103 citations · 847 across the 60 of their papers we have counts for
9 papers · 1 filter
Time-Efficient Iterative Learning Planning for Safety-Critical Dynamic Obstacle Avoidance
Zhiyi Chen, Shuli Lv, Chen Min +3
Autonomous mobile robots require timeefficient planning and safety-critical dynamic obstacle avoidance under constrained onboard computation. While Iterative Learning Planning (ILP…
An Open Panoramic Aerial Robot: Airframe-Integrated Multi-Fisheye Sensing, Onboard ERP Formation, and Field Evaluation
Dun Dai, Ze Lu, Cheng He +2
We present an open panoramic aerial robot with four synchronized fisheye cameras integrated into a carbon-fiber airframe and an onboard NVIDIA Jetson Orin NX. The robot outputs cal…
VIP: Variation-based Iterative-learning Planning for Robotic Navigation
Shuli Lv, Pengda Mao, Chen Min +4
Over the past decade, autonomous robotic systems have been increasingly deployed in applications such as surveying, search and rescue, and last-mile delivery. These applications re…
Stabilization Learning: A Paradigm Transition Bridging Control Theory and Machine Learning
Quan Quan
Stabilization learning is an interdisciplinary paradigm that bridges control theory and machine learning. Its core idea is to enable systems to adjust their policies under perturba…
Energy-Optimal Spatial Iterative Learning within a Virtual Tube
Chen Min, Shuli Lv, Pengda Mao +3
Due to the limited endurance of embedded energy sources such as lithium-polymer (LiPo) batteries, the flight duration and operational range of unmanned aerial vehicles (UAVs) are s…
Learning to Adapt: Reptile-D-Learning for Robust and Efficient Control Under Parametric Uncertainty
Haipeng Cao, Zhaolong Shen, Quan Quan
Learning-based Lyapunov Control (LLC) provides formal stability guarantees for nonlinear systems, but its validity relies heavily on accurate system models. Parameter variations an…
Planar-Sector LOS Guidance for Interception of Agile Targets with Lifting-Wing Quadcopters
Linkai Liu, Kun Yang, Han Zou +4
Autonomous visual interception of agile aerial targets is challenging due to unpredictable target motion, limited sensing, and the strong coupling between target visibility and int…
L-Learning : A Lyapunov-Based Approach Leveraging Lagrangian Mechanics for Efficient and Stable Robot Tracking
Quan Quan, Hao Li
This paper presents L-Learning, a novel data-driven control framework for robotics that integrates Lyapunov stability theory with Lagrangian mechanics to enhance trajectory trackin…
Virtual-Tube-Based Cooperative Transport Control for Multi-UAV Systems in Constrained Environments
Runxiao Liu, Pengda Mao, Xiangli Le +3
This paper proposes a novel control framework for cooperative transportation of cable-suspended loads by multiple unmanned aerial vehicles (UAVs) operating in constrained environme…