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Found 6 papers, 3 papers with code
DVN-SLAM: Dynamic Visual Neural SLAM Based on Local-Global Encoding
Recent research on Simultaneous Localization and Mapping (SLAM) based on implicit representation has shown promising results in indoor environments.
Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory
To address this, we propose a new approach to apply verification methods from control theory to learned value functions.
End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies
In this work, we bridge the gap between generic neural network policies and dynamical system-based policies, and we introduce Autonomous Neural Dynamic Policies (ANDPs) that: (a) are based on autonomous dynamical systems, (b) always produce asymptotically stable behaviors, and (c) are more flexible than traditional stable dynamical system-based policies.
One-Shot Transfer of Affordance Regions? AffCorrs!
In this work, we tackle one-shot visual search of object parts.
Robust Contact State Estimation in Humanoid Walking Gaits
The framework is quantitatively and qualitatively assessed in simulation via the use of ground-truth contact data and is contrasted against state of-the-art methods with an ATLAS, a NAO, and a TALOS humanoid robot.
Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks
We present a new method to translate videos to commands for robotic manipulation using Deep Recurrent Neural Networks (RNN).
