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Jianing Zhao

7 accepted papers

2025

Adaptive Visual Servoing Control Barrier Function of Robotic Manipulators with Uncalibrated Camera

IROS 2025

This paper investigates the problem of safe visual servoing control of manipulators using an uncalibrated eye-in-hand camera based on control barrier functions (CBFs). Traditional CBFs are defined in the workspace, corresponding to the global coordinates of the base frame. However, when the camera’s

Cited by 0SourceScholar
2025

Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training

AAAI 2025technical

Aerodynamic coefficient prediction is pivotal in aircraft and vehicles' design, performance evaluation, and motion control. Integrating artificial neural networks into aerodynamic coefficient prediction offers a promising alternative to traditional numerical methods burdened by extensive computation…

Cited by 0SourcePDFScholar
2024

How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding

COLING 2024main

Weakly-supervised Phrase Grounding (WPG) is an emerging task of inferring the fine-grained phrase-region matching, while merely leveraging the coarse-grained sentence-image pairs for training. However, existing studies on WPG largely ignore the implicit phrase-region matching relations, which are cr…

2024

Sleep When Everything Looks Fine: Self-Triggered Monitoring for Signal Temporal Logic Tasks

RA-L 2024

Online monitoring is a widely used technique in assessing if the performance of the system satisfies some desired requirements during run-time operation. Existing works on online monitoring usually assume that the monitor can acquire system information periodically at each time instant, which may be

Cited by 8SourcecodeScholar
2023

An effective negotiating agent framework based on deep offline reinforcement learning

UAI 2023poster

Learning is crucial for automated negotiation, and recent years have witnessed a remarkable achievement in application of reinforcement learning (RL) for various negotiation tasks. Conventional RL methods focus generally on learning from active interactions with opposing negotiators. However, collec…

2021

Distributed Rendezvous Control of Networked Uncertain Robotic Systems with Bearing Measurements

ICRA 2021poster

In this paper, the distributed rendezvous control problem of networked uncertain robotic systems with bearing measurements is investigated. The network topology of the multi-robot systems is described by an undirected graph. The dynamics of robots is modeled by Euler-Lagrange equation with unknown i…

Cited by 0SourceScholar