Log inSign up
Log inSign up
Sriyash Poddar
97 posts
@sriyash__

Sriyash Poddar

@sriyash__
phd @uwcse | undergrad @iitkgp | building robots
Seattle, WA
sriya.sh
Joined June 2020
734 Following
332 Followers
RepliesRepliesRepostsRepostsMediaMedia

Log in or sign up for X

See what’s happening and join the conversation

Continue with phone
or
Log in with username or email
Terms·Privacy·Cookies·Accessibility·US TIDA·Ads Info·© 2026 X Corp.
  • @sriyash__
    Sriyash Poddar
    @sriyash__
    Mar 26
    Extremely simple and scalable way from @patrickhyin @TylerW24089 to generate dextrous behavior that transfers sim2real!! Have been personally using it to generate expert policies that work from literally any reset position.
    @patrickhyin
    Patrick Yin
    @patrickhyin
    Mar 26
    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
    00:00
  • @sriyash__
    Sriyash Poddar
    @sriyash__
    Aug 25, 2024
    How can we align foundation models with populations of diverse users with different preferences? We are excited to share our work on Personalizing RLHF using Variational Preference Learning! 🧵 📜: arxiv.org/abs/2408.10075 🌎: weirdlabuw.github.io/vpl/
    GIF
    2
  • @sriyash__
    Sriyash Poddar
    @sriyash__
    Oct 3, 2023
    Excited to present our #socialnavigation paper at #IROS2023. We ask the question: what is the relevance of SOTA human motion prediction models to social robot navigation? We approach this question through lab experiments on a ballbot and a series of benchmarking scenarios! 🧵
    GIF
    1
  • @sriyash__
    Sriyash Poddar
    @sriyash__
    Jun 22, 2023
    Excited to share our paper accepted at #IROS2023. Looking forward to attending the conference in Detroit!
    @mavrojean
    Christoforos Mavrogiannis
    @mavrojean
    Jun 22, 2023
    Replying to @mavrojean
    In arxiv.org/abs/2303.01424 we investigate the impact of different prediction models on crowd navigation performance, observing that the benefits of SOTA prediction models might not translate to real-world navigation performance in crowded scenes. x.com/mavrojean/stat…
  • @sriyash__
    Sriyash Poddar
    @sriyash__
    Jun 1, 2023
    Super excited to share our R-AL work on crowd navigation presented at #ICRA2023 today. My first robotics paper :) with the most amazing mentors @mavrojean @siddhss5. Also thanks to Krishna and Anush for being awesome collaborators. Checkout this 🧵by @mavrojean to know more.
    @mavrojean
    Christoforos Mavrogiannis
    @mavrojean
    May 23, 2023
    Excited to present our new crowd navigation paper at #ICRA2023 next week! tl;dr: A topological formalism of passing empowers a MPC with a very coarse human motion model to safely wind through dense crowds! paper: arxiv.org/abs/2109.05084 video: youtu.be/o1o_Rd7MEcg 🧵👇