Uploaded August 2022 | Updated September 2026, 2 weeks ago
In this second episode of #MeetAGoogleResearcher, Drew Calcagno speaks with Kanishka Rao of Google Research and Daniel Ho of Everyday Robots, researchers who helped combine the PaLM-SayCan robotics algorithm with the advanced capabilities of a helper robot.
In our last episode, we explored how language is bridging the gap between people and machines. In this episode, we dive deeper into the PaLM-SayCan model from the point of view of our robotics researchers. Specifically, we’ll give you a behind-the-scenes look at how PaLM-SayCan operates with an Everyday Robots helper robot.
Watch and see how Everyday Robots and Google Researchers are paving the way for more natural interactions between humans and technology.
Resources:
Read the Palm-SayCan blog post → https://goo.gle/3dGbCaO
Read the paper → https://goo.gle/3pPlp1n
Learn more about PaLM-SayCan → https://goo.gle/3bUmilR
Check out the PaLM-SayCan explainer episode on our partner series, Research Bytes → https://goo.gle/3w5l12d
Follow Kanishka on Twitter → https://goo.gle/3wHCbDc
Follow Daniel on Twitter → https://goo.gle/3R9OVui
Check out Daniel’s website → https://goo.gle/3AtyNNv
Follow Drew on Twitter → https://goo.gle/3BTvKR8
Follow Drew on YouTube → https://goo.gle/3PaLrGo
Chapters:
0:00 - Intro
1:28 - Getting to know the researchers
1:44 - What is the SayCan robotics model?
3:44 - What is Everyday Robots?
4:54 - Where are we in robotics?
5:57 - What are these robots capable of?
6:22- What are the societal implications of these projects?
7:04 - What got you into robotics?
10:49 - How did you overcome fears in this project?
12:36 - What does the future of robotics look like?
13:05 - Will we be seeing the general release of helper robots soon?
Watch more episodes of Meet A Google Researcher → https://goo.gle/MeetAGoogleResearcher
Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch
#MeetAGoogleResearcher
In this second episode of #MeetAGoogleResearcher, Drew Calcagno speaks with Kanishka Rao of Google Research and Daniel Ho of Everyday Robots, researchers who helped combine the PaLM-SayCan robotics algorithm with the advanced capabilities of a helper robot.
In our last episode, we explored how language is bridging the gap between people and machines. In this episode, we dive deeper into the PaLM-SayCan model from the point of view of our robotics researchers. Specifically, we’ll give you a behind-the-scenes look at how PaLM-SayCan operates with an Everyday Robots helper robot.
Watch and see how Everyday Robots and Google Researchers are paving the way for more natural interactions between humans and technology.
Resources:
Read the Palm-SayCan blog post → https://goo.gle/3dGbCaO
Read the paper → https://goo.gle/3pPlp1n
Learn more about PaLM-SayCan → https://goo.gle/3bUmilR
Check out the PaLM-SayCan explainer episode on our partner series, Research Bytes → https://goo.gle/3w5l12d
Follow Kanishka on Twitter → https://goo.gle/3wHCbDc
Follow Daniel on Twitter → https://goo.gle/3R9OVui
Check out Daniel’s website → https://goo.gle/3AtyNNv
Follow Drew on Twitter → https://goo.gle/3BTvKR8
Follow Drew on YouTube → https://goo.gle/3PaLrGo
Chapters:
0:00 - Intro
1:28 - Getting to know the researchers
1:44 - What is the SayCan robotics model?
3:44 - What is Everyday Robots?
4:54 - Where are we in robotics?
5:57 - What are these robots capable of?
6:22- What are the societal implications of these projects?
7:04 - What got you into robotics?
10:49 - How did you overcome fears in this project?
12:36 - What does the future of robotics look like?
13:05 - Will we be seeing the general release of helper robots soon?
Watch more episodes of Meet A Google Researcher → https://goo.gle/MeetAGoogleResearcher
Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch
#MeetAGoogleResearcher
