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09/19/2023
Learning Orbitally Stable Systems for Diagrammatically Teaching
Diagrammatic Teaching is a paradigm for robots to acquire novel skills, ...
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09/16/2023
Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning
Pedestrian trajectory prediction plays an important role in autonomous d...
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09/07/2023
Learning from Demonstration via Probabilistic Diagrammatic Teaching
Learning for Demonstration (LfD) enables robots to acquire new skills by...
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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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08/26/2021
Parallelised Diffeomorphic Sampling-based Motion Planning
We propose Parallelised Diffeomorphic Sampling-based Motion Planning (PD...
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07/09/2021
Probabilistic Trajectory Prediction with Structural Constraints
This work addresses the problem of predicting the motion trajectories of...
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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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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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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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09/05/2019
Occ-Traj120: Occupancy Maps with Associated Trajectories
Trajectory modelling had been the principal research area for understand...
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07/11/2019
