activity
20172026
most citedFast, Autonomous Flight in GPS-Denied and Cluttered Environments

202 citations · 732 across the 72 of their papers we have counts for

collaborators
Showing 2026Show all

13 papers · 1 filter

cs.RO2026

HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second

Jonas Eschmann, Giuseppe Loianno

We present HyperDrone, an extremely fast quadrotor simulator focused on high-performance batch rendering that is more than 20x faster than existing state-of-the-art batch quadrotor…

cs.RO2026

M3GD: Multi-Modal Multi-View Geometric Diffusion for Camera--LiDAR Novel View Synthesis

Yang Zhou, Jiuhong Xiao, Shizhao Ye +3

Robotic novel view synthesis (NVS) must recover both visual appearance and metric 3D structure, yet most generative NVS methods rely only on images, overlooking LiDAR, a complement…

cs.RO2026

World-Action Models for Robot Learning and Control: A Survey

Zuxing Lu, Hongjia Zhai, Guanzhi Wang +13

Robots operating in open environments act under partial observability, physical constraints, and dynamic task contexts. Beyond mapping observations and language instructions to act…

cs.RO2026

Continual Field-Adaptive Models (CFAMs) for Post-Deployment Physical AI

Amarjot Singh, Tanmay R. Pancholi, Jainam Kothari +7

Unattended interactive autonomy - machines that step into danger in place of humans and complete tasks with human tools - remains a missing capability in mission-critical operation…

cs.RO2026

Nonlinear Model Predictive Control for Trajectory Tracking of Differentially Flat Fixed-Wing Aerial Systems

Nishanth Bobbili, Pratyaksh Rao, Luca Morando +2

Planning and control of fixed-wing Unmanned Aerial Vehicles (UAVs) are challenging due to nonlinear dynamics, aerodynamic limits, and environmental disturbances. Differential flatn…

cs.RO2026

Minimum Time Dubins Airplane Paths with Asymmetric Climb Rates

Jaeyoung Lim, Giuseppe Loianno

Dubins airplane paths approximate the limited maneuverability of fixed-wing vehicles with minimum curvature and climb rate constraints. However, the symmetric climb rate constraint…

cs.RO2026

SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors

Pratyaksh Rao, Wancong Zhang, Randall Balestriero +2

Accurate dynamics models are critical for informed decision-making in robotic systems, particularly for agile aerial vehicles operating under uncertainty. Neural network dynamics m…

cs.AI2026

Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control

Zihao Guo, Jianing Zhao, Ling Li +3

Multi-agent systems are widely used in safety-critical applications that require coordinated behavior under strict safety constraints. Existing approaches face a fundamental trade-…

cs.RO2026★ 2 cited

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…

cs.RO2026

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…

cs.RO2026

Wind-Aware Optimal Trajectory Planning for Efficient Gliding of Fixed-Wing Aerial Systems

Luca Morando, Nishanth Bobbili, Giuseppe Loianno

Gliding offers small fixed-wing UAVs extended endurance and silent operation but requires accurate energy management, especially under wind disturbances and obstacle constraints. T…

cs.RO2026

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…

cs.RO2026

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…