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ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing

Authors :
Li, Chuanyu
Dang, Renjun
Li, Xiang
Wu, Zhiyuan
Xu, Jing
Kasaei, Hamidreza
Calandra, Roberto
Lepora, Nathan
Luo, Shan
Su, Hao
Chen, Rui
Publication Year :
2024

Abstract

This article introduces the ManiSkill-ViTac Challenge 2025, which focuses on learning contact-rich manipulation skills using both tactile and visual sensing. Expanding upon the 2024 challenge, ManiSkill-ViTac 2025 includes 3 independent tracks: tactile manipulation, tactile-vision fusion manipulation, and tactile sensor structure design. The challenge aims to push the boundaries of robotic manipulation skills, emphasizing the integration of tactile and visual data to enhance performance in complex, real-world tasks. Participants will be evaluated using standardized metrics across both simulated and real-world environments, spurring innovations in sensor design and significantly advancing the field of vision-tactile fusion in robotics.<br />Comment: Challenge webpage: https://ai-workshops.github.io/maniskill-vitac-challenge-2025/

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2411.12503
Document Type :
Working Paper