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09/16/2023
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
As autonomous driving technology matures, safety and robustness of its k...
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09/15/2023
MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception
A holistic understanding of object properties across diverse sensory mod...
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06/05/2023
A Study of Situational Reasoning for Traffic Understanding
Intelligent Traffic Monitoring (ITMo) technologies hold the potential fo...
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05/08/2023
Knowledge-enhanced Agents for Interactive Text Games
Communication via natural language is a crucial aspect of intelligence, ...
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04/29/2023
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints
Self-training based on pseudo-labels has emerged as a dominant approach ...
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03/07/2023
Cross-Tool and Cross-Behavior Perceptual Knowledge Transfer for Grounded Object Recognition
Humans learn about objects via interaction and using multiple perception...
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12/21/2022
Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation
Generalisation to unseen contexts remains a challenge for embodied navig...
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12/16/2022
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving
The feasibility of collecting a large amount of expert demonstrations ha...
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12/04/2022
Utilizing Background Knowledge for Robust Reasoning over Traffic Situations
Understanding novel situations in the traffic domain requires an intrica...
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09/14/2022
Transferring Implicit Knowledge of Non-Visual Object Properties Across Heterogeneous Robot Morphologies
Humans leverage multiple sensor modalities when interacting with objects...
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08/26/2022
Coalescing Global and Local Information for Procedural Text Understanding
Procedural text understanding is a challenging language reasoning task t...
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05/21/2022
An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs
Self-supervision based on the information extracted from large knowledge...
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05/05/2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
We present the results of our autonomous racing virtual challenge, based...
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01/17/2022
Generalizable Neuro-symbolic Systems for Commonsense Question Answering
This chapter illustrates how suitable neuro-symbolic models for language...
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10/14/2021
Safety-aware Policy Optimisation for Autonomous Racing
To be viable for safety-critical applications, such as autonomous drivin...
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09/07/2021
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
Commonsense reasoning benchmarks have been largely solved by fine-tuning...
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06/26/2021
Core Challenges in Embodied Vision-Language Planning
Recent advances in the areas of multimodal machine learning and artifici...
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12/19/2020
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection
Conditional text generation has been a challenging task that is yet to s...
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11/30/2020
Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving
Effective feature-extraction is critical to models' contextual understan...
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11/07/2020
Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering
Recent developments in pre-trained neural language modeling have led to ...
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06/10/2020
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information
Understanding the models that characterize the thermal dynamics in a sma...
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03/09/2020
Neuro-symbolic Architectures for Context Understanding
Computational context understanding refers to an agent's ability to fuse...
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03/06/2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Multi-agent trajectory forecasting in autonomous driving requires an age...
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10/30/2019