Effector-Centric NMPC of Tiltable-Multirotors for Offset-Free Omnidirectional Aerial Manipulation
- URL: http://arxiv.org/abs/2608.17819v1
- Date: Tue, 18 Aug 2026 14:18:48 GMT
- Title: Effector-Centric NMPC of Tiltable-Multirotors for Offset-Free Omnidirectional Aerial Manipulation
- Abstract summary: This work presents a design analysis and a wrench-based control framework for tiltable-multirotors in aerial manipulation.<n>A four-rotor tiltable configuration provides a balance between interference-free propeller sizing and hovering efficiency.<n>We develop an effector-centric nonlinear model predictive control framework that integrates design choices, handling, and disturbance compensation.
- Score: 9.325443556436436
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Aerial manipulation extends robotic operations to previously inaccessible aerial environments. Unlike arm-equipped aerial systems, tiltable-multirotors can directly generate six-degree-of-freedom wrenches through their flight bases, enabling both efficient movement and omnidirectional operation by tilting the thrust direction. This work presents a design analysis and a wrench-based control framework for tiltable-multirotors in aerial manipulation. We show that a four-rotor tiltable configuration provides a balance between interference-free propeller sizing and hovering efficiency across different attitudes, and its null-space redundancy is crucial for traversing singular configurations under physical constraints. We further show that an upward end-effector placement yields a favorable trade-off between geometric clearance and available wrench. To address disturbances, we propose a dual strategy consisting of a modified integral term for model error and an acceleration-based estimator for external wrenches. Building on these insights, we develop an effector-centric nonlinear model predictive control (NMPC) framework that integrates design choices, singularity handling, and disturbance compensation into a unified formulation. The proposed framework runs fully onboard at 100 Hz on a custom-built tiltable-quadrotor. Real-world experiments, including a 90-deg step cartwheel rotation, whiteboard pushing, and continuous 360-deg valve turning, demonstrate the feasibility of wrench-based omnidirectional manipulation with singularity traversal on a one-DoF-per-arm tiltable-quadrotor.
Related papers
- FLOAT Drone for Physical Interaction: Lateral Airflow Reduction, Wrench Modeling, and Adaptive Control [4.5429661185092085]
This article presents FLOAT Drone, a fully actuated UAV with servo-driven control surfaces for close-proximity physical interaction.<n>A force-matched computational fluid dynamics (CFD) comparison with a tilted-rotor alternative quantifies the reduction in target-facing lateral airflow.
arXiv Detail & Related papers (2026-07-05T12:14:43Z) - MorphQuad: Morphable Quadrotor for Superhuman Maneuverability, Manipulation, and Resiliency [0.0]
Infrastructure maintenance, contact-based inspection, and emergency response can benefit from aerial vehicles that act as a flying human hand.<n>MMR: maneuverability to fly in arbitrary orientations to reach remote and tight locations.<n>We present MorphQuad: a morphable quadrotor that enjoys MMR.
arXiv Detail & Related papers (2026-07-02T21:01:26Z) - A Multimodal Tiltwing Framework for Bioinspired Aerial Robots [0.7734726150561088]
Tailless flapping-wing micro-aerial vehicles (FWMAVs) mimic the impressive flight performance of hummingbirds.<n>Existing designs are still limited and purpose-built with a restricted flight envelope and poor endurance.<n>We propose an adaptable tiltwing framework enabling bioinspired aerial robots to switch between hovering flight, high-speed directional flight, and energy-efficient flight.
arXiv Detail & Related papers (2026-06-20T13:59:36Z) - HoLoArm: Deformable Arms for Collision-Tolerant Quadrotor Flight [46.42648821424623]
We present HoLoArm, a quadrotor with compliant arms inspired by the nodus structure of dragonfly wings.<n>Results demonstrate that HoLoArm can passively deform in any direction, including axial one, and recover within 0.3-0.6 s depending on the direction and level of the impact.<n>Drone can survive collisions at speeds up to 7.6 m/s and carry a 540 g payload while maintaining stable flight.
arXiv Detail & Related papers (2026-05-25T12:37:18Z) - Aero-World: Action-Conditioned Aerial Video Generation from Inertial Controls [57.166020875486474]
We propose textbfAero-World, a method for converting a pretrained image-to-video diffusion model into a controllable aerial video generator.<n>A frozen latent-space Physics Probe, trained independently on real video--IMU pairs, provides differentiable inertial-consistency supervision during LoRA finetuning.<n>On AeroBench, Aero-World improves mean AAS from 57.7 to 63.6 over action-only finetuning and gives a stronger quality-control trade-off than AirScape.
arXiv Detail & Related papers (2026-05-19T12:02:17Z) - Shape Control of a Planar Hyper-Redundant Robot via Hybrid Kinematics-Informed and Learning-based Approach [42.55947704321053]
Hyper-redundant robots offer high dexterity, making them good at operating in confined and unstructured environments.<n>To extend the reachable workspace, we built a multi-segment flexible rack actuated planar robot.<n>We propose a hybrid kinematics-informed and learning-based shape control method, named SpatioCoupledNet.
arXiv Detail & Related papers (2026-03-11T04:35:06Z) - Safe Whole-Body Loco-Manipulation via Combined Model and Learning-based Control [46.47619556874003]
We propose a whole-body controller that combines a model-based admittance control for the manipulator arm with a Reinforcement Learning policy for legged locomotion.<n>The admittance controller maps external wrenches--such as those applied by a human during physical interaction--into desired end-effector velocities, allowing for compliant behavior.<n>We validate our approach in both simulation and hardware using the Unitree Go2 quadruped robot with a 6-DoF arm and wrist-mounted 6-DoF Force/Torque sensor.
arXiv Detail & Related papers (2026-03-02T22:31:12Z) - Tilt-X: Enabling Compliant Aerial Manipulation through a Tiltable-Extensible Continuum Manipulator [35.18016233072556]
Continuum arm aerial manipulation systems offer lightweight, dexterous, and compliant interaction opportunities.<n>Existing designs allow manipulation only below the UAV which restricts their deployability in multiple directions and through clutter.<n>We present Tilt-X, a continuum arm aerial manipulator that integrates a tilting mechanism, a telescopic stage, and a cable-driven continuum section.
arXiv Detail & Related papers (2026-02-27T01:05:58Z) - Learning Agile and Robust Omnidirectional Aerial Motion on Overactuated Tiltable-Quadrotors [15.511018281264674]
This work investigates reinforcement learning for omnidirectional aerial motion control on over-actuated tiltable quadrotors.<n>We present a learning-based control framework that enables efficient acquisition of coordinated rotor-joint behaviors for reaching target poses.
arXiv Detail & Related papers (2026-02-25T05:13:25Z) - A 26-Gram Butterfly-Inspired Robot Achieving Autonomous Tailless Flight [61.21669716392821]
textitAirPulse is a 26-gram butterfly-inspired robot that achieves the first onboard, closed-loop controlled flight for a tailless two-winged platform at this scale.<n>It replicates key biomechanical traits of butterfly flight, utilizing low-aspect-ratio, compliant carbon-fiber-reinforced wings and low-frequency flapping that reproduces characteristic biological body undulations.
arXiv Detail & Related papers (2026-02-06T15:58:50Z) - Learning a Single Near-hover Position Controller for Vastly Different
Quadcopters [56.37274861303324]
This paper proposes an adaptive near-hover position controller for quadcopters.
It can be deployed to quadcopters of very different mass, size and motor constants.
It also shows rapid adaptation to unknown disturbances during runtime.
arXiv Detail & Related papers (2022-09-19T17:55:05Z) - VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait
Representation [78.92147339883137]
We show that it is pivotal in increasing controller robustness by learning a latent space capturing the key stance phases constituting a particular gait.
We demonstrate that specific properties of the drive signal map directly to gait parameters such as cadence, footstep height and full stance duration.
The use of a generative model facilitates the detection and mitigation of disturbances to provide a versatile and robust planning framework.
arXiv Detail & Related papers (2022-05-02T19:49:53Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.