Call for Participation: Workshop @IROS 2024 - Environment Dynamics Matters: Embodied Navigation to Movable Objects

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CHIYING LIANG

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Oct 7, 2024, 6:33:31 PM10/7/24

to ai-robotics

Dear all,

We are delighted to announce our upcoming IROS 2024 Workshop on Environment Dynamics Matters: Embodied Navigation to Movable Objects (https://edmws.github.io/), to be held in Abu Dahbi, UAE, on October 14, 2024. We would like to invite you to participate and contribute your research in the form of short paper submissions.

In this workshop, we aim to emphasize the importance of environment dynamics in the long-horizon embodied navigation and manipulation task. As the environment dynamics is ubiquitous (for example, the same object could have been placed in different places associated with user routines), the robot should consider the movement of the object rather than searching static ones. Given the great challenges brought by the dynamic environment both in the establishment of simulation environment and corresponding algorithms, we would like to invite researchers all over the world to discuss on this topic in depth and further accelerate the development of the field.

Topics:

· extraction of spatio-temporal object information from the long-term interaction with the environment

· modeling of spatial-temporal object information using advanced machine learning technologies

· generation of dynamic simulation environment using AIGC technologies

· planning of smart actions for dynamic embodied navigation and manipulation

· deployment of dynamic embodied navigation and manipulation on real-world robotic platform

Best Poster Award:

One best paper will be selected from the submissions and awarded with a certificate. The winner will be announced at the workshop.

Invited Speaker:

Luca Carlone
MIT

Roberto Martin-Martin
University of Texas at Austin

Abhinav Valada
University of Freiburg

Oier Mees
UC Berkeley

Maithili Patel
Georgia Institute of Technology

Organizer:

Huaping Liu
Tsinghua University

David Hsu
National University of Singapore

Di Guo
Beijing University of Posts and Telecommunications

Tao Kong
ByteDance Research

Abhishek Gupta
University of Washington

Endorsement:

IEEE RAS Technical Committee on Algorithms for Planning and Control of Robot Motion
IEEE RAS Technical Committee on Cognitve Robotics
IEEE RAS Technical Committee on Machine Learning for Automation
IEEE RAS Technical Committee on Mobile Manipulation
IEEE RAS Technical Committee on Robot Learning
CAA Technical Committee on Intelligent Automation