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Found 6 papers, 1 papers with code
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
We demonstrate the effectiveness of our module for terrain segmentation.
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances
The dataset is composed of both real and synthetic videos from seven gesture classes, and is intended to support the study of synthetic-to-real domain shift for video-based action recognition.
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Most approaches to deep reinforcement learning (DRL) attempt to solve a single task at a time.
Complex Terrain Navigation via Model Error Prediction
Robot navigation traditionally relies on building an explicit map that is used to plan collision-free trajectories to a desired target.
High-Speed Robot Navigation using Predicted Occupancy Maps
Safe and high-speed navigation is a key enabling capability for real world deployment of robotic systems.
PICO: Primitive Imitation for COntrol
In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control PICO.
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