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Topic Review
Intelligent Drone Swarms in Post-Disaster Areas
Drone Swarms Routing Problem (DSRP), which consists of identifying the maximum number of victims in post-disaster areas. The post-disaster area is modeled in a complete graph, where each search location is represented by a vertex, and the edges are the shortest paths between destinations, with an associated weight, corresponding to the battery consumption to fly to a location. In addition, in the DSRP addressed here, a set of drones are deployed in a cooperative drone swarms approach to boost the search. In this context, a V-shaped formation is applied with leader replacements, which allows energy saving.
  • 150
  • 07 Dec 2023
Topic Review
Implicit Shape Model Trees
“Active Scene Recognition” (ASR) is an approach for mobile robots to identify scenes in configurations of objects spread across dense environments. This identification is enabled by intertwining the robotic object search and the scene recognition on already detected objects. “Implicit Shape Model (ISM) trees” are proposed as the scene model underpinning the ASR approach. These trees are a hierarchical model of multiple interconnected ISMs.
  • 120
  • 04 Dec 2023
Topic Review
Educational Robotics Program Impacts in Early Childhood
Engaging educational programs that involve science, technology, engineering and mathematics (STEM) with young children are of critical importance because such a curriculum is often underdeveloped in early childhood education. Robotics education remains relatively sparse for the youngest of learners; however, several robotics programs have been implemented in school settings, and research is emerging measuring their effectiveness and impact.
  • 212
  • 04 Dec 2023
Topic Review
Core Challenges for Multi-Robot-Path-Planning Algorithms
The benefits of multi-robot systems are substantial, bringing gains in efficiency, quality, and cost, and they are useful in a wide range of environments from warehouse automation, to agriculture and even extend in part to entertainment. In multi-robot system research, the main focus is on ensuring efficient coordination in the operation of the robots, both in task allocation and navigation. However, much of this research seldom strays from the theoretical bounds; there are many reasons for this, with the most-prominent and -impactful being resource limitations. This is especially true for research in areas such as multi-robot path planning (MRPP) and navigation coordination. This is a large issue in practice as many approaches are not designed with meaningful real-world implications in mind and are not scalable to large multi-robot systems. 
  • 232
  • 01 Dec 2023
Topic Review
3D Object Detection Methods
Effective environmental perception is critical for autonomous driving; thus, the perception system requires collecting 3D information of the surrounding objects, such as their dimensions, locations, and orientation in space.
  • 232
  • 27 Nov 2023
Topic Review
Multi-Robot Exploration and Optimization Methods
Exploring unknown environments using multiple robots has numerous applications in various fields but remains a challenging task. This entry proposes a novel hybrid optimization method called Hybrid Vulture-Coordinated Multi-Robot Exploration (HVCME), which combines Coordinated Multi-Robot Exploration (CME) and African Vultures Optimization Algorithm (AVOA) to optimize the construction of a finite map in multi-robot exploration. The researchers compared HVCME with four other similar algorithms using three performance measures: run time, percentage of the explored area, and the number of times the method failed to complete a run. The experimental results show that HVCME outperforms the other four methods, demonstrating its effectiveness in optimizing the construction of a finite map in an unknown indoor environment.
  • 229
  • 20 Nov 2023
Topic Review
Simultaneous Localization and Mapping System in Dynamic Environment
Simultaneous localization and mapping (SLAM) plays a crucial role in the field of intelligent mobile robots. However, the traditional Visual SLAM (VSLAM) framework is based on strong assumptions about static environments, which are not applicable to dynamic real-world environments. The correctness of re-localization and recall of loop closure detection are both lower when the mobile robot loses frames in a dynamic environment.
  • 215
  • 20 Nov 2023
Topic Review
Deformable Object Manipulation in Caregiving Scenarios
The growing importance of deformable object manipulation (DOM) in caregiving settings can be attributed to various factors. One significant driving force is the aging population, which has led to increasing demand for caregiving services. In addition to supporting the elderly, deformable object manipulation technologies can assist individuals with disabilities and special needs, improving their quality of life and promoting independence. Another essential aspect of deformable object manipulation in caregiving scenarios is the potential to enhance precision and safety in medical procedures. These technologies can reduce the physical strain experienced by human caregivers, preventing injuries and enabling them to provide better patient care.
  • 114
  • 17 Nov 2023
Topic Review
Social Exclusion in Human-Robot Interaction
As the technology for social robots is maturing at a rapid rate, one expects that scenarios for human–robot teams, which so far have remained in the realm of fiction (for example, The Murderbot Diaries by Martha Wells), will become a reality soon. Philosophers are discussing ways to redefine the concept of friendship to include robots as well. To prepare for this inevitable future, it is necessary that we study cognitive and affective aspects of how humans respond to robot team members.
  • 66
  • 17 Nov 2023
Topic Review
Recognition of Grasping Patterns for Human–Robot Collaboration
Recent advances in the field of collaborative robotics aim to endow industrial robots with prediction and anticipation abilities. In many shared tasks, the robot’s ability to accurately perceive and recognize the objects being manipulated by the human operator is crucial to make predictions about the operator’s intentions.
  • 124
  • 16 Nov 2023
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