Google Inc.

Intuitive Surgical Operations, Inc.

Tesla Motors, Inc.

Tesla, Inc.

Kristoffer John Donhowe

Yash Modi

Ramya Bhagavatula

Samuel Y Chang

Kevin Chen

Jeffrey Gleeson

Amir Belson

Caitlin Q Donhowe

Thomas J Yorkey

Eric Storne

Kenneth Robert Krieg

Jun Zhang

Mark Rajan Malhotra

Troy Adam Nergaard

Sourav Raj Dey

Martin Sukup

Kenneth Louis Herman

Kevin Charles Peterson

Lawrence Au

Christopher Hugo Van Dyke

Warwick Ka Kui Wong

Shao-Po Ma

Eric Hayashi

Marco Bonvini

Douglas John Thomas

Techniques for performing an emissions demand response event are described. In an example, a power control server system receives an emissions rate forecast for a predefined future time period. Using the emissions rate forecast, an emissions rate event is identified during the predefined future time period. Based on the plurality of emissions rate event, an emissions demand response event is generated during the predefined future time period. The power control server system then causes a power controller to modify an energy consumption by an electronic device in accordance with the generated emissions demand response event.

Managing emissions demand response event generation

A method may comprise storing a first waypoint corresponding to a first position of a tip of a steerable medical device including an articulatable segment. The controller may perform a motion pause check operation to determine that an insertion motion of the articulatable segment into a patient anatomy has been paused, while the tip is at a second position. The controller may determine that the articulatable segment has resumed the insertion motion into the patient anatomy. After determining that the articulatable segment has resumed the insertion motion, a second waypoint corresponding to the second position of the tip of the steerable medical device, may be stored. A boundary region may be defined to form a three-dimensional volume enclosing the positions of the stored waypoints. The articulatable segment may be constrained to remain within the boundary region as the articulatable segment is inserted in the patient anatomy.

Method and system for steerable medical device path definition and following during insertion and retraction

Techniques for performing an emissions demand response (EDR) event are described. In an example, a cloud-based HVAC control system may obtain a first emissions rate forecast and generate an EDR event with a start time and end time based on the first emissions rate forecast. The EDR event may then be transmitted to a thermostat and stored in a memory of the thermostat. At the start time, the thermostat may commence controlling an HVAC system according to the EDR event. After the start time and prior to the end time, the cloud-based HVAC control system may obtain a second emissions rate forecast and generate a modified EDR event with a modified end time. The modified EDR event may be transmitted to the thermostat before the end time and/or the modified end time whereupon the thermostat may control the HVAC system accordingly until the modified end time is reached.

Dynamic adaptation of emissions demand response events

Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system obtains a history of emissions rates. Based on the history of emissions rates, a future time period of predicted high emissions is identified. An emission demand response event participation level of an account mapped to a thermostat is determined for the future time period of predicted high emissions. The emissions demand response event participation level may be one of a plurality of emissions demand response event participation levels. based on the emissions demand response event participation level of the account, an emissions demand response event is generated during the future time period of predicted high emissions. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

Managing user account participation in emissions demand response events

Techniques for instantiating energy saving setpoint adjustments are described. In an example, a heating, ventilation, and air conditioning (HVAC) system is controlled via a thermostat during a first time period according to a first temperature setpoint schedule including one or more temperature setpoints and a first usage amount of the HVAC system is monitored during the first time period. After it is determined that the first usage amount of the HVAC system during the first time period has met a first predefined HVAC runtime threshold criterion, a second temperature setpoint schedule is generated with at least one of the one or more temperature setpoints being adjusted to decrease energy usage by the HVAC system compared to the first temperature setpoint schedule. The HVAC system is then controlled via the thermostat during a second time period according to the second temperature setpoint schedule.

Customized instantiation of provider-defined energy saving setpoint adjustments

Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system receives an emissions rate forecast for a predefined future time period. Using the emissions rate forecast, a plurality of emissions differential values are created for a plurality of points in time during the predefined future time period. The emissions differential values represent a change in predicted emissions over time. Based on the plurality of emissions differential values and a predefined maximum number of emissions demand response events, an emissions demand response event is generated during the predefined future time period. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system obtains an emissions rate forecast for a predefined future time period. Using the emissions rate forecast, a future emissions rate event during the predefined future time period is identified. The future emissions rate event comprises an indication of predicted magnitude and a time period when a predicted emissions rate will be at an increased or decreased level. A confidence value indicating a certainty of the future emissions rate event occurring as predicted is determined. Based on the identified future emissions rate event and the confidence value, an emissions demand response event having a start time and an end time during the future emissions rate event is generated. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

Managing emissions demand response event intensity

Systems and techniques are provided for sensor bypass. Activation may be received at a bypass input of an entry point sensor of a security system while the entry point sensor is in an armed mode. The entry point sensor may detect that the entry point monitored by the entry point sensor is closed. The entry point sensor may enter into a bypass mode. Detection by the entry point sensor of an opening of the entry point while the entry point sensor is in the bypass mode may not result in the generation of an alarm by the security system.

Sensor bypass

Systems and techniques are provided for guided installation feedback for an opening sensor. Detected magnetic field strengths of a magnetic field created by a magnet of an opening sensor as detected by a magnetometer sensor of the opening sensor may be received over a time period. It may be determined that there has been a change in the strength of the magnetic field created by the magnet as detected by the magnetometer sensor based on the received detected magnetic field strengths. Accelerometer data from an accelerometer disposed in the magnetometer sensor may be received. It may be determined from the accelerometer data that the magnetometer sensor was not moving and positive feedback may be provided to an installer of the opening sensor, or it may be determined from the accelerometer data that the magnetometer sensor was moving and negative feedback may be provided to the installer of the opening sensor.

Guided installation feedback for an opening sensor

A path light control device that can include a processor and light source, and any combination of ambient light sensors (ALS), passive infrared (PIR) sensors, accelerometers and compass sensors, where the sensor sampling mode and sampling period may be dynamically determined to permit the ALS to accurately measure an ambient light without excessive operation. The accelerometer and compass sensor may be provided to determine device movement and orientation to avoid sensor operation when movement or orientation of the device indicates that the data of the sensor is not applicable for proper device control.

Automatically adjust sensor sample rates and modes based on sensor feedback and system state

Waypoints for a steerable medical device are stored as the steerable medical device is moved within a patient. The stored waypoints are an ordered sequence of locations. The ordered sequence of locations defines a safe path within the patient for moving an articulatable portion of the steerable medical device. The articulatable portion of the steerable medical device is constrained to follow the safe path as the articulatable portion moves within the patient. For example, the articulatable portion of the steerable medical device is constrained to remain within a boundary region enclosing the safe path as the articulatable portion of the steerable medical device follows the safe path.

An inter-protocol charging adapter for equipment to be charged via a bus includes: first connectors corresponding to a first charging protocol that requires the bus to be energized before the equipment closes onto the bus; second connectors corresponding to a second charging protocol that does not energize the bus before the equipment closes onto the bus; and a boost converter coupled to the bus and to at least one of the second connectors, wherein the boost converter uses energy from the second connector to energize the bus before the equipment closes onto the bus.

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Mountain View, CA, United States of America

Kristoffer John Donhowe