Top Tweets for #Roboagent
Computer Use Agents are revolutionizing how #AI interacts with our digital environment
A well-structured analysis by @Roboagent69 breaks down their capabilities, highlighting:
✅Foundational Capabilities
✅Optimization & Action Prediction
🔗https://t.co/zhIyhCzJqx
#Roboagent
Sad to have missed out on ICRA this year but excited to see #RoboAgent being well received by the community!
Quite surprised by reception of #RoboAgent. Most knew about it in details, had great feedback, and share new extensions they are working on.
Kudos to @tonyzzhao, @mangahomanga @m0hitsharma @jdvakil @ZoeyC17 @ZhaoMandi student leads on this research stream #ACT #GenAug, #CACATI
Quite surprised by reception of #RoboAgent. Most knew about it in details, had great feedback, and share new extensions they are working on.
Kudos to @tonyzzhao, @mangahomanga @m0hitsharma @jdvakil @ZoeyC17 @ZhaoMandi student leads on this research stream #ACT #GenAug, #CACATI
🤯 How did we train a universal agent with merely 7k trajectories?
Join #RoboAgent team today @ieee_ras_icra
- Big Data in Robotics and Automation Session at 4.30 pm (CC-313)
- Poster Session 10.30 am - 12 pm (Board 03.05)
🤯 How did we train a universal agent with merely 7k trajectories?
Join #RoboAgent team today @ieee_ras_icra
- Big Data in Robotics and Automation Session at 4.30 pm (CC-313)
- Poster Session 10.30 am - 12 pm (Board 03.05)
#𝗥𝗼𝗯𝗼𝗔𝗴𝗲𝗻𝘁 -- A universal multi-task agent on a data-budget
💪 with 12 non-trivial skills
💪 can generalize them across 38 tasks
💪& 100s of novel scenarios!
🌐https://t.co/37YbJP05Zt
w/ @mangahomanga @jdvakil @m0hitsharma, Abhinav Gupta, @shubhtuls
#𝗥𝗼𝗯𝗼𝗔𝗴𝗲𝗻𝘁 -- A universal multi-task agent on a data-budget
💪 with 12 non-trivial skills
💪 can generalize them across 38 tasks
💪& 100s of novel scenarios!
🌐https://t.co/37YbJP05Zt
w/ @mangahomanga @jdvakil @m0hitsharma, Abhinav Gupta, @shubhtuls
✨2023 highlight from our group✨
#RoboAgent -- an efficient multi-task, multi-skill universal robotic agent
A culmination of over 2 years of collaborative research, & engineering @AIatMeta & @CMU_Robotics pushing forward the frontier of robotics
https://t.co/VuOrxhtIpX
As we wrap up what has been a monumental year for AI, what was the most exciting advancement, publication, research breakthrough or AI-powered product you saw in 2023?
Sad to have missed out on the conference but excited to see our work being recognized and received well!
Check out #RoboAgent at https://t.co/yqV58WXJ2C and our large-scale multi-task robotic dataset at https://t.co/4DpODpASJh
Couldn't attend #NeurIPS2023 this year, but was happy to see our #RoboAgent work receive an outstanding presentation award at the Robot Learning Workshop!
Checkout https://t.co/tkZ2oGkU2O for diverse real-world manipulation results and more
(thanks @Vikashplus for presenting)
#RoboAgent team grabs
🌟Best Presentation Award🌟
at @NeurIPSConf at Robot Learning Workshop.
https://t.co/HzVJUfkLCu
w @mangahomanga @m0hitsharma @jdvakil, Abhinav Gupta, @shubhtuls
#RoboAgent is -
⚡️ 6x better than https://t.co/5zojhscPTH
🤯 needs 18x less data!
Appearing today in the Robot-Learning workshop @NeurIPSConf (Hall-B)
w @mangahomanga @m0hitsharma @jdvakil Abhinav Gupta, @shubhtuls
#RoboAgent team grabs
🌟Best Presentation Award🌟
at @NeurIPSConf at Robot Learning Workshop.
https://t.co/HzVJUfkLCu
w @mangahomanga @m0hitsharma @jdvakil, Abhinav Gupta, @shubhtuls
#𝗥𝗼𝗯𝗼𝗔𝗴𝗲𝗻𝘁 -- A universal multi-task agent on a data-budget
💪 with 12 non-trivial skills
💪 can generalize them across 38 tasks
💪& 100s of novel scenarios!
🌐https://t.co/37YbJP05Zt
w/ @mangahomanga @jdvakil @m0hitsharma, Abhinav Gupta, @shubhtuls
Couldn't attend #NeurIPS2023 this year, but was happy to see our #RoboAgent work receive an outstanding presentation award at the Robot Learning Workshop!
Checkout https://t.co/tkZ2oGkU2O for diverse real-world manipulation results and more
(thanks @Vikashplus for presenting)
#RoboAgent is -
⚡️ 6x better than https://t.co/5zojhscPTH
🤯 needs 18x less data!
Appearing today in the Robot-Learning workshop @NeurIPSConf (Hall-B)
w @mangahomanga @m0hitsharma @jdvakil Abhinav Gupta, @shubhtuls
#𝗥𝗼𝗯𝗼𝗔𝗴𝗲𝗻𝘁 -- A universal multi-task agent on a data-budget
💪 with 12 non-trivial skills
💪 can generalize them across 38 tasks
💪& 100s of novel scenarios!
🌐https://t.co/37YbJP05Zt
w/ @mangahomanga @jdvakil @m0hitsharma, Abhinav Gupta, @shubhtuls
#RoboAgent team will be in the OOD Workshop today discussing how to extract the most given a data budget.
- Nov 6th 2:30 pm ET (Hub 1)
- Paper: https://t.co/37YbJP05Zt
- Workshop: https://t.co/CxUliewLSv
#𝗥𝗼𝗯𝗼𝗔𝗴𝗲𝗻𝘁 -- A universal multi-task agent on a data-budget
💪 with 12 non-trivial skills
💪 can generalize them across 38 tasks
💪& 100s of novel scenarios!
🌐https://t.co/37YbJP05Zt
w/ @mangahomanga @jdvakil @m0hitsharma, Abhinav Gupta, @shubhtuls
#ROBOAGENT GETS ITS MT-ACT TOGETHER
Thanks @hackaday for the punniest titles ever🤯
https://t.co/EkWaNCH84v
🧵👇
🤖 Innovation alert! @MetaAI and @CMU_Robotics present groundbreaking robotics research. Meet RoboAgent: mastering diverse skills and applying them across countless scenarios with unprecedented data efficiency. A leap forward in robotics and AI! 🌐🔬 #RoboAgent #AIAdvancement
🤖 New robotics research from Meta AI & @CMU_Robotics — RoboAgent can acquire a wide diversity of non-trivial skills + generalize them to hundreds of unseen scenarios — all w/ an order of magnitude less data than prior works in this space.
More details ➡️ https://t.co/QYSw6DXrht
#RoboAgent is highly generalizable, to demonstrate this, we deployed the agent on the other coast (3000 miles away)!
Finally, we tried something extreme:
by deploying the trained agent in a different location 3000 miles away from where data was collected, and blocked out 3 out of 4 cameras in the scene *during* deployment!
Reproducibility is a big challenge in robotics research. We took an extra step in creating an alternative #RoboPen at a new location 5000 miles away to study the 0-shot reproducibility of (frozen) #RoboAgent
Finally, we tried something extreme:
by deploying the trained agent in a different location 3000 miles away from where data was collected, and blocked out 3 out of 4 cameras in the scene *during* deployment!
A Human (@JayVakil) and #RoboAgent can take turns operating in the same scene, with different variations
We are releasing the entire dataset collected over the course of the project (#RoboSet) We used 7,500 trajectories from this dataset for training #RoboAgent.
https://t.co/GLlADpZDVD
Here is a glimpse of some initial state distribution for a particular scene in the dataset
#RoboAgent uses a combination of active and passive learning to learn 12 non-trivial low-level skills.
A cat squares off with a TailSTAR bot; bots learn lessons from toddlers; quadrupeds inspect industrial plants in Germany and play soccer in Boston; and amphibious autonomous tanks patrol the sand—all this and more in this week's #VideoFriday! https://t.co/CSxr4GEe4A
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