108 citations · 137 across the 12 of their papers we have counts for
12 papers
HoLoArm: Deformable Arms for Collision-Tolerant Quadrotor Flight
Quang Ngoc Pham, Jonas Eschmann, Yang Zhou +3
The increasing use of drones in human-centric applications highlights the need for designs that can survive collisions and recover rapidly, minimizing risks to both humans and the…
Flying Together: Human-Guided Immersive Shared Control for Aerial Robot Teams in Unknown Environments
Lou De Bel-Air, Luca Morando, Ruitao Chen +7
While autonomous multi-robots can achieve safe and coordinated navigation, they often struggle to adapt to unforeseen conditions and to capture operator-driven objectives in unstru…
Graph Neural Planning and Predictive Control for Multi-Robot Communication-Constrained Unlabeled Motion Planning
Manohari Goarin, Yang Zhou, Giuseppe Loianno
The multi-robot unlabeled motion planning problem of concurrently assigning robots to goals and generating safe trajectories is central in many collaborative tasks. Recent Graph Ne…
NeuroMesh: A Unified Neural Inference Framework for Decentralized Multi-Robot Collaboration
Yang Zhou, Yash Shetye, Long Quang +8
Deploying learned multi-robot models on heterogeneous robots remains challenging due to hardware heterogeneity, communication constraints, and the lack of a unified execution stack…
Adaptive Keyframe Selection for Scalable 3D Scene Reconstruction in Dynamic Environments
Raman Jha, Yang Zhou, Giuseppe Loianno
In this paper, we propose an adaptive keyframe selection method for improved 3D scene reconstruction in dynamic environments. The proposed method integrates two complementary modul…
Query-Based Adaptive Aggregation for Multi-Dataset Joint Training Toward Universal Visual Place Recognition
Jiuhong Xiao, Yang Zhou, Giuseppe Loianno
Deep learning methods for Visual Place Recognition (VPR) have advanced significantly, largely driven by large-scale datasets. However, most existing approaches are trained on a sin…
CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments
Yang Zhou, Long Quang, Carlos Nieto-Granda +1
In the past decade, although single-robot perception has made significant advancements, the exploration of multi-robot collaborative perception remains largely unexplored. This inv…
A Survey on Multimodal Large Language Models for Autonomous Driving
Can Cui, Yunsheng Ma, Xu Cao +18
With the emergence of Large Language Models (LLMs) and Vision Foundation Models (VFMs), multimodal AI systems benefiting from large models have the potential to equally perceive th…
Visual Environment Assessment for Safe Autonomous Quadrotor Landing
Mattia Secchiero, Nishanth Bobbili, Yang Zhou +1
Autonomous identification and evaluation of safe landing zones are of paramount importance for ensuring the safety and effectiveness of aerial robots in the event of system failure…
PENet: A Joint Panoptic Edge Detection Network
Yang Zhou, Giuseppe Loianno
In recent years, compact and efficient scene understanding representations have gained popularity in increasing situational awareness and autonomy of robotic systems. In this work,…
Vision-based Relative Detection and Tracking for Teams of Micro Aerial Vehicles
Rundong Ge, Moonyoung Lee, Vivek Radhakrishnan +3
In this paper, we address the vision-based detection and tracking problems of multiple aerial vehicles using a single camera and Inertial Measurement Unit (IMU) as well as the corr…
Multi-Robot Collaborative Perception with Graph Neural Networks
Yang Zhou, Jiuhong Xiao, Yue Zhou +1
Multi-robot systems such as swarms of aerial robots are naturally suited to offer additional flexibility, resilience, and robustness in several tasks compared to a single robot by…