Adding accepted papers.

probabilisticrobotics · Apr 15, 2024 · e00ee7b · e00ee7b
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diff --git a/_posts/2022-01-05-overview.md → _posts/2022-01-01-overview.md b/_posts/2022-01-05-overview.md → _posts/2022-01-01-overview.md
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 title: About
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+
 Probabilistic robotics, a vibrant field that has gained enormous popularity since its inception, provides a compelling paradigm for autonomous robots to contend with the complex real world. Probabilistic representations yield beneficial properties for trustworthy learning-enabled robots deployed in the real world, e.g., uncertainty estimation, ways to elegantly handle incomplete data and the unifying perspective on perception, control and learning. On the other hand, recent advances in deep learning have dramatically improved the suitability and performance of robot learning, e.g., large language models (LLMs), visual foundational models, and Neural Radiance Fields (NeRFs), to name a few. Though there have been advances in pursuing the probabilistic extension of these concepts in recent years, many core challenges associated with real-world deployment remain unsolved. 
 
 In light of the above, this workshop aims to provide a forum to bring together robotic and machine learning researchers as well as industry experts with experience in developing probabilistic methods that dovetail with robot learning. In order to facilitate breakthrough research in these areas, the discussions will be centred on past achievements, current requirements, urgent challenges and future directions to enable promising applications.
 
+
+
+**Important Dates:**
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+* Submission Deadline: 1st April, 2024
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+* Acceptance Notification: 10th April, 2024
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+* Camera-Ready Deadline: 1st May, 2024
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+* Workshop Date: 13th May, 2024
+
+<br>
+
+<!-- ### Updates
+
+*  25th Mar, 2024: The deadline for the paper submission has been extended to April 1st, 2024.
+  
+*  26th Feb, 2024: [**Submssion Website**](https://openreview.net/group?id=IEEE.org/2024/ICRA/Workshop/Back_to_the_Future) opens! For more details, please check the [**Call For Papers**](#04) on this website.
+ -->
diff --git a/_posts/2022-01-01-updates.md b/_posts/2022-01-01-updates.md
diff --git a/_posts/2022-01-03-papers.md b/_posts/2022-01-03-papers.md
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+---
+layout: default
+title: Accepted Papers
+---
+
+| **Title**                     | **Authors** |
+|----------------|-------------------------------------------------------------------------------|
+| [3D Diffuser Actor: Policy Diffusion with 3D Scene Representations](https://openreview.net/forum?id=vRcoBFZ03X) | [Tsung-Wei Ke, Nikolaos Gkanatsios, and Katerina Fragkiadaki](https://openreview.net/forum?id=vRcoBFZ03X) |
+| [Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph](https://openreview.net/forum?id=9r1hE0wux3) | [Utkarsh Aashu Mishra, Yongxin Chen, and Danfei Xu](https://openreview.net/forum?id=9r1hE0wux3) |
+| [uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties](https://openreview.net/forum?id=4lBp04oPcy) | [Kshitij Sirohi, Daniel Büscher, and Wolfram Burgard](https://openreview.net/forum?id=4lBp04oPcy) |
+| [Latent Space Exploration and Trajectory Space Update in Temporally-Correlated Episodic Reinforcement Learning](https://openreview.net/forum?id=e8dcuniLcA) | [Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, and Gerhard Neumann](https://openreview.net/forum?id=e8dcuniLcA) |
+| [Safe Offline Reinforcement Learning using Trajectory-Level Diffusion Models](https://openreview.net/forum?id=o575pIMeEz) | [Ralf Römer, Lukas Brunke, Martin Schuck, and Angela P. Schoellig](https://openreview.net/forum?id=o575pIMeEz) |
+| [Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction](https://openreview.net/forum?id=wLneLipQdS) | [Justin Lidard, Hang Pham, Ariel Bachman, Bryan Boateng, and Anirudha Majumdar](https://openreview.net/forum?id=wLneLipQdS) |
+| [PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration](https://openreview.net/forum?id=DTu0hqvWaU) | [Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, and Gregory S Chirikjian](https://openreview.net/forum?id=DTu0hqvWaU) |
+| [Revisiting Semantic Class Uncertainties for Robust Visual Place Recognition](https://openreview.net/forum?id=UsvAVP3EFM) | [Alex Junho Lee and Dong jin Hyun](https://openreview.net/forum?id=UsvAVP3EFM) |
+| [Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners](https://openreview.net/forum?id=9w1JnHG8Wn) | [Zhi Zheng, Qian Feng, hang li, Alois Knoll, and Jianxiang Feng](https://openreview.net/forum?id=9w1JnHG8Wn) |
+| [Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models](https://openreview.net/forum?id=gHhBNIq9Cs) | [Zhenjiang Mao, Siqi Dai, Yuang Geng, and Ivan Ruchkin](https://openreview.net/forum?id=gHhBNIq9Cs) |
+| [Enabling Stateful Behaviors for Diffusion-based Policy Learning](https://openreview.net/forum?id=eSz7mwlFuX) | [Xiao Liu, Fabian C Weigend, Yifan Zhou, and Heni Ben Amor](https://openreview.net/forum?id=eSz7mwlFuX) |
+| [Learning Emergent Gaits with Decentralized Phase Oscillators: on the role of Observations, Rewards, and Feedback](https://openreview.net/forum?id=CRfQjJY80T) | [Jenny Zhang, Steve Heim, Se Hwan Jeon, and Sang bae Kim](https://openreview.net/forum?id=CRfQjJY80T) |
+| [LiRA: Light-Robust Adversary for Model-based Reinforcement Learning](https://openreview.net/forum?id=fuVsVMkjES) | [Taisuke Kobayashi](https://openreview.net/forum?id=fuVsVMkjES) |
+| [Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty](https://openreview.net/forum?id=YEcJR7PTl8) | [Carlos Quintero-Pena, Wil Thomason, Zachary Kingston, Anastasios Kyrillidis, and Lydia E Kavraki](https://openreview.net/forum?id=YEcJR7PTl8) |
+| [Spatial Reasoning with Open Set Vocabulary Object Detectors for Robot Perception](https://openreview.net/forum?id=f8ApFaFW3x) | [Negar Nejatishahidin and Jana Kosecka](https://openreview.net/forum?id=f8ApFaFW3x) |
+| [EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning](https://openreview.net/forum?id=Z9a24SvLeo) | [Kallol Saha, Vishal Mandadi, Jayaram Reddy, Ajit Srikanth, Aditya Agarwal, Bipasha Sen, Arun Kumar Singh, and Madhava Krishna](https://openreview.net/forum?id=Z9a24SvLeo) |
diff --git a/_posts/2022-01-04-papers.md b/_posts/2022-01-04-papers.md
diff --git a/_posts/2022-01-03-schedule.md → _posts/2022-01-04-schedule.md b/_posts/2022-01-03-schedule.md → _posts/2022-01-04-schedule.md
@@ -11,10 +11,10 @@ title: Schedule
 | 10:00-10:30| Masashi Sugiyama | Learning under Continuous Distribution Shifts                                  |
 | 10:30-11:00|                | **Coffee break**                                                                   |
 | 11:00-11:30| Ayoung Kim     | Deep learning with a graph SLAM for robot manipulation                         |
-| 11:30-12:00| Peter Karkus   |                                                                               |
+| 11:30-12:00| Peter Karkus   | End-to-end yet Modular Probabilistic Robot Learning  |
 | 12:00-13:00|                | **Lunch break**                                                                    |
 | 13:00-13:30| Sharon Li      | How to Detect Out-of-Distribution Data in the Wild? Challenges, Progress, and Opportunities |
-| 13:30-14:00| Niko Sünderhauf|                                                                               |
+| 13:30-14:00| Niko Sünderhauf| Predictive Uncertainty Neural Radiance Fields for Robotics   |
 | 14:00-15:00|                | Contributed talks from selected paper                                          |
 | 15:00-15:30|                | Interactive poster session                                                     |
 | 15:00-15:30|                | **Coffee break**                                                                   |

diff --git a/_posts/2022-01-06-organizers.md → _posts/2022-01-05-organizers.md b/_posts/2022-01-06-organizers.md → _posts/2022-01-05-organizers.md
diff --git a/_posts/2022-01-07-sponsors.md → _posts/2022-01-06-sponsors.md b/_posts/2022-01-07-sponsors.md → _posts/2022-01-06-sponsors.md
diff --git a/_posts/2022-01-08-contact.md → _posts/2022-01-07-contact.md b/_posts/2022-01-08-contact.md → _posts/2022-01-07-contact.md