The problem of collision avoidance has existed in robotics since the very beginning. It occurs in industrial manipulators, ground, aquatic and flying robots, and refers to the ability of such autonomous agents to detect and respond to obstacles in their environment to avoid damage. It typically remains in opposition, or detriment, to the main task performed by the robot which is the intended outcome or objective of the robot's actions, such as reaching a certain location, completing a specific task, or moving an object from one place to another. The goal is often defined by the user or the system that controls the robot.
In recent years, robots are used not only in industrial settings, no-go zones, and safety cages. Service robotics and cobots, robots that are designed to collaborate and interact with a human being in close proximity, have been developed. In this new scenario, real-time collision avoidance in dynamic environments has become even more critical. Robots now have the potential to cause harm not only to themselves, other robots, or the task space elements but also to humans and other living beings. Research and development in these areas will continue and robots will increasingly appear both in production processes and in our everyday life.
The ‘Real-time collision avoidance in dynamic environments’ topic is dedicated to all aspects of real-time detecting of obstacles and taking appropriate, safe, and efficient actions to avoid collisions in dynamic environments. Our aim is to receive contributions in a variety of subjects, including but not limited to the following:
- traffic collision avoidance,
- platooning,
- collision avoidance in multi-agent systems,
- pedestrian safety in the presence of a robot,
- avoiding aircraft collisions,
- safety in manipulator applications,
- obstacle detection and modeling,
- avoiding collisions in an unstructured environment,
- collision avoidance based on artificial potential functions and navigation functions,
- obstacle detection data fusion,
- modern sensors in collision avoidance,
- collision avoidance in unmanned aerial vehicles,
- collision avoidance in service robots and cobots.
The Topic aims to exchange knowledge between researchers working in various areas of robotics and related fields, where collision avoidance is a crucial issue.
Keywords:
obstacle detection, collision avoidance, real-time collision avoidance, reactive collision avoidance, robot motion in dynamic environment, robot safety
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The problem of collision avoidance has existed in robotics since the very beginning. It occurs in industrial manipulators, ground, aquatic and flying robots, and refers to the ability of such autonomous agents to detect and respond to obstacles in their environment to avoid damage. It typically remains in opposition, or detriment, to the main task performed by the robot which is the intended outcome or objective of the robot's actions, such as reaching a certain location, completing a specific task, or moving an object from one place to another. The goal is often defined by the user or the system that controls the robot.
In recent years, robots are used not only in industrial settings, no-go zones, and safety cages. Service robotics and cobots, robots that are designed to collaborate and interact with a human being in close proximity, have been developed. In this new scenario, real-time collision avoidance in dynamic environments has become even more critical. Robots now have the potential to cause harm not only to themselves, other robots, or the task space elements but also to humans and other living beings. Research and development in these areas will continue and robots will increasingly appear both in production processes and in our everyday life.
The ‘Real-time collision avoidance in dynamic environments’ topic is dedicated to all aspects of real-time detecting of obstacles and taking appropriate, safe, and efficient actions to avoid collisions in dynamic environments. Our aim is to receive contributions in a variety of subjects, including but not limited to the following:
- traffic collision avoidance,
- platooning,
- collision avoidance in multi-agent systems,
- pedestrian safety in the presence of a robot,
- avoiding aircraft collisions,
- safety in manipulator applications,
- obstacle detection and modeling,
- avoiding collisions in an unstructured environment,
- collision avoidance based on artificial potential functions and navigation functions,
- obstacle detection data fusion,
- modern sensors in collision avoidance,
- collision avoidance in unmanned aerial vehicles,
- collision avoidance in service robots and cobots.
The Topic aims to exchange knowledge between researchers working in various areas of robotics and related fields, where collision avoidance is a crucial issue.
Keywords:
obstacle detection, collision avoidance, real-time collision avoidance, reactive collision avoidance, robot motion in dynamic environment, robot safety
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.