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STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent
Free accessArXiv | 2023| -
Graph-Theoretic B\'ezier Curve Optimization over Safe Corridors for Safe and Smooth Motion Planning
Free accessArXiv | 2023| -
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty
Free accessArXiv | 2023| -
Towards High Efficient Long-horizon Planning with Expert-guided Motion-encoding Tree Search
Free accessArXiv | 2023| -
Robotic Handling of Compliant Food Objects by Robust Learning from Demonstration
Free accessArXiv | 2023| -
Vision-based Situational Graphs Generating Optimizable 3D Scene Representations
Free accessArXiv | 2023| -
MonoForce: Self-supervised Learning of Physics-aware Model for Predicting Robot-terrain Interaction
Free accessArXiv | 2023| -
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques
Free accessArXiv | 2023| -
In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks
Free accessArXiv | 2023| -
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs
Free accessArXiv | 2023|
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