Patent classifications
G05D1/0891
Mobile body, location estimation device, and computer program
A device includes an external sensor to scan an environment so as to periodically output scan data, a storage to store an environmental map, and a location estimation device to match the sensor data against the environmental map read from the storage so as to estimate a location and an attitude of the vehicle. The location estimation device determines predicted values of a current location and a current estimation of the vehicle in accordance with a history of estimated locations and estimated attitudes of the vehicle, and performs the matching by using the predicted values.
FAST CONTINUOUS REGULATION OF NONHOLONOMIC MOBILE ROBOTS
Embodiments of the disclosure provide methods and systems for continuous regulation of a nonholonomic mobile robot. An exemplary method may include identifying a current pose of the nonholonomic mobile robot in a world frame, where the current pose is represented by a first set of values defining a first set of states of the nonholonomic mobile robot in the world frame; receiving a final goal pose of the nonholonomic mobile robot, where the final goal pose is represented by a second set of values defining a second set of states of nonholonomic mobile robot in the world frame; determining a moving path for moving the nonholonomic mobile robot from the current pose to the final goal pose; and controlling the nonholonomic mobile robot to move from the current pose to the final goal pose according to the moving path, where the nonholonomic mobile robot moves to the final goal pose by converging the nonholonomic mobile robot from the first set of states to the second set of states simultaneously.
Systems, vehicles, and methods for trailer sway control
A system for a vehicle and a trailer connected to the vehicle is provided. The system includes a trailer brake output circuit configured to output a trailer brake output signal, and an electronic control unit. The electronic control unit is configured to determine whether a value of a yaw rate of the trailer connected to the vehicle becomes greater than a threshold value, change a yaw rate oscillation counter in response to determining that the value of the yaw rate of the trailer becomes greater than the threshold value, instruct the trailer brake output circuit to output the trailer brake output signal to the trailer in response to the yaw rate oscillation becoming a first value, and activate trailer sway control in response to the yaw rate oscillation becoming a second value. The second value is greater than the first value.
YAW DAMPER FOR TWO-WHEELED SELF-BALANCING VEHICLE
A control path is added to a two-wheeled self-balancing vehicle that has steering augmentation and CMG or reaction wheel actuators for roll balancing. These actuators are used to damp yaw disturbances while preventing roll disturbances, based on a yaw rate disturbance signal received on the control path.
AUTONOMOUS LATERAL CONTROL OF VEHICLE USING DIRECT YAW MOMENT CONTROL
A method includes identifying a path to be followed by an ego vehicle. The method also includes determining a desired yaw rate and a desired yaw acceleration for the ego vehicle based on the identified path. The method further includes determining a desired yaw moment for the ego vehicle based on the desired yaw rate and the desired yaw acceleration. In addition, the method includes distributing the desired yaw moment to multiple wheels of the ego vehicle such that the distributed desired yaw moment creates lateral movement of the ego vehicle during travel along the identified path. In some cases, the desired yaw rate and the desired yaw acceleration for the ego vehicle may be determined based on nonlinear kinematics of the ego vehicle, and the desired yaw moment for the ego vehicle may be determined based on a single-track dynamic model of the ego vehicle.
Safety procedure analysis for obstacle avoidance in autonomous vehicles
In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, COMPUTER PROGRAM, AND MOBILE ROBOT
Provided is an information processing apparatus that processes information regarding a path of a mobile robot.
The information processing apparatus includes a management section that manages path information for each path, the path information including postural stability information acquired when the mobile robot traverses the path. The postural stability information includes at least one of a variance of a position of center of gravity or a postural variance acquired during travel of the mobile robot in the path. Also, the postural stability information includes a CoP control quantity that includes a deviation between a target CoP and an actual measured value of the mobile robot whose walking is controlled on the basis of a ZMP. Also, the postural stability information further includes a landing position correction quantity that includes an error between a planned floor touching point and an actual measured value of the mobile robot that walks with multiple legs.
CONTROL LOOP FOR NAVIGATING A VEHICLE
A system for navigating a vehicle may include a processor programmed to receive an output provided by a vehicle sensor, and determine a navigational maneuver for the vehicle along a road segment based on the output provided by the vehicle sensor. The processor may also be programmed to determine a yaw rate command and a speed command for implementing the navigational maneuver. The processor may also be programmed to determine a first vehicle steering angle based on the yaw rate and speed commands using a first control subsystem, and determine a second vehicle steering angle based on the yaw rate and speed commands using a second control subsystem. The processor may further be programmed to determine an overall steering command for the vehicle based on a combination of the first and second steering angles, and cause an actuator associated with the vehicle to implement the overall steering command.
SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES
In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.
Perception and fitting for a stair tracker
A method for perception and fitting for a stair tracker includes receiving sensor data for a robot adjacent to a staircase. For each stair of the staircase, the method includes detecting, at a first time step, an edge of a respective stair of the staircase based on the sensor data. The method also includes determining whether the detected edge is a most likely step edge candidate by comparing the detected edge from the first time step to an alternative detected edge at a second time step, the second time step occurring after the first time step. When the detected edge is the most likely step edge candidate, the method includes defining, by the data processing hardware, a height of the respective stair based on sensor data height about the detected edge. The method also includes generating a staircase model including stairs with respective edges at the respective defined heights.