Sarvesh Patil @servo97
Your friendly neighborhood PhD in Robotics @CMU. Soft robots for Manipulation | Causal Inference | MARL. servo97.github.io Pittsburgh, PA Joined November 2014-
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Announcing our EXAIT@ICML workshop paper: CURATE! Have a difficult target task distribution with sparse rewards that you want to train an RL agent to complete? 🤔 We tackle this problem using our curriculum learning algorithm, CURATE. 🎓 Link: openreview.net/forum?id=mAeQu… 1/6
Thrilled to join @virginia_tech as an assistant professor in @VirginiaTech_ME this fall! At the TEA lab (tealab.ai), we’ll explore hybrid AI systems for efficient and adaptive agents and robots 🤖 Thank you to everyone who has supported me along the way!
It was a dream come true to teach the course I wish existed at the start of my PhD. We built up the algorithmic foundations of modern-day RL, imitation learning, and RLHF, going deeper than the usual "grab bag of tricks". All 25 lectures + 150 pages of notes are now public! 🧵
Say ahoy to 𝚂𝙰𝙸𝙻𝙾𝚁⛵: a new paradigm of *learning to search* from demonstrations, enabling test-time reasoning about how to recover from mistakes w/o any additional human feedback! 𝚂𝙰𝙸𝙻𝙾𝚁 ⛵ out-performs Diffusion Policies trained via behavioral cloning on 5-10x data!
Robots need touch for human-like hands to reach the goal of general manipulation. However, approaches today don’t use tactile sensing or use specific architectures per tactile task. Can 1 model improve many tactile tasks? 🌟Introducing Sparsh-skin: tinyurl.com/y935wz5c 1/6
🤖We are introducing Grounded Task Axes (GTA) — a zero-shot skill transfer framework that enables robots to perform multi-step manipulation tasks on novel objects by generalizing modular controllers grounded through visual foundation models. ✅ No training, no demo, no…
Universal is putting dragon costumes on the Boston Dynamics robots, and they are insanely cute
Excited to share that our paper, "Multi-Robot Motion Planning with Diffusion Models," has been selected for a Spotlight presentation at #ICLR2025!🔦🤖 We scale diffusion planning to dozens of robots *without* multi-robot data by using search. Project: multi-robot-diffusion.github.io 🧵
Do you think that robot safety is “just collision avoidance”? In the open world, safety is more than collisions and must represent failures like spilling or breaking. Our new latent safety filters detect–and prevent–any policy from violating hard-to-specify constraints! (1/10)
Can 3D scene graphs act as effective online memory for solving EQA tasks in⚡️real-time? Presenting GraphEQA🤖, a framework for grounding Vision Language Models using multimodal memory for real-time embodied question answering.
I am on the industry job market, and am planning to interview around next March. I am attending @NeurIPSConf, and I hope to meet you there if you are hiring! My website: soyeonm.github.io Short bio about me: I am a 5th year PhD student at CMU MLD, working with @rsalakhu…
Excited to finally release our NeurIPS 2024 (spotlight) paper! We introduce Run-Length Tokenization (RLT), a simple way to significantly speed up your vision transformer on video with no loss in performance!
A dream I've had for five years is finally coming true: I'll be co-teaching a course next sem. on the algorithmic foundations of imitation learning / RLHF with my advisors, Drew Bagnell and @zstevenwu! Sign up if you're at CMU (17-740) or follow along at interactive-learning-algos.github.io!
Can robots make pottery🍵? Throwing a pot is a complex manipulation task of continuously deforming clay. We will present RoPotter, a robot system that uses structural priors to learn from demonstrations and make pottery @HumanoidsConf @CMU_Robotics 👇robot-pottery.github.io 1/8🧵
Sure matplotlib is cool, but what if I want to load my loss curves into the 2006 hit Flash game LineRider?
Congratulations to Dr. Shivam Vats (@ShivaamVats ) for successfully completing his Ph.D. thesis on Plan to Learn: Active Robot Learning by Planning! It delves into the kind of meta reasoning problems that we will need to address more and more as robots become ubiquitous.
I think books don’t let you read them until you’re ready. Until it’s the right time.
I think books don’t let you read them until you’re ready. Until it’s the right time.
Thinking about contributing to CoRL? We expect many submissions this year. Help the community in finding which papers are pushing the boundaries. Considering nominating yourself as a reviewer, if experienced in writing robot learning papers: forms.gle/wuzGCD3ZbB3im1…
A huge congratulations to Dr. Tabitha Lee (@TabulaRobot ) for successfully completing her Ph.D. thesis on Causal Robot Learning for Manipulation! It has been a great journey and key steps to bringing causal reasoning and learning into robotics.
Exciting news! Just as foundation models revolutionized text and image modeling, it's now time for Time Series Data! Introducing MOMENT, a family of Open Time Series Foundation Models, freshly accepted at @icmlconf 2024! 🎉
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