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09/01/2023
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care
Recent advancements in artificial intelligence (AI) have facilitated its...
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08/08/2023
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
Motion planning can be cast as a trajectory optimisation problem where a...
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07/22/2023
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models
The demand for psychological counseling has grown significantly in recen...
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07/20/2023
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis
The Internet of Things (IoT) integrates more than billions of intelligen...
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05/21/2023
Real-time Aerial Detection and Reasoning on Embedded-UAVs
We present a unified pipeline architecture for a real-time detection sys...
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09/12/2022
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding
Simultaneous Localisation and Mapping (SLAM) is one of the fundamental p...
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07/17/2022
Discover Life Skills for Planning with Bandits via Observing and Learning How the World Works
We propose a novel approach for planning agents to compose abstract skil...
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03/04/2022
Water and Sediment Analyse Using Predictive Models
The increasing prevalence of marine pollution during the past few decade...
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03/02/2022
L4KDE: Learning for KinoDynamic Tree Expansion
We present the Learning for KinoDynamic Tree Expansion (L4KDE) method fo...
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11/20/2021
Learning Non-Stationary Time-Series with Dynamic Pattern Extractions
The era of information explosion had prompted the accumulation of a trem...
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10/15/2021
sbp-env: Sampling-based Motion Planners' Testing Environment
Sampling-based motion planners' testing environment (sbp-env) is a full ...
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09/21/2021
Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph
In an environment where a manipulator needs to execute multiple pick-and...
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08/26/2021
Parallelised Diffeomorphic Sampling-based Motion Planning
We propose Parallelised Diffeomorphic Sampling-based Motion Planning (PD...
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07/04/2021
Learning ODEs via Diffeomorphisms for Fast and Robust Integration
Advances in differentiable numerical integrators have enabled the use of...
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03/07/2021
Rapidly-exploring Random Forest: Adaptively Exploits Local Structure with Generalised Multi-Trees Motion Planning
Sampling-based motion planners perform exceptionally well in robotic app...
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11/12/2020
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements
Critical for the coexistence of humans and robots in dynamic environment...
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10/25/2020
Robust Hierarchical Planning with Policy Delegation
We propose a novel framework and algorithm for hierarchical planning bas...
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10/21/2020
Learning to Plan Optimally with Flow-based Motion Planner
Sampling-based motion planning is the predominant paradigm in many real-...
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09/25/2019
OCTNet: Trajectory Generation in New Environments from Past Experiences
Being able to safely operate for extended periods of time in dynamic env...
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09/08/2019
Local Sampling-based Planning with Sequential Bayesian Updates
Sampling-based planners are the predominant motion planning paradigm for...
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09/05/2019
Occ-Traj120: Occupancy Maps with Associated Trajectories
Trajectory modelling had been the principal research area for understand...
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10/08/2018