activity
20232026
collaborators

8 papers

cs.RO2026

Aerial GRIPPER: A Gradient-based Real-time Inverse-game Predictor and Planner

Zeshuai Chen, Meng Wang, Jindou Jia +2

Accurate capture of non-cooperative targets is critical. In an attempt to tackle this intractable challenge, an aerial gripper system integrated with a Gradient-based Real-time Inv…

cs.RO2026

Physics Filtering Favors the Generalization of Robot Learning

Jindou Jia, Shixuan Han, Meng Wang +8

Living organisms exhibit extraordinary adaptability to unseen environments through their intrinsic physical structures and lifelong feedback-driven learning. Endowing robots with c…

cs.RO2026

Unified Meta-Representation and Feedback Calibration for General Disturbance Estimation

Zihan Yang, Jindou Jia, Meng Wang +3

Precise control in modern robotic applications is always an open issue due to unknown time-varying disturbances. Existing meta-learning-based approaches require a shared representa…

cs.RO2026

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning

Kexin Guo, Zihan Yang, Yuhang Liu +2

Real-world physics can only be analytically modeled with a certain level of precision for modern intricate robotic systems. As a result, tracking aggressive trajectories accurately…

eess.SY2025

Accurate Control under Voltage Drop for Rotor Drones

Yuhang Liu, Jindou Jia, Zihan Yang +1

This letter proposes an anti-disturbance control scheme for rotor drones to counteract voltage drop (VD) disturbance caused by voltage drop of the battery, which is a common case f…

cs.LG2024

Feedback Favors the Generalization of Neural ODEs

Jindou Jia, Zihan Yang, Meng Wang +4

The well-known generalization problem hinders the application of artificial neural networks in continuous-time prediction tasks with varying latent dynamics. In sharp contrast, bio…

cs.RO2024

Learning-based Observer for Coupled Disturbance

Jindou Jia, Meng Wang, Zihan Yang +4

Achieving high-precision control for robotic systems is hindered by the low-fidelity dynamical model and external disturbances. Especially, the intricate coupling between internal…

eess.SY2023

Fault Separation Based on An Excitation Operator with Application to a Quadrotor UAV

Sicheng Zhou, Meng Wang, Jindou Jia +4

This paper presents an excitation operator based fault separation architecture for a quadrotor unmanned aerial vehicle (UAV) subject to loss of effectiveness (LoE) faults, actuator…