Rishi

[Patrick Yin @patrickhyin]

We’re releasing OmniReset, a framework for training robot policies using large-scale RL and diverse resets for contact-rich, dexterous manipulation.

OmniReset pushes the frontier of robustness and dexterity, without any reward engineering or demonstrations.

Try the policies yourself in our interactive simulator! https://t.co/3hW3nYx2vD

(1/N 🧵)

[Simeon ADEBOLA @funmilore]

Sign up to attend our Cloud Robotics Tutorial at #ICRA2024.

[Henry @henrl]

I’m so excited to learn during the exam tomorrow

[Vainavi Viswanath @vainavi_v]

Something current Large Vision Language Models can’t do: trace cables, the first step for a broad range of robot tasks in homes, factories, construction sites, transportation, and healthcare. Introducing our #CoRL2023 (oral) paper, HANDLOOM (https://t.co/RFKxM91WmE). (1/7)

[Kaushik Shivakumar @19kaushiks]

Check out our recent paper on automatically tracing complicated cable configurations from overhead images!

Bonus: Click into the thread from @vainavi_v to find out how GPT-4V does at this 😛

[IEEE Spectrum @IEEESpectrum]

Roses are red, violets are blue, UC Berkeley's AlphaGarden robot tends plants better than you! #GardenVarietyVerse #RoboticGardener To be presented this week at #ICRA2023. @ieee_ras_icra https://t.co/aGqx5D9Ldz

[Ken Goldberg @Ken_Goldberg]

TY ⁦@BotJunkie⁩ for great story about this project! Simeon Adebola will present ⁦the details tomorrow @3:50 pm @ieee_ras_icra⁩ in London. ⁦@AUTOLab_Cal⁩ ⁦@Berkeley_AI https://t.co/vmUr2VQv8C

[Rishi @rishiparikh03]

@Ravinesse_ End of an era fr

[Ken Goldberg @Ken_Goldberg]

Super proud of @yahavigal and @justkerrding of @AUTOLab_Cal @Berkeley_AI for winning @Berkeley_EECS PhD Awards for creativity in research!

[Cassidy Laidlaw @cassidy_laidlaw]

Excited to present our new paper on bridging the theory-practice gap in RL! For the first time, we give *provable* sample complexity bounds that closely align with *real deep RL algorithms'* performance in complex environments like Atari and Procgen.

[Kaushik Shivakumar @19kaushiks]

When building robotic systems, we create policies to make progress on our task. But what if we encounter states where attempting progress is challenging or risky? In our #ICRA2023 paper, we shape behavior in difficult parts of the state space for the task of untangling cables.

[Kaushik Shivakumar @19kaushiks]

Wouldn’t it be nice if ChatGPT could find your missing keys for you? Our latest research from @berkeley_ai + @GoogleAI suggests that robots can use large language models (LLMs) to find hidden objects faster. 🧵👇

[Lawrence Yunliang Chen @Lawrence_Y_Chen]

Can a robot open a crumpled plastic bag and pack objects into it? We’re developing algorithms for autonomous bagging. @UCBerkeley BAIR @berkeley_ai, @CMU_Robotics, and @ToyotaResearch #ICRA2023 🧵👇 (1/11)

[Yahav Avigal @yahavigal]

Does anyone enjoy folding laundry? Robots are often too slow; We’re presenting a paper @IROS2022 on how to speed up folding by an order of magnitude.

SpeedFolding uses novel perception and action primitives to fold 30-40 garments per hour.
(1/8)

[Satvik Sharma @satviks107]

When is your robot ready to switch from Sim to Real? We explore metrics for this in the context of a specific task. #CASE2022 from @AUTOLab_Cal @berkeley_ai, with paper, code, and video at https://t.co/Rd6rgdZAKp (1/8)

[Ken Goldberg @Ken_Goldberg]

About to present “Automated Pruning of Polyculture Plants” at #CASE 2022 Best Paper session. By M Presten, R Parikh, S Aeron, S Mukherjee, S Adebola, S Sharma, Mark Theis, W Teitelbaum: @AUTOLab_Cal https://t.co/D4hUbzeqW2

[Rigel Robinson @RigelRobinson]

New @UCBerkeley Campus Master Plan just dropped, and it is absolute eye candy for those who have long dreamed of A World Without Evans Hall

[Mark Presten @mark_presten_]

AG was supported in part by @NSF, @USDA, developed by @AUTOLab_Cal w/ @mark_presten_, @yahavigal, MarkTheis, SatvikSharma, @rishiparikh03, ShreyAeron, SandeepMukherjee, SebastianOehme, @funmilore, WalterTeitelbaum, VarunKamat & @Ken_Goldberg. ArXiv: https://t.co/4ls8jXsLmQ (9/9)

[Mark Presten @mark_presten_]

What’s the future of food? Polyculture farming is more sustainable than monoculture, but requires more labor. Could robots help? New results w/ AlphaGarden using “Real2Sim2Real” learning from @AUTOLab_Cal @UCBerkeley. Data, paper, and presentation: https://t.co/Kjh1Zjn5mG (1/9)

[Chung Min Kim @ChungMinKim]

It’s notoriously difficult to model the mechanics of compliant robot jaw tips during grasping! We found that a new tool from computer graphics can help. IPC-GraspSim, from @AUTOLab_Cal @UCBerkeley. Paper, data, video: https://t.co/3U3nT3FKFz (1/9)