Abstract: A vehicle includes at least one sensor, a classifier, and a controller. The at least one sensor is for capturing data of external environmental conditions. The classifier is for classifying between a first mode relating to one or more driving assistance functions and a second mode relating to at least one street condition from the captured data. The controller is configured to monitor a processing load of the vehicle and allocate processing resources to the first mode and/or second mode.

Abstract: A vehicle includes at least one sensor, a classifier, and a controller. The at least one sensor is for capturing data of external environmental conditions. The classifier is for classifying between a first mode relating to one or more driving assistance functions and a second mode relating to at least one street condition from the captured data. The controller is configured to monitor a processing load of the vehicle and allocate processing resources to the first mode and/or second mode.

Abstract: A method for controlling the lateral movement of a terrestrial vehicle arranged to track a predetermined trajectory, particularly in an assisted driving or autonomous driving scenario, comprising: determining a lateral offset of the vehicle center of mass from the predetermined trajectory; determining a look-ahead error defined as a distance of a virtual look-ahead position of the vehicle center of mass from the predetermined trajectory; and controlling the steering angle of the vehicle so as to also minimize the lateral offset and the first derivative of said look-ahead error over time.

Abstract: Path planning method for computing optimal parking maneuvers for road vehicles including the steps of computing a set of value functions of a cost function of parking maneuvers reaching the target set of states as unique viscosity solution of a Hamilton Jacobi Bellman equation, supplying the set of value functions, together with a starting state of the vehicle, as input to the dynamic programming calculation procedure calculating at least the set of vehicle controls. The set of equations modeling the evolution of the state of said road vehicle is a switched system of equations between a first sub-system if the vehicle is in forward motion and a second sub-system if the vehicle is in reverse motion. The cost function takes into account the arrival time a number of direction changes of the road vehicle between forward motion and reverse motion.

Abstract: A method for controlling the lateral movement of a terrestrial vehicle arranged to track a predetermined trajectory, particularly in an assisted driving or autonomous driving scenario, comprising: determining a lateral offset of the vehicle center of mass from the predetermined trajectory; determining a look-ahead error defined as a distance of a virtual look-ahead position of the vehicle center of mass from the predetermined trajectory; and controlling the steering angle of the vehicle so as to also minimize the lateral offset and the first derivative of said look-ahead error over time.

Abstract: Path planning method for computing optimal parking maneuvers for road vehicles including the steps of computing a set of value functions of a cost function of parking maneuvers reaching the target set of states as unique viscosity solution of a Hamilton Jacobi Bellman equation, supplying the set of value functions, together with a starting state of the vehicle, as input to the dynamic programming calculation procedure calculating at least the set of vehicle controls. The set of equations modeling the evolution of the state of said road vehicle is a switched system of equations between a first sub-system if the vehicle is in forward motion and a second sub-system if the vehicle is in reverse motion. The cost function takes into account the arrival time a number of direction changes of the road vehicle between forward motion and reverse motion.

Abstract: A robot having an overall structure inspired by the Octopus vulgaris is described. The robot has soft arms joined in a radial manner to a central support. The soft arms have the capability of lengthening, shortening and wrapping around in a coil-shape manner. The extremely simple movements and coordination of the soft arms are effective because of the interaction between the single actions. For example during locomotion, while some arms act as a support for stability, the others provide for thrusting allowing the robot to advance. Once near the target, some arms provide for stability whereas the others can bend so as to wrap around and transport external entities.

Abstract: A robot having an overall structure inspired by the Octopus vulgaris is described. The robot has soft arms joined in a radial manner to a central support. The soft arms have the capability of lengthening, shortening and wrapping around in a coil-shape manner. The extremely simple movements and coordination of the soft arms are effective because of the interaction between the single actions. For example during locomotion, while some arms act as a support for stability, the others provide for thrusting allowing the robot to advance. Once near the target, some arms provide for stability whereas the others can bend so as to wrap around and transport external entities.