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Recognising Affordances in Predicted Futures to Plan with Consideration of Non-Canonical Affordance Effects [Abstract]
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AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness [Abstract]
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A Multitask and Kernel Approach for Learning to Push Objects with a Target-Parameterized Deep Q-Network [Abstract]
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DRKF: Distilled Rotated Kernel Fusion for Efficient Rotation Invariant Descriptors in Local Feature Matching [Abstract]
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Efficient Q-Learning Over Visit Frequency Maps for Multi-Agent Exploration of Unknown Environments [Abstract]
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Real-Time Trajectory-Based Social Group Detection [Abstract]
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Point2Point : A Framework for Efficient Deep Learning on Hilbert Sorted Point Clouds with Applications in Spatio-Temporal Occupancy Prediction [Abstract]
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Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models [Abstract]
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Active Task Randomization: Learning Robust Skills Via Unsupervised Generation of Diverse and Feasible Tasks [Abstract]
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Robust Self-Supervised Extrinsic Self-Calibration [Abstract]
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Do More with Less: Single-Model, Multi-Goal Architectures for Resource-Constrained Robots [Abstract]
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Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters [Abstract]
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Self-Supervised Category-Level 6D Object Pose Estimation with Optical Flow Consistency [Abstract]