activity
20162024
most citedReal-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments

23 citations · 25 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO202423 cited

Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments

Jianhao Jiao, Ruoyu Geng, Yuanhang Li +7

The creation of a metric-semantic map, which encodes human-prior knowledge, represents a high-level abstraction of environments. However, constructing such a map poses challenges r…

cs.RO2024

Learning Bipedal Walking on a Quadruped Robot via Adversarial Motion Priors

Tianhu Peng, Lingfan Bao, Joseph Humphreys +3

Previous studies have successfully demonstrated agile and robust locomotion in challenging terrains for quadrupedal robots. However, the bipedal locomotion mode for quadruped robot…

cs.CV2024

DVN-SLAM: Dynamic Visual Neural SLAM Based on Local-Global Encoding

Wenhua Wu, Guangming Wang, Ting Deng +5

Recent research on Simultaneous Localization and Mapping (SLAM) based on implicit representation has shown promising results in indoor environments. However, there are still some c…

cs.RO20231 cited

ViT-A*: Legged Robot Path Planning using Vision Transformer A*

Jianwei Liu, Shirui Lyu, Denis Hadjivelichkov +2

Legged robots, particularly quadrupeds, offer promising navigation capabilities, especially in scenarios requiring traversal over diverse terrains and obstacle avoidance. This pape…

cs.RO20231 cited

End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies

Dionis Totsila, Konstantinos Chatzilygeroudis, Denis Hadjivelichkov +3

State-of-the-art sensorimotor learning algorithms offer policies that can often produce unstable behaviors, damaging the robot and/or the environment. Traditional robot learning, o…

cs.RO2022

Robust Contact State Estimation in Humanoid Walking Gaits

Stylianos Piperakis, Michael Maravgakis, Dimitrios Kanoulas +1

In this article, we propose a deep learning framework that provides a unified approach to the problem of leg contact detection in humanoid robot walking gaits. Our formulation acco…