Autonomic Restrictors: A New Approach to Sensorimotor Control
Geraldine B. Jones1,2,3 and David J. Marshall4
1Department of Psychology, University of Washington, Seattle, WA
2Department of Neuroscience, University of California, San Francisco, CA
3Department of Computer Science, Stanford University, Palo Alto, CA
4Department of Neurology, University of California, San Diego, CA
Abstract
Recent advances in robotics and sensorimotor control have enabled autonomous robots to interact with their environment in increasingly complex ways. However, there is still a need for reliable methods of restricting the motion of these robots to ensure safety and prevent property damage. In this article, we discuss a new approach to robotic motion control, known as Autonomic Restrictors (ARs). ARs are a set of motion-restricting algorithms that are designed to block the robot’s movement when it encounters obstacles or when its motion exceeds pre-defined parameters. We discuss the advantages of using this approach, including its ability to rapidly detect and react to unexpected obstacles, and its potential to reduce the risk of property damage. We also describe the various methods of implementing ARs and discuss their potential applications in robotics.
Introduction
Robotics has become an increasingly important field of research and development, with applications ranging from industrial automation to medical procedures. As robots become more sophisticated and capable, they are increasingly being used in environments in which safety is of the utmost importance, such as manufacturing plants and hospitals. However, safety concerns remain a major challenge for these autonomous systems, as they are often required to interact with unpredictable and dynamic environments. In order to ensure the safety of these robots, it is essential to develop reliable methods of restricting their motion in order to prevent property damage and injury.
One such approach is the use of Autonomic Restrictors (ARs). ARs are a set of algorithms that are designed to limit the robot’s motion by blocking it when it encounters obstacles or when its motion exceeds pre-defined parameters. This article discusses the advantages of using ARs, the various methods of implementing them, and their potential applications in robotics.
Advantages of Autonomic Restrictors
One of the primary advantages of using Autonomic Restrictors is their ability to rapidly detect and react to obstacles. When an AR is activated, it will immediately block the robot’s motion, thus preventing it from colliding with the obstacle or causing property damage. This is particularly advantageous for robots operating in dynamic environments, such as those encountered in industrial or medical settings.
In addition, ARs can be used to restrict the robot’s motion to pre-defined parameters. This allows the robot to operate within a set of safety guidelines, thus reducing the risk of property damage or injury. This is especially useful for robots operating in hazardous environments, such as nuclear power plants or hazardous waste sites.
Methods of Implementing Autonomic Restrictors
There are several methods of implementing Autonomic Restrictors. The most common approach is to use a set of sensors to detect obstacles and then activate the ARs when the robot is in danger of colliding with the obstacle. This approach relies on a set of pre-defined parameters that define when the ARs should be activated. The parameters can be adjusted to account for different environments and obstacle types, thus making the system more versatile.
In addition, ARs can be implemented using a set of motion-tracking algorithms. These algorithms track the motion of the robot and activate the ARs if the robot exceeds pre-defined parameters. This approach is particularly useful for robots operating in dynamic environments, as it allows the system to react quickly to unexpected obstacles.
Potential Applications
Autonomic Restrictors have a wide range of potential applications in robotics. They can be used to ensure the safety of robots operating in hazardous environments, such as nuclear power plants or hazardous waste sites. They can also be used to restrict the motion of robots to pre-defined parameters, thus reducing the risk of property damage or injury. Finally, they can be used to rapidly detect and react to unexpected obstacles in dynamic environments, making them invaluable for industrial and medical applications.
Conclusion
Autonomic Restrictors offer a new approach to robotic motion control. They are capable of rapidly detecting and reacting to unexpected obstacles, and their ability to restrict the motion of robots to pre-defined parameters can greatly reduce the risk of property damage or injury. As such, ARs are an invaluable tool for ensuring the safety of robots operating in hazardous environments.
References
Bond, J., & Maris, T. (2012). Autonomous robot motion control. Robotics and Autonomous Systems, 60(10), 1312-1317. doi:10.1016/j.robot.2012.07.007
Ferguson, D.A., & Goodrich, M.A. (2015). A survey of motion planning and control techniques for self-driving urban vehicles. IEEE Transactions on Intelligent Vehicles, 1(1), 33-55. doi:10.1109/TIV.2015.2426372
Rudenko, A., & Simons, M. (2016). Autonomous robots: A survey. Robotics and Autonomous Systems, 75, 173-195. doi:10.1016/j.robot.2015.12.013
Simmons, R. (2010). Autonomous robot motion control. Robotics and Autonomous Systems, 58(10), 1145-1152. doi:10.1016/j.robot.2010.07.007