Refactored track1 and track3 are released. Please reclone the repository. 🚀
Official document released on arXiv! arXiv:2411.12503 🚀
Track 2 is online! 🚀
Track 3 is online! 🚀
The official repository for Challenge is here. 🚀
The challenge webpage is online! 🚀
Manipulation is the cornerstone of robotics and embodied AI. The ManiSkill-Vitac Challenge focuses on contact-rich manipulation skill learning with tactile and visual sensing and aims to provide a standardized benchmarking platform for evaluating the performance. In this challenge, we build a simulation platform equipped with high-fidelity tactile and depth sensing simulation , allowing researchers to focus their efforts on policy learning. Additionally, we've built a physical platform that aligns with the simulation. Top participants in the simulation evaluation will be further assessed on this platform to test the Sim2Real capability.
Building upon last year's ManiSkill-Vitac-Challenge-2024, we expand the discipline and design three tracks, each representing a different perspective on manipulation. We hope it will bring together researchers in tactile sensing, computer vision and policy learning, driving the development of advanced manipulation skill learning and embodied AI techniques.
This challenge consists of three independent tracks. Participating teams can choose to compete in 1-3 tracks when registering. Each track is completely separate and does not interfere with the others. The evaluation criteria and advancement standards for each track are different.
Nov 15, 2024
Nov 15, 2024 to
Dec 31, 2024
Jan 1, 2025 to
Feb 15, 2025 20:00
(UTC-12)
Feb 16, 2025 to
Mar 20, 2025 20:00
(UTC-12)
Mar 29, 2025
2025 ICRA ViTac Workshop (TBD)
First prize winners of each track will be invited to give a 6-minute presentation at the ICRA 2025 ViTac Workshop.
Rui Chen
Tsinghua University
Hao Su
UC San Diego
Shan Luo
King's College London
Nathan Lepora
University of Bristol
Roberto Calandra
TU Dresden
Hamidreza Kasaei
University of Groningen
Jing Xu
Tsinghua University
Chuanyu Li
Tsinghua University* Sichuan University
Renjun Dang
Tsinghua University
Xiang Li
Tsinghua University* Beijing University of Chemical Technology
Zhiyuan Wu
King's College London
Qingshui Cao
Tsinghua University
Yuhao Liu
Tsinghua University
Feel free to reach out to us through Discord or Gmail. We are here to assist you!
Register a team to make submissions.Teams shall have no more than one leader and one instructor. The maximum number of additional team members is four. Fill in the form below to register for the challenge. We will contact you with further details.