Exploring Interpretable & Explainable Robotics
Welcome to the TRAIL Conference! We're excited to host this event, which is specifically designed to foster a supportive community for early-stage researchers. It's an ideal platform to share your work, gain valuable feedback, and connect with peers.
This year's theme is "Interpretability and Explainability," exploring the crucial challenges and innovations in Social Robotics and Human-Robot Interaction. If your research touches on these fields, we strongly encourage you to submit.
We welcome submissions on the following topics:
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Causal and Counterfactual Reasoning in AI
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Cognitive Modeling for Interpretable and Human-Aligned AI
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Evaluation for Explainability, Trust, Transparency, and Faithfulness
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Explainable Reinforcement Learning (RL)
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Failure Recognition, Assessment, and Recovery in Robotic Scenarios
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Foundation models for Interpretability and Transparency
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Human and Context Awareness in Robotics
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Interactive Visualization and Explanation Interfaces
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Interpretable and Transparent Robot Behavior
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Knowledge-Based Robotic Design
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Multimodal and Grounded Explanations (Vision, Language, and Sensor Data)
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Multimodality and Language Grounding in Vision, Sound, Robotics, and Beyond
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Navigation, Planning, and Control in Robotic Systems
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Post-hoc Explanation Techniques
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Robotic Decision-Making
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Security and Ethics AI in Explainable Systems
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Trustworthiness, Faithfulness, and Robustness in AI and Robotics
Find out more about TRAIL: https://www.inf.uni-hamburg.de/en/inst/ab/wtm/research/trail.html
Registration: Not open yet
