#rss2024 risultati di ricerca

Here are a few very impressive clips highlighting the robustness of the controller for #Unitree's Go2 quadruped that I recorded today while in Delft at #RSS2024. 🎮 It is a bittersweet moment to think that this is powered by RL rather than MPC with trajectory optimisation...

Honored to receive the #RSS2024 Best Demo Paper Award for our paper “Demonstrating Agile Flight from Pxels without State Estimation”! Big congrats to the team @isgeles @l_bauersfeld @roaguiangel @jixing24 @realyunlong Maria Krinner! Paper: rpg.ifi.uzh.ch/docs/RSS24_Gel… Narrated video:…

Diffusion Policies are powerful and widely used. We made them much faster. Consistency Policy bridges consistency distillation techniques to the robotics domain and enables 10-100x faster policy inference with comparable performance. Accepted at #RSS2024

We are thrilled to share our breakthrough research on "Agile Flight from Pixels without State Estimation," to be presented and live-demonstrated at #RSS2024 next week! You heard well: no state estimation means no explicit visual localization, no SLAM, no VIO, and no IMU! Paper:…

We are demoing our LEAP Hand teleoperation system today (Thursday) at #rss2024 with @ManusMeta in van Hasseltzaal (the demo room behind the poster rooms in the 3rd floor). Come try and teleoperate our low-cost easy-to-build dexterous robots hands!

बाल स्वयंसेवक #sangh #RSS2024

If you are at #RSS2024 come and see our live demo on how to fly fast from pixels without state estimation (no visual localization, no SLAM, no VIO, no IMU). Last chance today from 12:00 to 13:30 hrs in the Mechanical Engineering building of TU Delft. Paper:…

(1/8) Introducing AdaptiGraph, our new paper accepted by #RSS2024 We show that a GNN dynamics model can model deformable objects with varying physical properties. Website: robopil.github.io/adaptigraph/ ArXiv: arxiv.org/abs/2407.07889 Work done w/ @BaoyuLi6, Kris Hauser, @YunzhuLiYZ

How far can you get by simply specifying that an object move? With contact-implicit MPC, quite far! Will Yang's paper "Dynamic On-Palm Manipulation via Controlled Sliding," accepted to #rss2024 pushes the limits of real-time dexterity. dynamic-controlled-sliding.github.io

Check out our #RSS2024 paper "#MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints." Model Predictive Contouring Control (MPCC) has shown promising results for agile robotics applications, including car and drone racing. Existing approaches…

Wondering how to let robots do complex manipulation like assembling a stool/gamepad/drone in a generalizable way? At #RSS2024, I will present our ongoing work "Towards Generalizable and Adaptive Multi-Part Robotic Assembly," at the "Geometric and Algebraic Structure in Robot…

Excited to be at #RSS2024 next week! Stop by our talk + poster during the Planning session on Tuesday for fun videos of robots learning in the wild and handling adversarial interventions from unfriendly gremlins 👿 (we promise no gremlins will be at the presentation!)

Can robots leverage human video data to process visual observations? Prior works tried image only representation learning but failed to learn 𝒂𝒄𝒕𝒊𝒐𝒏𝒂𝒃𝒍𝒆 features. Our #RSS2024 project - named HRP - shows how human affordances can do the job better! @CMU_Robotics 1/5

🤖 Excited for #RSS2024? Don’t miss our workshop on "Geometric and Algebraic Structure in Robot Learning"! Submit workshop papers (by 6/10 AOE) and dive into discussions on leveraging these structures for enhanced #robotics. 🚀🔍 Join us on 07/19 in Delft, Netherlands!

The CMU LeCAR Lab will present several papers at #RSS2024 this week, covering topics from learning & control & optimization, safe autonomy, to humanoids. Check them out!

Render and Diffuse (R&D) uses joint observation-action representation to learn low-level robot actions using a learnt diffusion process that iteratively updates virtual renders of robot actions leading to big sample-efficiency gains 💪 #RSS2024 vv19.github.io/render-and-dif… Dyson RLL

Very honoured to receive this finalist certificate at #RSS2024 @RoboticsSciSys Thanks to all my amazing coauthors @TairanHe99 @_wenlixiao @guanqi_he Changliu @GuanyaShi, the great reviewers and AC who helped us a lot in improving the paper, and the committee @maththrills et al

Heading to #RSS2024 at Delft. Excited to meet the RSS community and present some exciting research from the PEARL group and collaborators 🤖 (1/8) On Monday, July 15, we will be co-organizing the GenAI-HRI workshop sites.google.com/view/gai-hri/h…

ஆர்.எஸ்.எஸ். மாநில அமைப்பாளர்கள் கூட்டம் ராஞ்சியில் இன்று தொடங்கியது #RSS2024