Abstract: A tool path generator utilizes a solid body model of a volume to generate a tool path for a manipulator to remove material of the volume with an energy applicator in a semi-autonomous mode. A material logger monitors movement of the energy applicator according to a cutting path taken by a practitioner in the manual mode, identifies material of the volume to which the energy applicator has been applied in the manual mode, and updates the solid body model based on the identified material. The tool path generator modifies the tool path based on the updated solid body model such that, for the semi-autonomous mode, the modified tool path accounts for the identified material of the volume to which the energy applicator has been applied in the manual mode.

Abstract: A system for dynamic policy curation includes a computing system and interfaces with an autonomous agent. A method for dynamic policy curation includes collecting a set of inputs; processing the set of inputs; and determining a set of available policies based on processing the set of inputs. Additionally or alternatively, the method can include any or all of: selecting a policy; implementing a policy; and/or any other suitable processes.

Abstract: A control arm of a robotic surgical system includes a member, a drive motor, a first joint encoder, and a controller. The member is supported about a first joint. The drive motor is operably coupled to the member and configured to rotate the member about the first joint. The first joint encoder is disposed about the first joint and configured to transmit position signals indicative of the position of the member about the first joint. The controller is configured to transmit control signals in response to receiving position signals from the first joint encoder, the control signals causing the drive motor to overcome friction associated with the motion of the member about the first joint.

Abstract: A control system for controlling a motion of a vehicle to a target driving goal uses a decision-maker configured to determine a sequence of intermediate goals leading to the next target goal by optimizing the motion of the vehicle subject to a first model and tightened driving constraints formed by tightening driving constraints by a safety margin, and uses a motion planner configured to determine a motion trajectory of the vehicle tracking the sequence of intermediate goals by optimizing the motion of the vehicle subject to the second model. The driving constraints include mixed logical inequalities of temporal logic formulae specified by traffic rules to define an area where the temporal logic formulae are satisfied, while the tightened driving constraints shrink the area by the safety margin, which is a function of a difference between the second model and the first model approximating the second model.

Abstract: An agricultural vehicle configured for traveling in a driven-wheel-leading mode and a caster-wheel-leading mode. The agricultural vehicle includes a first driven wheel and a second driven wheel, a caster axle, a first caster wheel and a second caster wheel, and a steering system. The steering system includes a first steering actuator connected in between the caster axle and the first caster wheel, a first sensor connected to the caster axle, and a controller operably connected to the first steering actuator and the first sensor. The controller is configured for actuating the first steering actuator to steer the first caster wheel in the driven-wheel-leading mode and the caster-wheel-leading mode.

Abstract: A robotic system and methods are disclosed. A common axis is defined for an instrument and an energy applicator extending from the instrument. A manipulator has a plurality of links and actuators configured to move the links to position the instrument and energy applicator. A force/torque sensor coupled to the manipulator generates an output in response to forces/torques applied to the instrument. Controller(s) defines a centering point that intersects the common axis. Controller(s) model the instrument and the energy applicator as a virtual rigid body and determine forces/torques to apply to the virtual rigid body, which are determined, in part, based on the output of the force/torque sensor. Controller(s) control the manipulator to advance the energy applicator based on the determined forces/torques applied to the virtual rigid body and reorient the instrument such that the common axis pivots about the centering point during advancement of the energy applicator.

Abstract: An apparatus, method, and system for a steerable medical instrument, configured to be used in conjunction with guided tools and devices under robotically controller medical procedures, including endoscopes, cameras, cutting tools and catheters. In one embodiment, the steerable instrument includes an elongate body (100), a control wire (110) arranged in a channel (104) of the elongate body and displaceable along the channel to bend the elongate body; and a controller (320) to selectively control drive forces applied to the control wire (110) under an actively controlled mode and a passively controlled mode. In the actively controlled mode, the controller actively bends at least part of the elongate body. In the passively controlled mode, the controller (320) decreases an amount of strain or an amount of displacement of the control wire, so that the control wire becomes compliant to external forces.

Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising acquiring data regarding historical movement of a lead obstacle and one or more obstacles in front of the lead obstacle; predicting movement of at least the lead obstacle based at least in part on the data; and applying the predicted movement of the lead obstacle to an optimizable function associated with movement of an ego vehicle.

Abstract: Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking, in a convenient, safe manner and thus to save significant amounts of fuel while increasing safety. In an embodiment, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration/deceleration, and speed. Additional safety features in at least some embodiments include providing each driver with one or more visual displays of forward and rearward looking cameras. Long-range communications are provided for coordinating vehicles for linking, and for communicating analytics to fleet managers or others.

Abstract: Systems and methods for repositioning autonomous vehicles are disclosed. The systems and methods facilitate moving vehicles of a fleet of vehicles into more advantageous locations. For example, autonomous vehicles can be moved from positions where a vehicle would be difficult to access by a user and/or be less likely to be used by a user to positions that provide easier access by a user and/or make the vehicle more likely to be used.

Abstract: A method for assisting in turning a vehicle, the method may include detecting or estimating that the vehicle is about to turn to a certain direction or is turning to the certain direction; sensing a relevant portion of an environment of the vehicle to provide sensed information, wherein the relevant portion of the environment is positioned at a side of the vehicle that corresponds with the certain direction; applying an artificial intelligence process on the sensed information to (i) detect objects within the relevant portion of the environment and (ii) estimate expected movement patterns of the objects within a time frame that ends with an expected completion of the turn of the vehicle; determining, given an expected trajectory of the vehicle during the turn and the expected movement patterns of the objects, whether at least one of the objects is expected to cross the trajectory of the vehicle during the turn; and responding to an outcome of the determining.

Abstract: Disclosed is an electronic device for a vehicle, including a processor acquiring image data acquired by a camera mounted in a vehicle, determining a riding intention of an outside person based on the location, posture, and gesture of the outside person detected from the image data, and generating a control signal to stop the vehicle based on the riding intention.

Abstract: Systems and methods are provided for implementing hybrid prediction. Hybrid prediction integrates two deep learning based trajectory prediction approaches: grid-based approaches and graph-based approaches. Hybrid prediction techniques can achieve enhanced performance by combining the grid and graph approaches in a manner that incorporates appropriate inductive biases for different elements of a high-dimensional space. A hybrid prediction framework processor can generate trajectory predictions relating to movement of agents in a surrounding environment based on a prediction model generating using hybrid prediction. Trajectory predictions output from the hybrid prediction framework processor can be used to control an autonomous vehicle. For example, the autonomous vehicle can perform safety-aware and autonomous operations to avoid oncoming objects, based on the trajectory predictions.

Abstract: In one embodiment, when an autonomous driving vehicle (ADV) is parked, the ADV can determine, based on criteria, whether to operate in an open-space mode or an on-lane mode. The criteria can include whether the ADV is within a threshold distance and threshold heading relative to a vehicle lane. If the criteria are not satisfied, then the ADV can enter the open-space mode. While in the open-space mode, the ADV can maneuver it is within the threshold distance and the threshold heading relative to the vehicle lane. In response to the criteria being satisfied, the ADV can enter and operate in the on-lane mode for the ADV to resume along the vehicle lane.

Abstract: A robotic surgical system comprises a surgical tool, a manipulator configured to support the surgical tool, a force/torque sensor to measure forces and torques applied to the surgical tool, and a control system. The control system obtains a three-dimensional milling path for the surgical tool. The control system also receives one or more signals from the force/torque sensor in response to a user manually applying user forces and torques to the surgical tool. The control system determines a commanded pose to which to command the manipulator to advance the surgical tool along the milling path based on a tangential component of the user forces and torques, based on a virtual simulation using virtual constraints, and/or based on other suitable factors to promote guided, manual movement of the surgical tool along the milling path.

Abstract: In one or more embodiments, a method comprises receiving, at a processor, an input signal from an input device in response to a first actuation of the input device by a driver of an autonomous vehicle. The input device is a device disposed with the autonomous vehicle and has a second actuation of the input device associated with a standard operation of the input device. The second actuation has an actuation pattern different from an actuation pattern of the first actuation. In response to the input signal, a determination is made by the processor to determine whether the autonomous vehicle can perform a maneuver safely. In response to determining that the autonomous vehicle can perform the maneuver safely, a signal is sent by the processor to cause the autonomous vehicle to perform the maneuver.

Abstract: A system for dynamic policy curation includes a computing system and interfaces with an autonomous agent. A method for dynamic policy curation includes collecting a set of inputs; processing the set of inputs; and determining a set of available policies based on processing the set of inputs. Additionally or alternatively, the method can include any or all of: selecting a policy; implementing a policy; and/or any other suitable processes.

Abstract: A vehicle control interface includes a control unit configured to: connect between a vehicle platform including a first computer that performs travel control of a vehicle and an automated-driving platform including a second computer that performs automated-driving control of the vehicle and acquire a first control command containing an instruction for the vehicle platform from the second computer; convert the first control command to a second control command for the first computer; and send the second control command to the first computer. The control unit is configured to send, to the second computer, a specifiable range of a physical quantity that is specified by the second computer via the first control command.

Abstract: In one embodiment, a plurality of obstacles is sensed in an environment of an automated driving vehicle (ADV). One or more representations are formed to represent corresponding groupings of the plurality of obstacles. A vehicle route is determined in view of the one or more representations, rather than each and every one of the obstacles individually.

Abstract: A teleoperations system may be used to modify elements in the mapping data used by an autonomous vehicle to cause the autonomous vehicle to control its trajectory based on the modified elements. In addition, in some instances, a teleoperations system may be used to generate virtual paths of travel for an autonomous vehicle based upon teleoperations system virtual path suggestion inputs.