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From DeepClaw to MagiClaw: Towards Universal Action Embodiment

2024-10-12
  • DeepClaw Project
    • DeepClaw Monash (FROBT2018)
    • DeepClaw 1.0 (AIM2020)
    • DeepClaw 2.0 (FROBT2022)
    • DeepClaw SUSTech (ICARM2023)
    • DeepClaw Toolkit (ICARM2024)
    • ICARM2023 Best Paper Award Finalist
    • UNESCO-ICHEI Higher Education Digitalisation Pioneer Case Award
  • Soft Polyhedral Networks
    • CoRL 2021
    • Adv. Int. Syst. 2023
    • MatDes 2024
    • IJRR 2024
    • TRO 2024
    • Adv. Int. Syst. 2024
    • TRO 202X
Tianyu Wu, Sheng Ge, Yujian Dong, Ronghan Xu, Fang Wan, Chaoyang Song: From DeepClaw to MagiClaw: Towards Universal Action Embodiment. 2024, (Extended Abstract accepted to IROS 2024 Workshop on Environment Dynamics Matters: Embodied Navigation to Movable Objects).

Abstract

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BibTeX (Download)

@workshop{Wu2024MagiClaw,
title = {From DeepClaw to MagiClaw: Towards Universal Action Embodiment},
author = {Tianyu Wu and Sheng Ge and Yujian Dong and Ronghan Xu and Fang Wan and Chaoyang Song},
url = {https://edmws.github.io/},
year  = {2024},
date = {2024-10-13},
urldate = {2024-10-13},
note = {Extended Abstract accepted to IROS 2024 Workshop on Environment Dynamics Matters: Embodied Navigation to Movable Objects},
keywords = {Corresponding Author, Extended Abstract, IROS, Workshop},
pubstate = {published},
tppubtype = {workshop}
}
Last updated on 2024-10-12