Cheng Peng

US Patent:

20140049417, Feb 20, 2014

Filed:

Mar 14, 2013

Appl. No.:

13/804373

Inventors:

Heng-Yi Huang - Minneapolis MN, US
Cheng Peng - Minneapolis MN, US

Assignee:

Playtabase, LLC - Minneapolis MN

International Classification:

G08C 19/00

US Classification:

341176

Abstract:

A device, system or method may optionally control a function of a secondary device and include a body-wearable user device including a wireless transmitter configured to communicate directly with a wireless receiver associated with a secondary device, a sensor configured to sense a physical motion of at least one of the user device and a body part of a user of the user device and output a signal based on the physical motion, and a processor, communicatively coupled to the transceiver and the sensor, configured to generate a command to control a function of the secondary device based, at least in part, on the signal based on the physical motion from the sensor. The transceiver is configured to transmit the command to the secondary device.

US Patent:

20230041975, Feb 9, 2023

Filed:

Aug 4, 2021

Appl. No.:

17/394334

Inventors:

- Foster City CA, US
Rasmus Fonseca - Boulder Creek CA, US
Arian Houshmand - Mountain View CA, US
Xianan Huang - Foster City CA, US
Marin Kobilarov - Baltimore MD, US
Lichao Ma - Santa Clara CA, US
Cheng Peng - Sunnyvale CA, US
Matthew Van Heukelom - San Francisco CA, US

International Classification:

B60W 60/00
G05B 13/02

Abstract:

Trajectory generation for controlling motion or other behavior of an autonomous vehicle may include alternately determining a candidate action and predicting a future state based on that candidate action. The technique may include determining a cost associated with the candidate action that may include an estimation of a transition cost from a current or former state to a next state of the vehicle. This cost estimate may be a lower bound cost or an upper bound cost and the tree search may alternately apply the lower bound cost or upper bound cost exclusively or according to a ratio or changing ratio. The prediction of the future state may be based at least in part on a machine-learned model's classification of a dynamic object as being a reactive object or a passive object, which may change how the dynamic object is modeled for the prediction.