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Sihao Sun

10 accepted papers

2026

Global End-Effector Pose Control of an Underactuated Aerial Manipulator Via Reinforcement Learning

ICRA 2026poster

Aerial manipulators, which combine robotic arms with multi-rotor drones, face strict constraints on arm weight and mechanical complexity. In this work, we study a lightweight 2-degree-of-freedom (DoF) arm mounted on a quadrotor via a differential mechanism, capable of full six-DoF end-effector pose …

2025

Decentralized Aerial Manipulation of a Cable-Suspended Load Using Multi-Agent Reinforcement Learning

CoRL 2025poster

This paper presents the first decentralized method to enable real-world 6-DoF manipulation of a cable-suspended load using a team of Micro-Aerial Vehicles (MAVs). Our method leverages multi-agent reinforcement learning (MARL) to train an outer-loop control policy for each MAV. Unlike state-of-the-ar…

Cited by 0SourceScholar
2025

DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models

ICRA 2025

An inherent fragility of quadrotor systems stems from model inaccuracies and external disturbances. These factors hinder performance and compromise the stability of the system, making precise control challenging. Existing model-based approaches either make deterministic assumptions, utilize Gaussian

Cited by 11SourceScholar
2022

Perception-Aware Perching on Powerlines With Multirotors

RA-L 2022

Multirotor aerial robots are becoming widely used for the inspection of powerlines. To enable continuous, robust inspection without human intervention, the robots must be able to perch on the powerlines to recharge their batteries. Highly versatile perching capabilities are necessary to adapt to the

Cited by 24SourcecodeScholar
2022

Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors

RA-L 2022

Agile quadrotor flight in challenging environments has the potential to revolutionize shipping, transportation, and search and rescue applications. Nonlinear model predictive control (NMPC) has recently shown promising results for agile quadrotor control, but relies on highly accurate models for max

Cited by 157SourceScholar
2021

Autonomous Quadrotor Flight Despite Rotor Failure With Onboard Vision Sensors: Frames vs. Events

RA-L 2021

Fault-tolerant control is crucial for safety-critical systems, such as quadrotors. State-of-art flight controllers can stabilize and control a quadrotor even when subjected to the complete loss of a rotor. However, these methods rely on external sensors, such as GPS or motion capture systems, for st

Cited by 79SourcecodeScholar
2020

Upset Recovery Control for Quadrotors Subjected to a Complete Rotor Failure from Large Initial Disturbances

ICRA 2020poster

This study has developed a fault-tolerant controller that is able to recover a quadrotor from arbitrary initial orientations and angular velocities, despite the complete failure of a rotor. This cascaded control method includes a position/altitude controller, an almost-global convergence attitude co…

Cited by 18SourceScholar
2019

Aerodynamic Model Identification of a Quadrotor Subjected to Rotor Failures in the High-Speed Flight Regime

RA-L 2019

This letter presents a high-fidelity aerodynamic model of a quadrotor in the high-speed flight, with the normal configuration, or subjected to rotor failures. A novel experimental setup, data processing, and model identification procedure are developed. The main idea is that by first establishing th

Cited by 16SourceScholar