Patent classifications
Y10S901/01
Handling gait disturbances with asynchronous timing
An example method may include i) detecting a disturbance to a gait of a robot, where the gait includes a swing state and a step down state, the swing state including a target swing trajectory for a foot of the robot, and where the target swing trajectory includes a beginning and an end; and ii) based on the detected disturbance, causing the foot of the robot to enter the step down state before the foot reaches the end of the target swing trajectory.
Mechanically-timed footsteps for a robotic device
An example implementation for determining mechanically-timed footsteps may involve a robot having a first foot in contact with a ground surface and a second foot not in contact with the ground surface. The robot may determine a position of its center of mass and center of mass velocity, and based on these, determine a capture point for the robot. The robot may also determine a threshold position for the capture point, where the threshold position is based on a target trajectory for the capture point after the second foot contacts the ground surface. The robot may determine that the capture point has reached this threshold position and based on this determination, and cause the second foot to contact the ground surface.
Slip detection for robotic locomotion
An example method may include i) determining a first distance between a pair of feet of a robot at a first time, where the pair of feet is in contact with a ground surface; ii) determining a second distance between the pair of feet of the robot at a second time, where the pair of feet remains in contact with the ground surface from the first time to the second time; iii) comparing a difference between the determined first and second distances to a threshold difference; iv) determining that the difference between determined first and second distances exceeds the threshold difference; and v) based on the determination that the difference between the determined first and second distances exceeds the threshold difference, causing the robot to react.
System and Method for Traversing Vertical Obstacles
A mobile robot adapted to traverse vertical obstacles. The robot comprises a frame and at least one wheel positioned in a front section of the robot, at least one middle wheel positioned in a middle section of the robot, at least one back wheel positioned in a back section of the robot, and at least one further wheel in the front, middle or back of the robot. The robot also comprises at least one motor-driven device for exerting a downward and/or upward force on the middle wheel and at least two motors for driving the wheels and the motor-driven device. Also disclosed is a method of climbing using a mobile robot as disclosed.
Restricting movement of a mobile robot
A robot includes a body that is movable relative to a surface one or more measurement devices within the body to output information based on an orientation of the body at an initial location on the surface, and a controller within the body to determine an orientation of the body based on the information and to restrict movement of the body to an area by preventing movement of the body beyond a barrier that is based on the orientation of the body and the initial location.
Facilitating robotic control using a virtual reality interface
A method of deriving autonomous control information involves receiving one or more sets of associated environment sensor information and device control instructions. Each set of associated environment sensor information and device control instructions includes environment sensor information representing an environment associated with an operator controllable device and associated device control instructions configured to cause the operator controllable device to simulate at least one action taken by at least one operator experiencing a representation of the environment generated from the environment sensor information. The method also involves deriving autonomous control information from the one or more sets of associated environment sensor information and device control instructions, the autonomous control information configured to facilitate generating autonomous device control signals from autonomous environment sensor information representing an environment associated with an autonomous device, the autonomous device control signals configured to cause the autonomous device to take at least one autonomous action.
Method for monitoring growth of plants and generating a plant grow schedule
One variation of a method for monitoring growth of plants within a facility includes: aggregating global ambient data recorded by a suite of fixed sensors, arranged proximal a grow area within the facility, at a first frequency during a grow period; extracting interim outcomes of a set of plants, occupying a module in the grow area, from module-level images recorded by a mover at a second frequency less than the first frequency while interfacing with the module during the period of time; dispatching the mover to autonomously deliver the module to a transfer station; extracting interim outcomes of the set of plants from plant-level images recorded by the transfer station while sequentially transferring plants out of the module at the conclusion of the grow period; and deriving relationships between ambient conditions, interim outcomes, and final outcomes from a corpus of plant records associated with plants grown in the facility.
Semantic mapping of environments for autonomous devices
Methods, systems, and apparatus for receiving a reference to an object located in an environment of a robot, accessing mapping data that indicates, for each of a plurality of object instances, respective probabilities of the object instance being located at one or more locations in the environment, wherein the respective probabilities are based at least on an amount of time that has passed since a prior observation of the object instance was made, identifying one or more particular object instances that correspond to the referenced object, determining, based at least on the mapping data, the respective probabilities of the one or more particular object instances being located at the one or more locations in the environment, selecting, based at least on the respective probabilities, a particular location in the environment where the referenced object is most likely located, and directing the robot to navigate to the particular location.
Mobile robot providing environmental mapping for household environmental control
A mobile robot includes a processor connected to a memory and a wireless network circuit, for executing routines stored in the memory and commands generated by the routines and received via the wireless network circuit. The processor drives the mobile robot to a multiplicity of accessible two dimensional locations within a household, and commands an end effector, including at least one motorized actuator, to perform mechanical work in the household. A plurality of routines include a first routine which monitors a wireless local network and detects a presence of a network entity on the wireless local network, a second routine which receives a signal from a sensor detecting an action state of one of the network entities, the action state changeable between waiting and active, and a third routine which commands the end effector to change state of performing mechanical work based on the presence and on the action state.
METHOD AND DEVICE FOR AUTOMATIC OBSTACLE AVOIDANCE OF ROBOT
A method for automatic obstacle avoidance of a robot includes: obtaining distance values between the robot and an obstacle detected by sensors arranged on a left side, middle part and right side of the robot respectively; when a minimum distance value detected by the sensors on the middle part is less than a threshold value, if a minimum distance value detected by the sensors on either the left side or the right side exceeds an obstacle critical distance, turning the robot 90 degrees towards the side where the minimum distance value exceeds the obstacle critical distance; when the minimum distance value detected by the sensors on the middle part exceeds the distance threshold value, if only the minimum distance value detected by the sensors on the left side exceeds the obstacle critical distance, turning the robot towards the left side by a first angle value.