RAIL Robotics

The RAIL lab focuses on developing robotic systems that operate effectively in complex human environments, adapt to user preferences and learn from user input.

[RAIL Robotics @rail_lab]

If you are at #NeurIPS2023 , don't miss @devleenadas_ Devleena's work on leveraging concept-based explanations to benefit both AI agent learning and improve user understanding!

[Devleena Das @devleenadas_]

Visit us at the poster session Tues, 10:45 am at #NeurIPS2023!
Explainability research has mainly focused on extracting explanations that improve user understanding. We take it a step further and ask: can explanations also benefit the AI agent and improve agent learning rate?

[RAIL Robotics @rail_lab]

@MaithiliPatel31 will be presenting her amazing work on learning personalized user 🧓 routines to perform proactive robot 🤖 assistance today in the @corl_conf spotlight session at 9:30 AM and the poster session at 5:15 PM. Don't miss it!!

[Maithili Patel @MaithiliPatel31]

Check out our #CoRL2023 paper on enabling robots to assist with routine tasks proactively – that is ahead of time and without even being asked!
https://t.co/glhXcVzBqd
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[Georgia Tech Research @GTResearch_]

What if a robot could not only put your groceries away but in just the way you like? @ICatGT student @kartikvrama created a new assistive robot can do that without prior instructions required by existing frameworks. https://t.co/Wl179z4YuY

[RAIL Robotics @rail_lab]

@kartikvrama presented awesome work on a way to make robots arrange objects in your fridge or pantry purely from existing context, without telling it your preferences🤖
If you missed him at #IROS2023, you can learn about it here!

[Georgia Tech Research @GTResearch_]

Should we be worried about AI? @ICatGT's Sonia Chernova answers in our first mini-sode of the new series #TechTakes. Watch the full episode at https://t.co/Gg4pU2gH6t