Skip to content

Commit d8867cf

Browse files
jiachenli94jiachenli94
committed
update pubs, news, research
1 parent 94666ca commit d8867cf

File tree

11 files changed

+291
-57
lines changed

11 files changed

+291
-57
lines changed

‎_cite/.cache/cache.db

0 Bytes
Binary file not shown.

‎_data/citations.yaml

Lines changed: 119 additions & 20 deletions
Original file line numberDiff line numberDiff line change
@@ -23,7 +23,7 @@
2323
link: https://sonic-social-nav.github.io/
2424
- type: paper_code
2525
text: Code
26-
link: https://github.com/tasl-lab/SoNIC/tree/main
26+
link: https://github.com/tasl-lab/SoNIC-Social-Nav
2727
tags:
2828
- Social Navigation
2929
- Human-Robot Interaction/Collaboration
@@ -44,7 +44,7 @@
4444
- Y. Dong
4545
- and J. Li
4646
publisher: International Conference on Robotics and Automation (ICRA 2025)
47-
date: '2025-01-02'
47+
date: '2025-01-20'
4848
image: ./paper_images/lamma-p.png
4949
buttons:
5050
- type: paper_link
@@ -67,6 +67,30 @@
6767
- Cooperative Planning
6868
plugin: sources.py
6969
file: sources.yaml
70+
- title: Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph
71+
Generation
72+
authors:
73+
- S. Nag
74+
- U. Ghosh
75+
- S. Bose
76+
- C. Ta
77+
- J. Li
78+
- and A. Roy-Chowdhury
79+
publisher: International Conference on Computer Vision and Pattern Recognition (CVPR
80+
2025)
81+
date: '2025-01-08'
82+
image: ./paper_images/conformal_scene_graph.png
83+
buttons:
84+
- type: paper_link
85+
text: arXiv
86+
link: https://arxiv.org/abs/2503.13947
87+
tags:
88+
- Foundation Models
89+
- Vision-Language
90+
- Scene Understanding
91+
- Uncertainty Quantification
92+
plugin: sources.py
93+
file: sources.yaml
7094
- title: Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
7195
authors:
7296
- J. Li\*
@@ -102,7 +126,7 @@
102126
- H. Qiu
103127
- and J. Li
104128
publisher: IEEE Robotics and Automation Letters (RA-L)
105-
date: '2025-01-03'
129+
date: '2025-03-01'
106130
image: ./paper_images/wu2024cooperative.png
107131
buttons:
108132
- type: paper_link
@@ -118,6 +142,27 @@
118142
- Multi-Agent/Robot Systems
119143
plugin: sources.py
120144
file: sources.yaml
145+
- title: 'STAMP: Scalable Task And Model-agnostic Collaborative Perception'
146+
authors:
147+
- X. Gao
148+
- R. Xu
149+
- J. Li
150+
- Z. Wang
151+
- Z. Fan
152+
- and Z. Tu
153+
publisher: International Conference on Learning Representations (ICLR 2025)
154+
date: '2025-01-11'
155+
image: ./paper_images/stamp.png
156+
buttons:
157+
- type: paper_link
158+
text: arXiv
159+
link: https://arxiv.org/abs/2501.18616
160+
tags:
161+
- Cooperative Perception
162+
- Multi-agent/robot Systems
163+
- Autonomous Driving
164+
plugin: sources.py
165+
file: sources.yaml
121166
- title: 'Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization
122167
of Motion Forecasting'
123168
authors:
@@ -126,7 +171,7 @@
126171
- S. Bae
127172
- and D. Isele
128173
publisher: IEEE Robotics and Automation Letters (RA-L)
129-
date: '2025-01-01'
174+
date: '2025-01-10'
130175
image: ./paper_images/li2024adaptive.png
131176
buttons:
132177
- type: paper_link
@@ -155,6 +200,27 @@
155200
- Autonomous Driving
156201
plugin: sources.py
157202
file: sources.yaml
203+
- title: 'CoMamba: Real-time Cooperative Perception Unlocked with State Space Models'
204+
authors:
205+
- J. Li
206+
- X. Liu
207+
- B. Li
208+
- R. Xu
209+
- J. Li
210+
- H. Yu
211+
- and Z. Tu
212+
publisher: under review
213+
image: ./paper_images/comamba.png
214+
buttons:
215+
- type: paper_link
216+
text: arXiv
217+
link: https://arxiv.org/abs/2409.10699
218+
tags:
219+
- Cooperative Perception
220+
- Multi-agent/robot Systems
221+
- Autonomous Driving
222+
plugin: sources.py
223+
file: sources.yaml
158224
- title: Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly
159225
Interactive Environments
160226
authors:
@@ -178,35 +244,68 @@
178244
- Human-Robot Interaction/Collaboration
179245
plugin: sources.py
180246
file: sources.yaml
181-
- title: Integrating Graph and Recurrent Neural Networks for Spatiotemporal Reasoning
247+
- title: 'Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement
248+
Learning'
182249
authors:
183-
- V. Dax
184-
- Z. Li
185-
- X. Zhang
186-
- H. Shekhar
250+
- U. Ghosh
251+
- D. Raychaudhuri
187252
- J. Li
188-
- and M. J. Kochenderfer
189-
publisher: submitted to IEEE Transactions on Neural Networks and Learning Systems
190-
(T-NNLS)
253+
- K. Karydis
254+
- and A. Roy-Chowdhury
255+
publisher: under review
256+
image: ./paper_images/preferencevlm.png
191257
buttons:
192258
- type: paper_link
193-
text: ComingSoon
259+
text: arXiv
260+
link: https://arxiv.org/abs/2502.01616
194261
tags:
195-
- Graph Neural Networks
196-
- Spatial-Temporal Reasoning
262+
- Foundation Models
263+
- Vision-Language
264+
- Embodied AI
197265
plugin: sources.py
198266
file: sources.yaml
199-
- title: The Generalization Gap of Locally Unordered GNNs
267+
- title: Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement
268+
Learning in USV Swarm
200269
authors:
201-
- V. Dax
270+
- H. Kim
271+
- K. Lee
272+
- J. Park
202273
- J. Li
203-
- and M. J. Kochenderfer
274+
- and J. Park
275+
publisher: under review
276+
image: ./paper_images/implicit_preference.png
277+
buttons:
278+
- type: paper_link
279+
text: arXiv
280+
link: https://arxiv.org/abs/2503.03796
281+
tags:
282+
- Foundation Models
283+
- Vision-Language
284+
- Embodied AI
285+
- Reinforcement Learning
286+
- Multi-agent/robot Systems
287+
plugin: sources.py
288+
file: sources.yaml
289+
- title: Can Large Vision Language Models Read Maps Like a Human?
290+
authors:
291+
- S. Xing
292+
- Z. Sun
293+
- S. Xie
294+
- K. Chen
295+
- Y. Huang
296+
- Y. Wang
297+
- J. Li
298+
- D. Song
299+
- and Z. Tu
204300
publisher: under review
301+
image: ./paper_images/mapbench.png
205302
buttons:
206303
- type: paper_link
207-
text: ComingSoon
304+
text: arXiv
305+
link: https://arxiv.org/abs/2503.14607
208306
tags:
209-
- Graph Neural Networks
307+
- Foundation Models
308+
- Vision-Language
210309
plugin: sources.py
211310
file: sources.yaml
212311
- title: Interactive Autonomous Navigation with Internal State Inference and Interactivity

‎_data/research.yaml

Lines changed: 16 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -23,16 +23,17 @@
2323
representations to build trust with humans.<br><br>
2424
2525
**Related Publications:** <br>
26-
1. [SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning](https://arxiv.org/abs/2407.17460), submitted to IEEE Robotics and Automation Letters (RA-L), under review. <br>
26+
1. [SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning](https://arxiv.org/abs/2407.17460), under review. <br>
2727
2. [Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation](https://arxiv.org/abs/2401.12275), submitted to IEEE Transactions on Robotics (T-RO), under review. <br>
28-
3. [Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments](https://arxiv.org/abs/2407.09475), submitted to IEEE Robotics and Automation Letters (RA-L), under review. <br>
29-
4. [Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation](https://arxiv.org/abs/2311.16091), IEEE Transactions on Robotics (T-RO), 2024. <br>
30-
5. [Robust Driving Policy Learning with Guided Meta Reinforcement Learning](https://arxiv.org/abs/2307.10160), ITSC 2023. <br>
31-
6. [Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments](https://www.researchgate.net/publication/374831905_Game_Theory-Based_Simultaneous_Prediction_and_Planning_for_Autonomous_Vehicle_Navigation_in_Crowded_Environments), ITSC 2023. <br>
32-
7. [Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks](https://arxiv.org/abs/2106.13052), ITSC 2021. <br>
33-
8. [Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships](https://arxiv.org/abs/2011.04251), ICRA 2021. <br>
34-
9. [Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot](https://arxiv.org/abs/2108.00716), IROS 2021. <br>
35-
10. [Safe and Feasible Motion Generation for Autonomous Driving via Constrained Policy Net](https://ieeexplore.ieee.org/abstract/document/8216790), IECON 2017. <br>
28+
3. [Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm](https://arxiv.org/abs/2503.03796), under review. <br>
29+
4. [Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments](https://arxiv.org/abs/2407.09475), IEEE Robotics and Automation Letters (RA-L), 2025. <br>
30+
5. [Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation](https://arxiv.org/abs/2311.16091), IEEE Transactions on Robotics (T-RO), 2024. <br>
31+
6. [Robust Driving Policy Learning with Guided Meta Reinforcement Learning](https://arxiv.org/abs/2307.10160), ITSC 2023. <br>
32+
7. [Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments](https://www.researchgate.net/publication/374831905_Game_Theory-Based_Simultaneous_Prediction_and_Planning_for_Autonomous_Vehicle_Navigation_in_Crowded_Environments), ITSC 2023. <br>
33+
8. [Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks](https://arxiv.org/abs/2106.13052), ITSC 2021. <br>
34+
9. [Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships](https://arxiv.org/abs/2011.04251), ICRA 2021. <br>
35+
10. [Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot](https://arxiv.org/abs/2108.00716), IROS 2021. <br>
36+
11. [Safe and Feasible Motion Generation for Autonomous Driving via Constrained Policy Net](https://ieeexplore.ieee.org/abstract/document/8216790), IECON 2017. <br>
3637
3738
3839
# repo: greenelab/lab-website-template
@@ -64,6 +65,8 @@
6465
6566
**Related Publications:** <br>
6667
1. [LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner](https://arxiv.org/abs/2409.20560), ICRA 2025. <br>
68+
2. [Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning](https://arxiv.org/abs/2502.01616), under review. <br>
69+
3. [Can Large Vision Language Models Read Maps Like a Human?](https://arxiv.org/abs/2503.14607), under review. <br>
6770
# repo: greenelab/lab-website-template
6871

6972
tags:
@@ -94,6 +97,8 @@
9497
9598
**Related Publications:** <br>
9699
1. [CMP: Cooperative Motion Prediction with Multi-Agent Communication](https://arxiv.org/abs/2403.17916), IEEE Robotics and Automation Letters (RA-L), 2025. <br>
100+
2. [STAMP: Scalable Task And Model-agnostic Collaborative Perception](https://arxiv.org/abs/2501.18616), ICLR 2025. <br>
101+
3. [CoMamba: Real-time Cooperative Perception Unlocked with State Space Models](https://arxiv.org/abs/2409.10699), under review. <br>
97102
# repo: greenelab/lab-website-template
98103

99104
tags:
@@ -191,8 +196,8 @@
191196
192197
**Related Publications\:** <br>
193198
1. [CMP: Cooperative Motion Prediction with Multi-Agent Communication](https://arxiv.org/abs/2403.17916), IEEE Robotics and Automation Letters (RA-L), 2025. <br>
194-
2. [Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting](https://arxiv.org/abs/2407.09475), submitted to IEEE Robotics and Automation Letters (RA-L), under review. <br>
195-
3. [Self-Supervised Multi-Future Occupancy Forecasting for Autonomous Driving](https://arxiv.org/abs/2407.21126), submitted to IEEE Robotics and Automation Letters (RA-L), under review. <br>
199+
2. [Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting](https://arxiv.org/abs/2407.09475), IEEE Robotics and Automation Letters (RA-L), 2025. <br>
200+
3. [Self-Supervised Multi-Future Occupancy Forecasting for Autonomous Driving](https://arxiv.org/abs/2407.21126), IEEE Robotics and Automation Letters (RA-L), 2025. <br>
196201
4. [Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments](https://arxiv.org/abs/2309.13893), ICRA 2024. <br>
197202
5. [Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving](https://arxiv.org/abs/2310.01723), IV 2024. <br>
198203
6. [Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints](https://arxiv.org/abs/2306.01075), ICRA 2023. <br>

0 commit comments

Comments
 (0)