Data Conference Databasea Query.Farm index
Speakers

Bhavana Chandrashekhar

Employers on the program

  1. 2022–2023Amazon Web Services2 talks
  2. 2021Robotics AI, Amazon1 talk
Events3
Conferences1
Talks3
Years active2021–2023

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Nov 27, 2023AWS re:Invent 2023AWS re:Inventchalk talkObservability: How Amazon Robotics gets the right signals from robots
as Amazon
Join this chalk talk with Amazon Robotics experts to learn how they use AWS to improve observability of the robot at scale. As they've deployed thousands of…Show less

Join this chalk talk with Amazon Robotics experts to learn how they use AWS to improve observability of the robot at scale. As they've deployed thousands of robotic drive units, knowing exactly what is happening on each machine helps them prioritize their feature roadmap.

Nov 28, 2022AWS re:Invent 2022AWS re:Inventchalk talkBuilding perception for manipulation robots at Amazon
as Amazon
In this chalk talk, hear from the team that builds the robots that manipulate packages and items in Amazon warehouses. Learn about the challenges, approaches,…Show less

In this chalk talk, hear from the team that builds the robots that manipulate packages and items in Amazon warehouses. Learn about the challenges, approaches, and lessons learned in building perception systems that enable Amazon to pick over two million packages a day and span the manipulation of millions of items.

Slides
Nov 29, 2021AWS re:Invent 2021AWS re:Inventchalk talkClosing in on sim2real: How synthetic data can improve robot performance [REPEAT]
as Robotics AI, Amazon
The performance of your robot can be improved by training a machine learning model with synthetic data in place of the real data. In this session, learn how to…Show less

The performance of your robot can be improved by training a machine learning model with synthetic data in place of the real data. In this session, learn how to generate and use realistic 3D synthetic images to train a computer vision model for a robot.

Slides

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Aaron Sengstacken3—2023
Abhay Saxena3—2023
Adam Hesch3—2023
Adam Hill3—2023
Adam Palmer3—2023
Adam Selipsky3—2023
Adnan Bilwani3—2023
Adolfo Hernandez3—2023
Akash Bhatia3—2023
Ala Abunijem3—2023
Alan Halachmi3—2023
Alex DeBrie3—2023
Alex Torres3—2023
Alexandra Huides3—2023
Ali Saidi3—2023

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.