Abstract: A method for controlling a robotic vehicle in a delivery environment includes causing the robotic vehicle to deploy from an autonomous vehicle (AV) at a first AV position in the delivery environment. The method further includes localizing, via a robotic vehicle controller, an initial position within a global reference map using a robot vehicle perception system, receiving, from the AV, a 3-dimensional (3D) augmented map and localizing an updated position in the delivery environment based on the 3D augmented map and the global reference map. The robot vehicle perception system senses obstacle characteristics, and generates a unified 3D augmented map with robot-sensed obstacle characteristics. The method further includes generating a dynamic path plan to a package delivery destination using the unified 3D augmented map, and actuating the robot vehicle to the package delivery destination according to the dynamic path plan.

Abstract: Systems and methods for fleet inspection and maintenance using a robot are provided. The robot may detect a maintenance issue of a vehicle of a fleet of vehicles via one or more sensors, generate a navigation route to a position proximal to the maintenance issue of the vehicle, traverse along the navigation route to the position, and execute a maintenance to rectify the maintenance issue of the vehicle. The robot may include a mobile base removably coupled to a modular platform for performing a maintenance task.

Abstract: Systems and methods for administering a hazard condition warning during a package delivery operation are provided. The system may include one or more sensors, e.g., radar sensors, ultrasonic sensors, or cameras, configured to detect a hazard condition in a vicinity of a delivery vehicle and to generate data indicative of the hazard condition. The system further includes an operator sensor configured to detect a location of an operator of the delivery vehicle relative to the delivery vehicle, and one or more indicators, e.g., lights, a mobile application installed on a mobile phone, or an HMI of the vehicle, configured to generate an alert corresponding to the hazard condition.

Abstract: Autonomous vehicle fleet management systems are provided herein. An example method includes receiving, via a control module of a first electric vehicle, trip characteristics data associated with a second electric vehicle. The trip characteristics data includes information such as vehicle location, a trip destination, and a route plan associated with the second electric vehicle. The control module or a connected control server selects a charging station for recharging the first electric vehicle based at least in part on the trip characteristics data and at least one route optimization option associated with the first electric vehicle. The example method further includes determining a travel route to the charging station and navigating the first electric vehicle to the charging station along the travel route using an autonomous vehicle navigation system associated with the control module.

Abstract: A computer in a vehicle that includes a processor and memory storing instructions executable by the processor. The instruction may include: receive an indication that the vehicle door is ajar; receive sensor data from a rotational-rate sensor in a vehicle; and based on the indication and sensor data, determine a traversal event.

Abstract: A bake-steering apparatus for controlling autonomous navigation of an electric scooter includes at least one electric motor coupled to at least one wheel of the scooter to provide driving power to enable forward momentum of the scooter, at least a pair of brake pads on the scooter such that each brake pad is adapted to make mechanical braking contact with respective ones of the wheels to provide navigational steering of the scooter, and a computational module on the scooter and electrically connected to each brake pad. The computational module is adapted to receive electrical signals and compute them into corresponding braking commands so as to determine the mechanical braking contact to generate corresponding slowing and turning of the forward momentum of the scooter so as to provide navigational steering of the scooter.

Abstract: The present disclosure is directed toward a robotic system that includes a robotic arm, a robotic end-effector, a lock, and a control system. The robotic end-effector is detachably coupled to the robotic arm and includes a locomotion device to move the robotic end-effector independent of the robotic arm. The lock is disposed with the robotic arm and robotic end-effector, and is operable to detach and attach the robotic arm and the robotic end-effector. The control system is configured to control the robotic arm and the robotic end-effector, and to operate the lock to detach and attach the robotic arm and the robotic end-effector.

Abstract: The disclosure generally pertains to travel planning for a multifunction robot that can travel on a ground surface and can fly over obstacles. In an example embodiment, a controller of the multifunction robot receives an Occupancy Grid map that provides information about a travel area to be traversed by the multifunctional robot. The controller may determine a first cost associated with a first travel route that involves the multifunctional robot driving around a 3D object when moving along the ground from an origination spot to a destination spot in the travel area. The controller may further determine a second cost associated with a second travel route that involves the multifunctional robot flying over the 3D object when moving from the origination spot to the destination spot. The controller may select either the first travel route or the second travel route based on comparing the first cost to the second cost.

Abstract: A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to determine a perception zone of interest, via a trained perception model, based on at least one of a vehicle parameter or planning data, wherein the vehicle parameter comprises at least one of a vehicle direction or a vehicle speed and the planning data comprises a route and trajectory to be traversed by the vehicle; determine a vehicle route and trajectory based on a subset of sensor data, wherein the subset of sensor data corresponds to the perception zone of interest; and operate the vehicle to traverse the vehicle route and trajectory.

Abstract: A nighttime delivery system is configured to provide delivery of packages during night hours, in low or no-light conditions using a multi-mode autonomous and remotely controllable delivery robot. The system involves the use of a baseline lighting system onboard the robot chassis, with variable light intensity from single flash and floodlighting, to thermal imaging using infrared cameras. The lighting system changes according to various environmental factors, and may utilize multi-mode lighting techniques to capture single-shot images with a flash light source to aid in the robot's perception when the vehicle is unable to navigate using infrared (IR) images.

Abstract: A robotic system includes a robotic arm, a robotic end-effector detachably coupled to the robotic arm, and a control system. The robotic end-effector includes a locomotion device to move the robotic end-effector independent of the robotic arm, and the control system configured to control the robotic arm and the robotic end-effector to detach and attach the robotic arm and the robotic end-effector.

Abstract: A battery expansion cradle is attachable to an electric scooter (eScooter) handlebar. The battery expansion cradle includes a battery connection terminal disposed on a face of the battery expansion cradle, where the battery connection terminal electrically connects with a power bus of the electric scooter. A battery module is removably attachable to the face of the battery expansion cradle and the back terminal of another battery. The battery module includes a connector electrically coupling the first rechargeable battery to the eScooter power bus, and includes a mobile device holder disposed on a face of the first battery module with holding means for securing a mobile device to the face of the battery module, which may be offset from the center of the external battery to allow for a clear forward view of the scooter using the smartphone's front camera, and the user's face using the rear camera.

Abstract: This disclosure is generally directed to systems and methods for using an autonomous vehicle to provide navigation assistance to a delivery robot. In one exemplary implementation, the delivery robot is transported by the autonomous vehicle to a delivery destination such as a residence or a workplace. The delivery robot disembarks at the delivery destination for delivering a package to a recipient at the residence or workplace. A computer system in the autonomous vehicle communicates with a navigation assistance system of the autonomous vehicle to obtain information pertaining to a terrain between the autonomous vehicle and a package drop-off spot at the residence or workplace, and uses the information to generate a route map of the terrain. The autonomous vehicle may transmit the route map and/or navigation instructions derived from the route map, to the delivery robot to assist the delivery robot navigate around obstacles and reach the package drop-off spot.

Abstract: A method according to an exemplary aspect of the present disclosure includes, among other things, controlling a vehicle system to refine a travel range estimation of an electrified vehicle if a desired destination cannot be reached under current driving conditions. The controlling step includes warning a driver about a travel range based on the driver's driving habits, coaching the driver to modify the driving habits, and adjusting operation of at least one vehicle subsystem.

Abstract: Autonomous vehicle fleet management systems are provided herein. An example method includes receiving, via a control module of a first electric vehicle, trip characteristics data associated with a second electric vehicle. The trip characteristics data includes information such as vehicle location, a trip destination, and a route plan associated with the second electric vehicle. The control module or a connected control server selects a charging station for recharging the first electric vehicle based at least in part on the trip characteristics data and at least one route optimization option associated with the first electric vehicle. The example method further includes determining a travel route to the charging station and navigating the first electric vehicle to the charging station along the travel route using an autonomous vehicle navigation system associated with the control module.

Abstract: Systems, methods, and computer-readable media are disclosed for enhanced human-robot interactions. A device such as a robot may send one or more pulses. The device may identify one or more reflections associated with the one or more pulses. The device may determine, based at least in part on the one or more reflections, a cluster. The device may associate the cluster with an object identified in an image. The device may determine, based at least in part on an image analysis of the image, a gesture associated with the object. The device may determine, based at least in part on the gesture, a command associated with an action. The device may to perform the action.

Abstract: A bake-steering apparatus for controlling autonomous navigation of an electric scooter includes at least one electric motor coupled to at least one wheel of the scooter to provide driving power to enable forward momentum of the scooter, at least a pair of brake pads on the scooter such that each brake pad is adapted to make mechanical braking contact with respective ones of the wheels to provide navigational steering of the scooter, and a computational module on the scooter and electrically connected to each brake pad. The computational module is adapted to receive electrical signals and compute them into corresponding braking commands so as to determine the mechanical braking contact to generate corresponding slowing and turning of the forward momentum of the scooter so as to provide navigational steering of the scooter.

Abstract: Systems and methods are provided herein for managing a transportation device fleet using teleoperation. Teleoperation may be beneficial for performing fleet management tasks such as rebalancing, relocation of devices to charging stations, and/or assisting devices operating autonomously that encounter obstacles and are unable to proceed autonomously.

Abstract: A vehicle has an accelerator pedal in communication with a prime mover, a transmission, and a controller. The controller is configured to, in response to receiving a first input indicative of a vehicle state and a second input indicative of a curve along a vehicle path within a predetermined time interval, downshift the transmission and modify a driver torque request map associated with the accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque. A method of controlling a vehicle includes downshifting a transmission and modifying a driver torque request map associated with an accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque when a vehicle state and a curve from an electronic horizon system predict a vehicle lateral acceleration in the curve being above a first threshold value.

Abstract: A vehicle has an accelerator pedal in communication with a prime mover, a transmission, and a controller. The controller is configured to, in response to receiving a first input indicative of a vehicle state and a second input indicative of a curve along a vehicle path within a predetermined time interval, downshift the transmission and modify a driver torque request map associated with the accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque. A method of controlling a vehicle includes downshifting a transmission and modifying a driver torque request map associated with an accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque when a vehicle state and a curve from an electronic horizon system predict a vehicle lateral acceleration in the curve being above a first threshold value.