Complex long-horizon and sparse reward robotics tasks are challenging for scaling end-to-end learning methods. By contrast, planning approaches have shown great potential to handle such complex tasks effectively. One of the major criticisms of planning-based approaches has been the lack of availability of accurate world models (aka abstractions) to utilize.
There has been a renewed interest in using learning-based approaches to learn symbolic representations that support planning. However, this research is often fragmented in disjoint sub-communities such as task and motion planning, reinforcement learning (hierarchical, model-based), planning with formal logic, planning with natural language (language models), and neuro-symbolic AI. This workshop aims to create a common forum to share insights, discuss key questions, and chart a path forward via abstraction.
We aim to facilitate this bridge-building in two ways: (1) a diverse selection of papers and invited speakers; and (2) a highly interactive workshop. Concretely, the workshop will highlight approaches that use different learning methods, mainly to learn symbolic and composable representations of world models. Key questions for discussion include:
Following the success of the previous offering of the workshop at CoRL 2023, we propose a second iteration of the workshop at CoRL 2024. Specifically, the previous iteration of the workshop received a total of 26 submissions highlighting important characteristics and challenges of learning abstractions. They highlighted how pre-trained foundational models, specifically LLMs or VLMs, enable learning various forms of abstractions for a diverse set of robotics tasks. This iteration of the workshop would have a stronger emphasis on learning provably correct symbolic abstractions using different techniques.
We solicit papers of the following topics:
Paper Submission Deadline | October 11, 2024 (AoE) |
Paper Acceptance | October 23, 2024 (AoE) |
Camera-ready Version Due | November 8, 2024 (AoE) |
Workshop | November 9, 2024 |
Session 1 |
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8:25 AM - 8:30 AM | Welcome Remarks |
8:30 AM - 9:00 AM | Invited Talk: Eric Rosen |
9:00 AM - 9:30 AM | Invited Talk: Gregory Stein |
9:30 AM - 10:00 AM | Invited Talk: Marc Toussaint |
10:00 AM - 10:30 AM | Contributed Talks (3 talks)
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10:30 AM - 11:00 AM | Coffee Break |
Session 2 |
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11:00 AM - 11:30 AM | Invited Talk: Georgia Chalvatzaki |
11:30 AM - 12:00 PM | Invited Talk: Leslie Kaelbling |
12:00 PM - 1:45 PM | Lunch Break (with Conference Industry Panel) |
Session 3 |
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1:45 PM - 2:15 PM | Invited Talk: Caelan Garrett |
2:15 PM - 2:45 PM | Invited Talk: Siddharth Srivastava |
2:45 PM - 3:30 PM | Contributed Talks (3 talks)
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3:30 PM - 4:00 PM | Coffee Break |
Session 4 |
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4:00 PM - 4:50 PM |
Panel Discussion
Moderator: Leslie Kaelbling Chelsea Finn Animesh Garg Siddharth Srivastava Marc Toussaint Vincent Vanhoucke |
4:50 PM - 6:00 PM | Closing Remarks & Poster Session |
Abhishek Paudel | Ahmed Hendawy | Ahmed Jaafar* | Akhil Bagaria |
Alper Ahmetoglu | Anant Sah* | Bartłomiej Cieślar | Ben Eisner* |
Benned Hedegaard | Bingjie Tang | Chengguang Xu | Chongkai Gao |
Cunjun Yu* | Elie Aljalbout | Eric Rosen* | Hongyi Zhou |
Hongze Wang | Jason Xinyu Liu | Jayesh Nagpal | Jiafei Duan |
Jiaxu Xing | Jiyong Ahn | Kevin Jatin Vora | Linfeng Zhao |
Max Merlin | Mingxi Jia | Minyoung Hwang | Nils Blank* |
Omkar Patil | Pulkit Verma* | Rashmeet Kaur Nayyar | Roshan Dhakal* |
Shivam Vats | Shivansh Patel | Shreyas Sundara Raman* | Shu Wang |
Snehal Jauhri | Tabitha Edith Lee* | Tianyang Pan* | Tom Silver* |
Utkarsh Aashu Mishra* | Vignesh Prasad | Viraj Parimi | Weiwei Gu* |
Weiyu Liu | Xiaogang Jia | Xiaolin Fang | Xusheng Luo |
Yaoyao Qian | Yixuan Huang | Yongchao Chen | Yuchen Liu |
Zirui Zhao* | Ziyi Yang* |