62 citations · 149 across the 19 of their papers we have counts for
4 papers · 1 filter
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu, Kuo Zhang, Davide Tateo +4
Safety is a crucial property of every robotic platform: any control policy should always comply with actuator limits and avoid collisions with the environment and humans. In reinfo…
Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping
Davide Tateo, Davide Antonio Cucci, Matteo Matteucci +1
Efficient object level representation for monocular semantic simultaneous localization and mapping (SLAM) still lacks a widely accepted solution. In this paper, we propose the use…
Dimensionality Reduction and Prioritized Exploration for Policy Search
Marius Memmel, Puze Liu, Davide Tateo +1
Black-box policy optimization is a class of reinforcement learning algorithms that explores and updates the policies at the parameter level. This class of algorithms is widely appl…
Regularized Deep Signed Distance Fields for Reactive Motion Generation
Puze Liu, Kuo Zhang, Davide Tateo +3
Autonomous robots should operate in real-world dynamic environments and collaborate with humans in tight spaces. A key component for allowing robots to leave structured lab and man…