← Search

Kaidi Wang

5 accepted papers

2026

Optimal Design of Integrated Aerial Platforms with Passive Joints

ICRA 2026poster

The Integrated Aerial Platform (IAP) uses multiple quadrotor sub-vehicles, acting as independent thrust generators, connected to a central platform via passive joints. This setup allows the sub-vehicles to collectively apply forces and torques to the central platform, achieving full six-degree-of-fr…

Cited by 0SourceScholar
2025

A Noisy Label Filter based on GMM Binary Classification for Speaker Verification

ICASSP 2025accepted

Noisy labels are inevitable in real-world datasets. These noisy labels cause deep neural networks to gradient descent towards the wrong direction, leading to performance degradation. In this paper, We propose an efficient method for filtering out noisy labels during training. We calculate an embeddi…

Cited by 3SourceScholar
2025

SlimSpeech: Lightweight and Efficient Text-to-Speech with Slim Rectified Flow

ICASSP 2025accepted

Recently, flow matching based speech synthesis has significantly enhanced the quality of synthesized speech while reducing the number of inference steps. In this paper, we introduce SlimSpeech, a lightweight and efficient speech synthesis system based on rectified flow. We have built upon the existi…

Cited by 4SourceScholar
2024

Modeling and Control of PADUAV: a Passively Articulated Dual UAVs Platform for Aerial Manipulation*

ICRA 2024poster

In this paper, we introduce PADUAV, a novel 5-DOF aerial platform designed to overcome the limitations of traditional tiltrotor vehicles. PADUAV features a unique mechanical design that incorporates two off-the-shelf quadrotors passively articulated to a rigid frame. This innovation enables free pit…

Cited by 2SourceScholar
2024

Multi-Agent Visual-Inertial Localization for Integrated Aerial Systems With Loose Fusion of Odometry and Kinematics

RA-L 2024

Reliably and efficiently estimating the relative pose and global localization of robots in a common reference for Integrated Aerial Platforms (IAPs) is a challenging problem. Unlike unmanned aerial vehicle (UAV) swarms, where the agent individual is able to move freely, IAPs connect UAV agents with

Cited by 4SourceScholar