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Jingyi Huang

6 accepted papers

2026

Concurrent Learning With Triangle-Based Cooperative Correction for Multi-Robot Relative Localization and Formation Control

RA-L 2026

This letter presents a framework for cooperative relative localization and formation control of multi-robot systems in GPS-denied environment. First, a concurrent learning-based scheme with sliding-window sampling strategy is developed to exploit historical information, relaxing the strict persisten

Cited by 0SourceScholar
2026

Reliability-Aware LLM Alignment from Inconsistent Human Feedback

ICML 2026poster

Reinforcement Learning from Human Feedback (RLHF) is critical for aligning Large Language Models (LLMs) with human preferences. However, its efficacy is often compromised by the inherent inconsistency and subjectivity of human annotations. Existing preference optimization frameworks, such as Direct …

Cited by 0SourceScholar
2025

Multi-UAV Formation Control with Static and Dynamic Obstacle Avoidance via Reinforcement Learning

IROS 2025

This paper tackles the challenging task of maintaining formation among multiple unmanned aerial vehicles (UAVs) while avoiding both static and dynamic obstacles during directed flight. The complexity of the task arises from its multi-objective nature, the large exploration space, and the sim-to-real

Cited by 7SourceScholar
2022

Variable Stiffness Object Recognition with Bayesian Convolutional Neural Network on a Soft Gripper

IROS 2022poster

From a medical standpoint, detecting the size and shape of hard inclusions hidden in soft three-dimensional objects is of great significance for early detection of cancer through palpation. Soft robots, especially soft grippers, substantially broaden robots' palpation capabilities from soft to hard…

Cited by 2SourceScholar
2021

Monte-Carlo Localization in Underground Parking Lots using Parking Slot Numbers

IROS 2021poster

Autonomous Valet Parking (AVP) in an under- ground garage is an emerging smart vehicle solution that the community believes to be solvable with close-to-market sensors. Absence of GPS signals and a high degree of self-similarity however render global visual localization in such environments a highly…

Cited by 13SourceScholar