Daniel C Lam

US Patent:

7053640, May 30, 2006

Filed:

Dec 27, 2002

Appl. No.:

10/331714

Inventors:

David A. Feld - Newark CA, US
Daniel S. Lam - Santa Rosa CA, US
Paul D. Bradley - Mountain View CA, US

Assignee:

Agilent Technologies, Inc. - Palo Alto CA

International Classification:

G01R 31/02
G01R 31/28

US Classification:

324755, 324765

Abstract:

High port-to-port RF isolation for a test socket in a production RF test environment is achieved by establishing a coaxial-type connection between the test socket and the device under test (DUT). This coaxial-type connection results by at least partially surrounding each port of the DUT with a ground seal connected to RF ground connection. In one embodiment, the ground seal is a metallic base plate of the test socket which surrounds the RF connection to the DUT.

US Patent:

20060106644, May 18, 2006

Filed:

May 30, 2001

Appl. No.:

09/871325

Inventors:

Charles Koo - Palo Alto CA, US
Ming Chien - Cupertino CA, US
Daniel Lam - Cupertino CA, US

International Classification:

G06F 19/00

US Classification:

705003000, 715507000

Abstract:

A method and apparatus are provided for creating a referral network for member physicians utilizing the Internet. The referral network provides its members an organized and efficient system for generating and storing patient referrals. To become a member of the referral network, a physician registers with the referral network web site. A member physician generates a patient referral document using referral network software on the referral network web site. The patient referral document is sent to another physician to refer a patient to the physician. If the recipient physician is not a member of the referral network, the patient referral document includes a promotion for the referral network to induce the physician receiving the referral document to become a member of the referral network.

US Patent:

20220343910, Oct 27, 2022

Filed:

Jul 8, 2022

Appl. No.:

17/811425

Inventors:

- Mountain View CA, US
Daniel Alex Lam - Mountain View CA, US

International Classification:

G10L 15/22
G06N 7/00
B25J 13/00
G10L 15/26

Abstract:

Systems and methods are described include a robot and/or an associated computing system that can use various cues about an environment of the robot to apply a bias to increase the accuracy of speech transcription. In some implementations, audio data corresponding to a spoken instruction to a robot is received. Candidate transcriptions of the audio data are obtained. A respective action of the robot corresponding to each of the candidate transcriptions of the audio data is determined. One or more scores indicating characteristics of a potential outcome of performing the respective action corresponding to the candidate transcription of the audio data are determined for each of the candidate transcriptions of the audio data. A particular candidate transcription is selected from among the candidate transcriptions based at least on the one or more scores. The action determined for the particular candidate transcription is performed.

US Patent:

20220193888, Jun 23, 2022

Filed:

Jul 22, 2021

Appl. No.:

17/382561

Inventors:

- Mountain View CA, US
Guy Satat - Sunnyvale CA, US
Daniel Lam - Mountain View CA, US
Benjamin Holson - Sunnyvale CA, US
Jiajun Xu - San Francisco CA, US

International Classification:

B25J 9/04
B25J 9/16

Abstract:

A system includes a robotic device, a sensor disposed on the robotic device, and circuitry configured to perform operations. The operations include determining a map that represents stationary features of an environment and receiving, from the sensor, sensor data representing the environment. The operations also include determining, based on the sensor data, a representation of an actor within the environment, where the representation includes keypoints representing corresponding body locations of the actor. The operations also include determining that a portion of a particular stationary feature is positioned within a threshold distance of a particular keypoint and, based on thereon, updating the map to indicate that the portion is to be cleaned. The operations further include, based on the map as updated, causing the robotic device to clean the portion of the particular stationary feature.