sudarshan s. harithas @sudarshan_s_h
Ph.D student @BrownUniversity Joined March 2022-
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sudarshan s. harithas retweeted
Robots can finally invent their own symbols for reasoning and planning 🤯. We show the first method that learns symbolic world models directly from raw demos—no labels, no hand-coded actions. This lets robots generalize to tasks 18× larger than training. 👇🧵
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sudarshan s. harithas retweeted
The power of generative models — now embodied in humanoids. Announcing DreamControl –– After a year-long research effort at General Robotics — we present a scalable framework for whole-body humanoid control that fuses diffusion priors with reinforcement learning to unlock…
sudarshan s. harithas retweeted
Is "scaling is all you need" the right path for robotics? Announcing our @corl_conf workshop on "Resource-Rational Robot Learning", where we will explore how to build efficient intelligent systems that learn & thrive under real-world constraints. Submission deadline: Aug 8 🧵
sudarshan s. harithas retweeted
How can 🤖 learn from human workers to provably reduce their workload in factories? Our latest @RoboticsSciSys paper answers this question by proposing the first cost-optimal interactive learning (COIL) algorithm for multi-task collaboration.
sudarshan s. harithas retweeted
At #CVPR2025, my team will present 3 main conference papers, including two highlights; and two workshop papers. Please say hi to Rao, Arthur, Aashish, Tao, Chaerin, Julia, and myself. aashishrai3799.github.io/uvgs/ ivl.cs.brown.edu/research/found… ivl.cs.brown.edu/research/gigah… joy-jy11.github.io
sudarshan s. harithas retweeted
Excited to share our latest work, "FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation," selected as ⭐Highlight⭐ at #CVPR2025! 🔗 Website ivl.cs.brown.edu/research/found… Thanks to all my amazing collaborators!
sudarshan s. harithas retweeted
How can robots understand spatiotemporal language in novel environments without retraining? 🗣️🤖 In our #IROS2024 paper, we present a modular system that uses LLMs and a VLM to ground spatiotemporal navigation commands in unseen environments described by multimodal semantic maps
sudarshan s. harithas retweeted
MANUS: Markerless Hand-Object Grasp Capture using Articulated 3D Gaussians arxiv.org/pdf/2312.02137…
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53 Followers 178 Following Ph.D. student in computer vision @BrownUniversity
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Vincent Sitzmann @vincesitzmann
16K Followers 307 Following Teaching AI to see, model, and interact with our 3D world. Assistant Professor @ MIT, leading the Scene Representation Group (https://t.co/h5gvhLYrtw).
Srinath Sridhar @drsrinathsridha
5K Followers 444 Following John E. Savage Assistant Professor @BrownCSDept. 3D computer vision/AI @BrownVisualComp, Previously: @StanfordAILab, MPI Informatics, @MSFTResearch.
Krishna Murthy @_krishna_murthy
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