activity
20192025
most citedMulti-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation

129 citations · 446 across the 28 of their papers we have counts for

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Showing cs.ROShow all

27 papers · 1 filter

cs.RO2025

Follow-Me in Micro-Mobility with End-to-End Imitation Learning

Sahar Salimpour, Iacopo Catalano, Tomi Westerlund +2

Autonomous micro-mobility platforms face challenges from the perspective of the typical deployment environment: large indoor spaces or urban areas that are potentially crowded and…

cs.RO2025

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery

Sier Ha, Honghao Du, Xianjia Yu +1

Recent advancements in lidar technology have led to improved point cloud resolution as well as the generation of 360 degrees, low-resolution images by encoding depth, reflectivity,…

cs.RO20252 cited

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots

Sahar Salimpour, Jorge Peña-Queralta, Diego Paez-Granados +2

Unprecedented agility and dexterous manipulation have been demonstrated with controllers based on deep reinforcement learning (RL), with a significant impact on legged and humanoid…

cs.RO2024

Analysis of Deep Learning-Based Colorization and Super-Resolution Techniques for Lidar Imagery

Sier Ha, Honghao Du, Xianjia Yu +2

Modern lidar systems can produce not only dense point clouds but also 360 degrees low-resolution images. This advancement facilitates the application of deep learning (DL) techniqu…

cs.RO2024

Benchmarking ML Approaches to UWB-Based Range-Only Posture Recognition for Human Robot-Interaction

Salma Salimi, Sahar Salimpour, Jorge Peña Queralta +2

Human pose estimation involves detecting and tracking the positions of various body parts using input data from sources such as images, videos, or motion and inertial sensors. This…

cs.RO20221 cited

Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness

Jiaqiang Zhang, Farhad Keramat, Xianjia Yu +3

Robotic systems are more connected, networked, and distributed than ever. New architectures that comply with the \textit{de facto} robotics middleware standard, ROS\,2, have recent…