Thrust Microstepping via Acceleration Feedback in Quadrotor Control for Aerial Grasping of Dynamic Payload
Ashish Kumar, Laxmidhar Behera

TL;DR
This paper introduces a novel thrust microstepping control method for quadrotors that enables precise dynamic payload grasping without relying on system parameters, improving stability and accuracy in challenging environments.
Contribution
The paper presents a new Thrust Microstepping via Acceleration Feedback (TMAF) controller combined with Decoupled Motion Control (DMC) for robust aerial grasping of dynamic payloads.
Findings
TMAF accurately estimates thrust at low loop rates.
TMDC achieves stable flight in adverse conditions.
RMSE below 0.04m in payload grasping tasks.
Abstract
In this work, we propose an end-to-end Thrust Microstepping and Decoupled Control (TMDC) of quadrotors. TMDC focuses on precise off-centered aerial grasping of payloads dynamically, which are attached rigidly to the UAV body via a gripper contrary to the swinging payload. The dynamic payload grasping quickly changes UAV's mass, inertia etc, causing instability while performing a grasping operation in-air. We identify that to handle unknown payload grasping, the role of thrust controller is crucial. Hence, we focus on thrust control without involving system parameters such as mass etc. TMDC is based on our novel Thrust Microstepping via Acceleration Feedback (TMAF) thrust controller and Decoupled Motion Control (DMC). TMAF precisely estimates the desired thrust even at smaller loop rates while DMC decouples the horizontal and vertical motion to counteract disturbances in the case of…
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Taxonomy
TopicsAdvanced Control Systems Design · Adaptive Control of Nonlinear Systems · Fault Detection and Control Systems
