Abstract: Systems and methods for performing high-speed geofencing in accordance with various embodiments of the invention are disclosed. One embodiment includes a robotics platform including a set of one or more motors, at least one sensor, a controller comprising a set of one or more processors, and a memory containing a controller application and a backup controller application, wherein the controller application configures the set of processors to control the robotics platform by performing the steps of receiving user commands, generating commands controlling the set of one or more motors based on the received commands.

Abstract: Disclosed herein is a system and method for controlling a moveable device utilizing risk control barrier functions. In one example, a system for controlling a moveable device includes a processor and memory containing programming executable by the processor. The programming is configured to receive various information about the moveable device and receive a risk tolerance for a user and calculate a risk control barrier function. The programming is configured to receive a command from the user to alter the state of the moveable device; calculate a dynamic coherent risk measurement based on the risk tolerance of the user and in respect to the risk control barrier function in respect to the command from the user to alter the state of the moveable device; determine whether the dynamic coherence risk measurement is beyond a tuning parameter at the current state of the moveable device.

Abstract: Systems and methods for model-free safety control of robotic platforms in accordance with embodiments of the invention are illustrated. One embodiment includes a robot, including a set of one or more actuators, and at least one sensor. The robot further includes a controller including a set of one or more processors and a memory including a controller application, where the controller application configures the set of processors to control the robot by performing the steps of defining a safe set identifying positions where the robot is safe, determining a control barrier function (CBF) based on the safe set, computing a safe velocity based on the CBF and a current position of the robot such that the robot remains in the safe set, and instructing the robot to track to the safe velocity.