Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
This research investigates how different observation spaces affect robot learning. The authors focus on three main modalities:…
This research investigates how different observation spaces affect robot learning. The authors focus on three main modalities:…
The paper discusses the challenge of training general robotic policies from heterogeneous data for various tasks. Current…
The paper presents a Simple and efficient Motion Prediction baseLine (SIMPL) for autonomous vehicles. SIMPL provides real-time,…
This study is aimed at understanding pedestrian behavior in critical traffic situations to enhance pedestrian safety systems….
The study presents a novel approach to tackle the issues of stability and safety in robotic manipulators….
The researchers propose a new navigation framework called STAGE, which utilizes a two-layered graph representation of the…
This article presents a plugin for the Gazebo simulation platform based on Cosserat rods to model plant…
The study emphasizes the importance of intelligent driving functions in enhancing road safety and comfort, particularly in…
This article reviews the challenges and advancements in the sensor architecture of autonomous racing vehicles, with a…
The paper introduces a new assistance algorithm and interface for robot teleoperation, allowing operators to explicitly communicate…