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tasl-lab · Aug 11, 2024 · 84fecbd · 84fecbd
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diff --git a/_cite/.cache/cache.db b/_cite/.cache/cache.db
diff --git a/_data/citations.yaml b/_data/citations.yaml
@@ -26,7 +26,9 @@
     link: https://github.com/tasl-lab/SoNIC/tree/main
   tags:
   - Social Navigation
+  - Human-Robot Interaction/Collaboration
   - Safety
+  - Generalization/Robustness
   - Uncertainty Quantification
   - Reinforcement Learning
   - Trajectory Prediction
@@ -48,11 +50,13 @@
     text: arXiv
     link: https://arxiv.org/abs/2401.12275
   tags:
+  - Social Navigation
+  - Human-Robot Interaction/Collaboration
   - Trajectory Prediction
   - Relational Reasoning
   - Reinforcement Learning
-  - Multi-Agent Systems
-  - Social Navigation
+  - Multi-Agent/Robot Systems
+  - Safety
   - Graph Neural Networks
   plugin: sources.py
   file: sources.yaml
@@ -74,7 +78,7 @@
   tags:
   - Trajectory Prediction
   - Autonomous Driving
-  - Multi-Agent Systems
+  - Multi-Agent/Robot Systems
   plugin: sources.py
   file: sources.yaml
 - title: 'Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization
@@ -132,6 +136,7 @@
   - Meta Learning
   - Generalization/Robustness
   - Autonomous Driving
+  - Human-Robot Interaction/Collaboration
   plugin: sources.py
   file: sources.yaml
 - title: Integrating Graph and Recurrent Neural Networks for Spatiotemporal Reasoning
@@ -186,6 +191,7 @@
     link: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10530461
   tags:
   - Autonomous Driving
+  - Human-Robot Interaction/Collaboration
   - Reinforcement Learning
   - Relational Reasoning
   - Explainability/Interpretability
@@ -227,6 +233,7 @@
     link: https://arxiv.org/abs/2403.06041
   tags:
   - Trajectory Prediction
+  - Human-Robot Interaction/Collaboration
   - Generalization/Robustness
   - Data Augmentation
   plugin: sources.py
@@ -347,6 +354,7 @@
   - Meta Learning
   - Generalization/Robustness
   - Autonomous Driving
+  - Human-Robot Interaction/Collaboration
   plugin: sources.py
   file: sources.yaml
 - title: Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle
@@ -369,6 +377,7 @@
   tags:
   - Trajectory Prediction
   - Autonomous Driving
+  - Human-Robot Interaction/Collaboration
   - Game Theory
   plugin: sources.py
   file: sources.yaml
@@ -435,7 +444,7 @@
     text: arXiv
     link: https://arxiv.org/abs/2208.10660
   tags:
-  - Multi-Agent Systems
+  - Multi-Agent/Robot Systems
   - Relational Reasoning
   - Trajectory Prediction
   plugin: sources.py
@@ -652,7 +661,7 @@
     text: arXiv
     link: https://arxiv.org/abs/2102.09117
   tags:
-  - Multi-Agent Systems
+  - Multi-Agent/Robot Systems
   - Trajectory Prediction
   - Multi-Object Tracking
   plugin: sources.py
@@ -675,7 +684,7 @@
     text: PDF
     link: https://jiachenli94.github.io/publications/Mix/RAL2021.pdf
   tags:
-  - Multi-Agent Systems
+  - Multi-Agent/Robot Systems
   - Trajectory Prediction
   - Continual Learning
   - Generative Models
@@ -701,6 +710,7 @@
   tags:
   - Reinforcement Learning
   - Autonomous Driving
+  - Human-Robot Interaction/Collaboration
   - Graph Neural Networks
   plugin: sources.py
   file: sources.yaml
@@ -744,7 +754,7 @@
   - Self-Supervised Learning
   - Trajectory Prediction
   - Generalization
-  - Multi-Agent Systems
+  - Multi-Agent/Robot Systems
   plugin: sources.py
   file: sources.yaml
 - title: 'Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art,
@@ -766,6 +776,7 @@
     link: https://arxiv.org/abs/2106.13052
   tags:
   - Autonomous Driving
+  - Human-Robot Interaction/Collaboration
   plugin: sources.py
   file: sources.yaml
 - title: Orientation-Aware Planning for Parallel Task Execution of Omni-Directional
@@ -873,7 +884,7 @@
   tags:
   - Trajectory Prediction
   - Multi-Object Tracking
-  - Multi-Agent Systems
+  - Multi-Agent/Robot Systems
   - Adversarial Learning
   - Generative Models
   plugin: sources.py

diff --git a/_data/sources.yaml b/_data/sources.yaml
@@ -24,7 +24,9 @@
       link: https://github.com/tasl-lab/SoNIC/tree/main
   tags:
     - Social Navigation
+    - Human-Robot Interaction/Collaboration
     - Safety
+    - Generalization/Robustness
     - Uncertainty Quantification
     - Reinforcement Learning
     - Trajectory Prediction
@@ -46,11 +48,13 @@
       text: arXiv
       link: https://arxiv.org/abs/2401.12275
   tags:
+    - Social Navigation
+    - Human-Robot Interaction/Collaboration
     - Trajectory Prediction
     - Relational Reasoning
     - Reinforcement Learning
-    - Multi-Agent Systems
-    - Social Navigation
+    - Multi-Agent/Robot Systems
+    - Safety
     - Graph Neural Networks
 
 - title: "CMP: Cooperative Motion Prediction with Multi-Agent Communication"
@@ -72,7 +76,7 @@
   tags:
     - Trajectory Prediction
     - Autonomous Driving
-    - Multi-Agent Systems
+    - Multi-Agent/Robot Systems
 
 - title: "Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting"
   authors:
@@ -129,6 +133,8 @@
     - Meta Learning
     - Generalization/Robustness
     - Autonomous Driving
+    - Human-Robot Interaction/Collaboration
+
 
 
 - title: "Integrating Graph and Recurrent Neural Networks for Spatiotemporal Reasoning"
@@ -185,6 +191,7 @@
       link: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10530461 
   tags:
     - Autonomous Driving
+    - Human-Robot Interaction/Collaboration
     - Reinforcement Learning
     - Relational Reasoning
     - Explainability/Interpretability
@@ -223,6 +230,7 @@
       link: https://arxiv.org/abs/2403.06041
   tags:
     - Trajectory Prediction
+    - Human-Robot Interaction/Collaboration
     - Generalization/Robustness
     - Data Augmentation
 
@@ -334,6 +342,7 @@
     - Meta Learning
     - Generalization/Robustness
     - Autonomous Driving
+    - Human-Robot Interaction/Collaboration
 
 
 - title: "Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments"
@@ -354,6 +363,7 @@
   tags:
     - Trajectory Prediction
     - Autonomous Driving
+    - Human-Robot Interaction/Collaboration
     - Game Theory
 
 - title: "DRAMA: Joint Risk Localization and Reasoning in Driving Scenarios"
@@ -418,7 +428,7 @@
       text: arXiv
       link: https://arxiv.org/abs/2208.10660
   tags:
-    - Multi-Agent Systems
+    - Multi-Agent/Robot Systems
     - Relational Reasoning
     - Trajectory Prediction
 
@@ -631,7 +641,7 @@
       text: arXiv
       link: https://arxiv.org/abs/2102.09117
   tags:
-    - Multi-Agent Systems
+    - Multi-Agent/Robot Systems
     - Trajectory Prediction
     - Multi-Object Tracking
 
@@ -653,7 +663,7 @@
       text: PDF
       link: https://jiachenli94.github.io/publications/Mix/RAL2021.pdf
   tags:
-    - Multi-Agent Systems
+    - Multi-Agent/Robot Systems
     - Trajectory Prediction
     - Continual Learning
     - Generative Models
@@ -678,6 +688,7 @@
   tags:
     - Reinforcement Learning
     - Autonomous Driving
+    - Human-Robot Interaction/Collaboration
     - Graph Neural Networks
 
 - title: "Spectral Temporal Graph Neural Network for Trajectory Prediction"
@@ -720,7 +731,7 @@
     - Self-Supervised Learning
     - Trajectory Prediction
     - Generalization
-    - Multi-Agent Systems
+    - Multi-Agent/Robot Systems
 
 
 - title: "Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks"
@@ -742,6 +753,7 @@
       link: https://arxiv.org/abs/2106.13052
   tags:
     - Autonomous Driving
+    - Human-Robot Interaction/Collaboration
 
 - title: "Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot"
   authors:
@@ -849,7 +861,7 @@
   tags:
     - Trajectory Prediction
     - Multi-Object Tracking
-    - Multi-Agent Systems
+    - Multi-Agent/Robot Systems
     - Adversarial Learning
     - Generative Models
 

diff --git a/index.md b/index.md
@@ -6,7 +6,7 @@
 {% include section.html %}
 ## Highlights
 {% capture text %}
-The ultimate goal of our research is to build **trustworthy**, **interactive**, and **human-centered** autonomous agents that can perceive, understand, and reason about the physical world; safely interact and collaborate with humans and other agents, and clearly explain their behaviors to build trust with humans so that they can benefit society in daily lives. To achieve this goal, we have been pursuing interdisciplinary research and unifying the techniques and tools from robotics, machine learning, reinforcement learning, explainable AI, control theory, optimization, and computer vision.
+The ultimate goal of our research is to build **trustworthy**, **interactive**, and **human-centered** autonomous embodied agents that can perceive, understand, and reason about the physical world; safely interact and collaborate with humans; and efficiently coordinate with other intelligent agents so that they can benefit society in daily lives. To accomplish this goal, our team has been pursuing interdisciplinary research and unifying the techniques and tools from robotics, trustworthy AI/ML, deep reinforcement learning, control theory, optimization, and computer vision.
 
 {%
   include button.html
@@ -38,7 +38,7 @@ The ultimate goal of our research is to build **trustworthy**, **interactive**,
 
 {% capture text %}
 
-This lab is directed by [Prof. Jiachen Li](https://profiles.ucr.edu/app/home/profile/jiachenl). Lab members consist of students with backgrounds in engineering, computer science, and mathematics. Our lab is actively seeking multiple highly motivated talents to join us as Ph.D. students (fully funded), master students, undergraduate students, onsite/remote research interns (outside of UC Riverside), visiting scholars, or postdoctoral researchers. If you are interested in joining us, please follow the application instructions on the Join Us page.
+This lab is directed by [Prof. Jiachen Li](https://profiles.ucr.edu/app/home/profile/jiachenl). Lab members consist of students with backgrounds in engineering, computer science, and mathematics. Our lab is actively seeking multiple highly motivated talents to join us as Ph.D. students (fully funded), master/undergraduate students, onsite/remote research interns (outside of UC Riverside), visiting scholars, or postdoctoral researchers. If you are interested in joining us, please follow the application instructions on the [Join Us](./join/) page.
 
 {%
   include button.html

diff --git a/join/index.md b/join/index.md
@@ -7,7 +7,7 @@ nav:
 # {% include icon.html icon="fa-regular fa-envelope" %}Join Us
 
 Our lab is actively seeking multiple highly motivated talents to join us as **Ph.D. students (fully funded), master students, undergraduate students, onsite/remote research interns (outside of UC Riverside), visiting scholars, or postdoctoral researchers**. <br>
-If you are interested, please submit this **[application form](https://docs.google.com/forms/d/1LLewwdhoxXcOv1B8j1KszhDWmdqoBc5QV5xTahVJieg/viewform)** to register your interest. Prospective students must also submit an application for a certain program on the **[UCR official application website](https://www.ucr.edu/apply)** before the corresponding deadline. If you are applying for a Ph.D. program in the ECE or CSE departments, please indicate Prof. Jiachen Li as your prospective advisor in the Statement of Purpose.
+If you are interested, please submit this **[application form](https://docs.google.com/forms/d/1LLewwdhoxXcOv1B8j1KszhDWmdqoBc5QV5xTahVJieg/viewform)** to register your interest. Prospective students must also submit an application for a certain program on the **[UCR official application website](https://www.ucr.edu/apply)** before the corresponding deadline. If you are applying for a Ph.D. program in EE or CS, please indicate Prof. Jiachen Li as your prospective advisor in the UCR official application form and Statement of Purpose.
 
 #### Research Topics (include but not limited to)
 

diff --git a/people_photos/justin_yue.png b/people_photos/justin_yue.png
diff --git a/publications/index.md b/publications/index.md
@@ -8,7 +8,7 @@ nav:
 
 Please refer to Prof. Jiachen Li's [Google Scholar](https://scholar.google.com/citations?user=1_f79vUAAAAJ&hl) for a complete list of publications.
 
-{% include tags.html tags="Social Navigation, Autonomous Driving, Human-Robot Interaction/Collaboration, Embodied AI, Foundation Models, Vision-Language, Multi-Agent Systems, Reinforcement Learning, Graph Neural Networks, Generative Models, Relational Reasoning, Safety, Generalization/Robustness, Uncertainty Quantification, Explainability/Interpretability, Meta Learning, Trajectory Prediction, Occupancy Prediction, Human Intention/Motion Prediction, Multi-Object Tracking" %}
+{% include tags.html tags="Social Navigation, Autonomous Driving, Human-Robot Interaction/Collaboration, Embodied AI, Foundation Models, Vision-Language, Multi-Agent/Robot Systems, Reinforcement Learning, Graph Neural Networks, Generative Models, Relational Reasoning, Safety, Generalization/Robustness, Uncertainty Quantification, Explainability/Interpretability, Meta Learning, Trajectory Prediction, Occupancy Prediction, Human Intention/Motion Prediction, Multi-Object Tracking" %}
 
 {% include search-box.html %}