooperation between individuals. However, in some worst cases, the GNSS (Global Navigation Satellite System) signals are weak due to the crowd being in a swarm or blocked by a forest, mountains, and high buildings in the environment. Thus, relative localization is an indispensable way to provide position information for the swarm.
  • 589
  • 27 Jun 2022
Topic Review
Relative Direction
The most common relative directions are left, right, forward(s), backward(s), up, and down. No absolute direction corresponds to any of the relative directions. This is a consequence of the translational invariance of the laws of physics: nature, loosely speaking, behaves the same no matter what direction one moves. As demonstrated by the Michelson-Morley null result, there is no absolute inertial frame of reference. There are definite relationships between the relative directions, however. Left and right, forward and backward, and up and down are three pairs of complementary directions, each pair orthogonal to both of the others. Relative directions are also known as egocentric coordinates.
  • 876
  • 24 Nov 2022
Topic Review
Relationship of Artificial Intelligence, Advertising, and Generative Models
Although artificial intelligence technologies have provided valuable insights into the advertising industry, more comprehensive studies that properly examine the applications of AI in advertising using scientometric network analysis are needed.
  • 689
  • 11 Mar 2024
Topic Review
Relational Cues and Tailoring of e-Coach Dialogues
Relational cues are extracts from actual verbal dialogues that help build the therapist–patient working alliance and stronger bond through the depiction of empathy, respect and openness. ECAs (Embodied conversational agents) are human-like virtual agents that exhibit verbal and non-verbal behaviours. In the digital health space, ECAs act as health coaches or experts.
  • 191
  • 12 Oct 2023
Topic Review
Reinforcement Learning, Knowledge Distillation, and Channel Pruning
The methods used for model compression and acceleration are primarily divided into five categories—network pruning, parameter quantization, low-rank decomposition, lightweight network design, and knowledge distillation—such that the scope of actions and design ideas for each method are different.
  • 171
  • 12 Dec 2023
Topic Review
Reinforcement Learning in Ad Hoc Vehicular Networks
Ad hoc vehicular networks have been identified as a suitable technology for intelligent communication amongst smart city stakeholders as the intelligent transportation system has progressed. In a highly mobile area, the growing usage of wireless technologies creates a challenging context. To increase communication reliability in this environment, it is necessary to use intelligent tools to solve the routing problem to create a more stable communication system. Reinforcement Learning (RL) is an excellent tool to solve this problem. 
  • 675
  • 01 Jul 2022
Topic Review
Reinforcement Learning
Reinforcement Learning (RL) is an approach in Machine Learning that aims to solve dynamic and complex problems, in which autonomous entities, called agents, are trained to take actions that will lead them to an optimal solution
  • 337
  • 25 Jul 2023
Topic Review
Rehabilitation Robots
Rehabilitation is the process of treating post-stroke consequences. Impaired limbs are considered the common outcomes of stroke, which require a professional therapist to rehabilitate the impaired limbs and restore fully or partially its function. Due to the shortage in the number of therapists and other considerations, researchers have been working on developing robots that have the ability to perform the rehabilitation process. During the last two decades, different robots were invented to help in rehabilitation procedures. This paper explains the types of rehabilitation treatments and robot classifications. In addition, a few examples of well-known rehabilitation robots will be explained in terms of their efficiency and controlling mechanisms
  • 4.4K
  • 03 Nov 2020
Topic Review
Registrar
{{Multiple issues| Registrar was software used in the personnel or human resources (HR) area of businesses. It was the first piece of software developed to provide HR with the ability to manage training administration, booking people on courses, sending call-up letters, and recording their attendance. It enabled HR users to build their own data dictionaries without any help from their IT people. The Registrar software was created by Silton-Bookman Systems (SBS). It was launched in the US in 1984 and became one of the leading training administration software programs on the market with over 5000 installations. It was eventually incorporated into an LMS when SBS merged with Pathlore in 2000. Therefore, Registrar itself is no longer available for sale. Pathlore was subsequently acquired by SumTotal Systems in 2005.
  • 202
  • 01 Nov 2022
Topic Review
Regional-to-Local Point-Voxel Transformer
Semantic segmentation of large-scale indoor 3D point cloud scenes is crucial for scene understanding but faces challenges in effectively modeling long-range dependencies and multi-scale features. Researchers present RegionPVT, a novel Regional-to-Local Point-Voxel Transformer that synergistically integrates voxel-based regional self-attention and window-based point-voxel self-attention for concurrent coarse-grained and fine-grained feature learning. The voxel-based regional branch focuses on capturing regional context and facilitating inter-window communication. The window-based point-voxel branch concentrates on local feature learning while integrating voxel-level information within each window.
  • 294
  • 20 Oct 2023
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