Dynamic Modeling and Attitude Control of a Reaction-Wheel-Based Low-Gravity Bipedal Hopper
- URL: http://arxiv.org/abs/2603.10670v1
- Date: Wed, 11 Mar 2026 11:35:21 GMT
- Title: Dynamic Modeling and Attitude Control of a Reaction-Wheel-Based Low-Gravity Bipedal Hopper
- Abstract summary: hopping locomotion offers high energy efficiency but is prone to mid-flight attitude instability.<n>This paper presents an underactuated bipedal hopping robot that employs an internal reaction wheel to regulate body posture.<n>The proposed framework is evaluated in MuJoCo-based simulations under lunar gravity conditions.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Planetary bodies characterized by low gravitational acceleration, such as the Moon and near-Earth asteroids, impose unique locomotion constraints due to diminished contact forces and extended airborne intervals. Among traversal strategies, hopping locomotion offers high energy efficiency but is prone to mid-flight attitude instability caused by asymmetric thrust generation and uneven terrain interactions. This paper presents an underactuated bipedal hopping robot that employs an internal reaction wheel to regulate body posture during the ballistic flight phase. The system is modeled as a gyrostat, enabling analysis of the dynamic coupling between torso rotation and reaction wheel momentum. The locomotion cycle comprises three phases: a leg-driven propulsive jump, mid-air attitude stabilization via an active momentum exchange controller, and a shock-absorbing landing. A reduced-order model is developed to capture the critical coupling between torso rotation and reaction wheel dynamics. The proposed framework is evaluated in MuJoCo-based simulations under lunar gravity conditions (g = 1.625 m/s^2). Results demonstrate that activation of the reaction wheel controller reduces peak mid-air angular deviation by more than 65% and constrains landing attitude error to within 3.5 degrees at touchdown. Additionally, actuator saturation per hop cycle is reduced, ensuring sufficient control authority. Overall, the approach significantly mitigates in-flight attitude excursions and enables consistent upright landings, providing a practical and control-efficient solution for locomotion on irregular extraterrestrial terrains.
Related papers
- Propeller-Assisted Robust 3D Hopping Robot with Hierarchical Force Allocation [17.88282783778973]
Pro-OMEGA2, a propeller-assisted 3D monopedal hopping robot, is presented.<n>Propeller assistance provides a promising solution, but it requires careful coordination of leg-generated contact forces and propeller thrusts across stance and flight.<n> experiments in indoor and outdoor scenarios demonstrate sustained 3D hopping.
arXiv Detail & Related papers (2026-06-06T14:16:37Z) - Learning All-Terrain Locomotion for a Planetary Rover with Actively Articulated Suspension [0.9612340765846284]
ERNEST is a four-wheeled planetary rover concept equipped with a two-degree-of-freedom Active Gimbal Suspension.<n>A single neural network controller is trained to track a desired path across challenging terrain.
arXiv Detail & Related papers (2026-06-05T00:20:50Z) - When Rolling Gets Weird: A Curved-Link Tensegrity Robot for Non-Intuitive Behavior [0.6372261626436676]
This research presents a solution with a semi-circular, curved-link tensegrity robot.<n>The robot strikes a balance between efficient rolling locomotion and controlled stability, enabled by discontinuities at the arc endpoints.<n>A preliminary impact test highlights the tensegrity structure's inherent shock absorption capabilities and conformability.
arXiv Detail & Related papers (2026-03-17T13:30:33Z) - Dual Quaternion Based Contact Modeling for Fast and Smooth Collision Recovery of Quadrotors [11.70412524968217]
This letter presents a dual quaternion reset map that resolves rigid-body impacts directly on the SE(3) manifold.<n>A hybrid recovery controller is designed that couples linear and angular momentum to ensure strict energy dissipation across impacts.<n>High-fidelity MuJoCo simulations validate the controller's response to complex contact dynamics.
arXiv Detail & Related papers (2026-03-16T01:10:04Z) - Bumper Drone: Elastic Morphology Design for Aerial Physical Interaction [6.865889671553905]
We present a drone platform with elastic horns that enables touch-and-go manoeuvres.<n>We show that the elastic horn can absorb impact energy while maintaining vehicle stability.<n>In addition to intermittent contact, the platform equipped with elastic horns also demonstrates stable, sustained contact with static objects.
arXiv Detail & Related papers (2026-02-21T22:44:40Z) - Geometric Inverse Flight Dynamics on SO(3) and Application to Tethered Fixed-Wing Aircraft [5.021944882278981]
We present a robotics-oriented, coordinate-free formulation of inverse flight dynamics for fixed-wing aircraft.<n>We derive a closed-form trajectory-to-input map yielding the attitude, angular velocity, and thrust-angle-of-attack pair.
arXiv Detail & Related papers (2026-02-19T08:26:17Z) - 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) - HUSKY: Humanoid Skateboarding System via Physics-Aware Whole-Body Control [67.58927286226925]
We propose a learning-based framework that integrates humanoid-skateboard system modeling and physics-aware whole-body control.<n>Experiments on the Unitree G1 humanoid platform demonstrate that our framework enables stable and agile maneuvering on skateboards in real-world scenarios.
arXiv Detail & Related papers (2026-02-03T07:18:01Z) - Tilt-Ropter: A Novel Hybrid Aerial and Terrestrial Vehicle with Tilt Rotors and Passive Wheels [13.687917750845303]
We present Tilt-Ropter, a novel hybrid aerial-terrestrial vehicle (HATV)<n>The fully actuated design of Tilt-Ropter enables decoupled force and torque control.<n>Results show a 92.8% reduction in power consumption during ground locomotion.
arXiv Detail & Related papers (2026-02-02T06:15:33Z) - Gait-Adaptive Perceptive Humanoid Locomotion with Real-Time Under-Base Terrain Reconstruction [86.53248703859718]
We introduce a perceptive locomotion framework that merges terrain sensing, gait regulation, and whole-body control into a single reinforcement learning policy.<n>Experiments conducted on a 31-DoF, 1.65 m humanoid robot demonstrate robust locomotion in both simulation and real-world settings.
arXiv Detail & Related papers (2025-12-08T11:42:41Z) - RobotDancing: Residual-Action Reinforcement Learning Enables Robust Long-Horizon Humanoid Motion Tracking [50.200035833530876]
RobotDancing is a simple, scalable framework that predicts residual joint targets to explicitly correct dynamics discrepancies.<n>It can track multi-minute, high-energy behaviors (jumps, spins, cartwheels) and deploys zero-shot to hardware with high motion tracking quality.
arXiv Detail & Related papers (2025-09-25T03:30:34Z) - Improving Human Motion Plausibility with Body Momentum [49.636235399261494]
Many studies decompose human motion into local motion in a frame attached to the root joint and global motion of the root joint in the world frame.<n>We propose using whole-body linear and angular momentum as a constraint to link local motion with global movement.<n>We introduce a new loss term that enforces consistency between the generated momentum profiles and those observed in ground-truth data.
arXiv Detail & Related papers (2025-09-11T14:34:32Z) - Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning [54.26816599309778]
We propose a novel whole-body locomotion algorithm based on dynamic balance and Reinforcement Learning (RL)<n> Specifically, we introduce a dynamic balance mechanism by leveraging an extended measure of Zero-Moment Point (ZMP)-driven rewards and task-driven rewards in a whole-body actor-critic framework.<n> Experiments conducted on a full-sized Unitree H1-2 robot verify the ability of our method to maintain balance on extremely narrow terrains.
arXiv Detail & Related papers (2025-02-24T14:53:45Z) - Autonomous Control of a Novel Closed Chain Five Bar Active Suspension via Deep Reinforcement Learning [0.6456676618238324]
This paper deals with an active suspension system focused on chassis stabilisation.
SAC was applied along with Proportional Integral Derivative (PID) control to stabilise the chassis.
The model uses the rover's distance from surrounding obstacles, the height of the obstacle, and the chassis' orientation to actuate the control links of the suspension accurately.
arXiv Detail & Related papers (2024-06-27T05:27:39Z) - From Flies to Robots: Inverted Landing in Small Quadcopters with Dynamic
Perching [15.57055572401334]
Inverted landing is a routine behavior among a number of animal fliers.
We develop a control policy general to arbitrary ceiling-approach conditions.
We successfully achieved a range of robust inverted-landing behaviors in small quadcopters.
arXiv Detail & Related papers (2024-02-29T21:09:08Z) - 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.