The School of Computing at UT Austin will be hiring aggressively, aiming for 50 new tenure-track faculty over the next 5 years, and many instructional (professional-track) faculty.
Job ads are posted for all 3 departments:
@basisorg and my group at Princeton are recruiting a postdoc to work at the intersection of robotics and code-based world models.
We’re looking for someone excited about abstractions & planning, and who knows their way around a real robot.
Link 👇 Thanks for boosting!
What can we learn from demonstrations of long-horizon tasks? I am presenting our #CoRL2024 paper "Learning Compositional Behaviors from Demonstration and Language" today, showing we can learn a library of behaviors that can be composed to solve new tasks.
https://t.co/Qf4xOxuiVW
Congrats @h_ravichandar, the third faculty member from IC to win the @NSF CAREER Award this year! He proposes the development of dexterous robotic manipulation algorithms that use limited resources without sacrificing performance. @GTrobotics@gtcomputing
https://t.co/VAEZtq663q
🥳📢Absolutely thrilled (& in disbelief!) that I received the NSF CAREER Award!! I feel really fortunate. This wouldn't be possible w/o my wonderful students, incredible mentors, supportive colleagues, patient staff, and the generous review panel and program managers at NSF!
It’s been an absolute pleasure working with Prof. Sonia Chernova and Aswin Prakash at @rail_lab, with support from @AICARING and @amazon. Do visit our poster at CoRL. You can find our code and dataset at https://t.co/llT3JOzfd5
(7/7)
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
(1/7)
We demonstrate the use of our system on a real robot proactively assisting a user with a morning routine, and asking clarifications to adapt in face of uncertainty.
https://t.co/bqOI75VZWp
(6/7)
@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!
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
Delighted to host the workshop on Semantic Scene Understanding for HRI, at #HRI2023, and discuss all your exciting ideas and thoughts on this topic. Join us!
10-day extension for submissions to our #HRI2023 workshop, Semantic Scene Understanding for HRI!
Submit 2-page abstracts by Feb 10 related to using semantics of objects and scenes around a human user to learn from and about them
https://t.co/dwDr8P311V
Our paper on online Human-AI collaboration was accepted @ICRA2023!
How can agents collaborate with humans when their goals are unknown? We propose a method to build agents for online assistance.
w/ @tianminshu, Josh Tenenbaum, Antonio Torralba
Web: https://t.co/U0VkbpebR8
1/
Can a robot use semantics of objects and scenes around a human user to learn from and about them?
If you have results or ideas on how, do submit a 2 page abstract to our #HRI2023 workshop, Semantic Scene Understanding for HRI by 31 Jan
https://t.co/dwDr8P311V
It’s been an absolute pleasure working with Prof. Sonia Chernova, and I’m excited to present our first work together. Do visit our poster at CoRL. You can find our code at https://t.co/RLNPDhaIoT (7/7)
Check out our #CoRL2022 paper on ‘Proactive Robot Assistance via SpatioTemporal Object Modeling’. Tracking objects is key to assisting with daily activities proactively and without being asked! https://t.co/CzurzWJHPq (1/7)
Here’s a demo of the use of our system on a real robot proactively assisting a user with breakfast. Anticipatory actions of keeping objects ready, and restorative actions of putting things away, both emerge from the same underlying system. (6/7)