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

202 citations · 362 across the 46 of their papers we have counts for

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Showing cs.ROShow all

50 papers · 1 filter

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.RO20262 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…