Bhavana Chandrashekhar
Employers on the program
- 2022–2023Amazon Web Services2 talks
- 2021Robotics AI, Amazon1 talk
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Observability: 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 lessJoin 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, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Building 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 lessIn 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, 2021 | AWS re:Invent 2021 | AWS re:Invent | chalk talk | Closing 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 lessThe 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
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Sengstacken | 3 | — | 2023 |
| Abhay Saxena | 3 | — | 2023 |
| Adam Hesch | 3 | — | 2023 |
| Adam Hill | 3 | — | 2023 |
| Adam Palmer | 3 | — | 2023 |
| Adam Selipsky | 3 | — | 2023 |
| Adnan Bilwani | 3 | — | 2023 |
| Adolfo Hernandez | 3 | — | 2023 |
| Akash Bhatia | 3 | — | 2023 |
| Ala Abunijem | 3 | — | 2023 |
| Alan Halachmi | 3 | — | 2023 |
| Alex DeBrie | 3 | — | 2023 |
| Alex Torres | 3 | — | 2023 |
| Alexandra Huides | 3 | — | 2023 |
| Ali Saidi | 3 | — | 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.