TriphiBot: A Triphibious Robot Combining FOC-based Propulsion with Eccentric Design
- URL: http://arxiv.org/abs/2602.01385v1
- Date: Sun, 01 Feb 2026 18:38:22 GMT
- Title: TriphiBot: A Triphibious Robot Combining FOC-based Propulsion with Eccentric Design
- Abstract summary: Triphibious robots capable of multi-domain motion are promising to handle complex tasks across diverse environments.<n>Existing designs primarily focus on dual-mode platforms, and some designs suffer from high mechanical complexity or low propulsion efficiency.<n>We propose a novel triphibious robot capable of aerial, terrestrial, and aquatic motion, by a minimalist design combining a quadcopter structure with two passive wheels.
- Score: 9.930529399697557
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Triphibious robots capable of multi-domain motion and cross-domain transitions are promising to handle complex tasks across diverse environments. However, existing designs primarily focus on dual-mode platforms, and some designs suffer from high mechanical complexity or low propulsion efficiency, which limits their application. In this paper, we propose a novel triphibious robot capable of aerial, terrestrial, and aquatic motion, by a minimalist design combining a quadcopter structure with two passive wheels, without extra actuators. To address inefficiency of ground-support motion (moving on land/seabed) for quadcopter based designs, we introduce an eccentric Center of Gravity (CoG) design that inherently aligns thrust with motion, enhancing efficiency without specialized mechanical transformation designs. Furthermore, to address the drastic differences in motion control caused by different fluids (air and water), we develop a unified propulsion system based on Field-Oriented Control (FOC). This method resolves torque matching issues and enables precise, rapid bidirectional thrust across different mediums. Grounded in the perspective of living condition and ground support, we analyse the robot's dynamics and propose a Hybrid Nonlinear Model Predictive Control (HNMPC)-PID control system to ensure stable multi-domain motion and seamless transitions. Experimental results validate the robot's multi-domain motion and cross-mode transition capability, along with the efficiency and adaptability of the proposed propulsion system.
Related papers
- DASH Robot: Minimalistic Design and Optimal Aerial-Terrestrial Locomotion via Contact-Implicit Control [3.07869141026886]
We present a novel and minimalistic design of an aerial-terrestrial robot DASH: Ducted Aerial Spring Hopper.<n>The goal is to enable both aerial and ground locomotion capabilities on a unified mobile robot.<n>We successfully validated the design and control of DASH through a range of tasks.
arXiv Detail & Related papers (2026-07-20T21:39:25Z) - Motion Design for Grasp-Based Dynamic Locomotion in Microgravity [5.301721673195314]
This paper presents insights for grasp-based dynamic locomotion with multi-limbed robotic systems in microgravity.<n>The investigated design parameters include gait pattern, stride length, locomotion speed, and nominal posture.<n>The results demonstrate that enlarging the feasible contact wrench space and attenuating impulsive whole-body dynamics improve locomotion performance.
arXiv Detail & Related papers (2026-05-20T20:06:01Z) - 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) - Wukong-Omni: Design, Modeling and Control of a Multi-mode Robot for Air, Land, and Underwater Exploration with All-in-One Propulsion Unit [17.482006144612303]
Wukong- Omni is a novel multimode robot capable of operating across land, air, and underwater.<n>System is enabled by an innovative mechanical design that allows motor reuse and improves thrust generation.
arXiv Detail & Related papers (2026-03-03T05:00:56Z) - Agile asymmetric multi-legged locomotion: contact planning via geometric mechanics and spin model duality [15.47009589379934]
We develop a principled framework for discovering new control structures in multi-legged locomotion.<n>We use geometric mechanics to reduce contact-rich locomotion planning to a graph optimization problem.<n>We identify an asymmetric locomotion strategy for a hexapod robot that achieves a forward speed of 0.61 body lengths per cycle.
arXiv Detail & Related papers (2026-02-09T19:13:14Z) - 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) - Wake Vectoring for Efficient Morphing Flight [1.6799377888527687]
We introduce a passive wake vectoring mechanism that recovers lost thrust during morphing.<n>This solution achieves up to a 40% recovery of vertical thrust in configurations where no useful thrust would otherwise be produced.<n>Our findings highlight a new direction for morphing aerial robot design, where passive aerodynamic structures, inspired by thrust vectoring in rockets and aircraft, enable efficient, agile flight without added mechanical complexity.
arXiv Detail & Related papers (2025-12-04T19:31:17Z) - PALo: Learning Posture-Aware Locomotion for Quadruped Robots [29.582249837902427]
We propose an end-to-end deep reinforcement learning framework for posture-aware locomotion named PALo.<n> PALo handles simultaneous linear and angular velocity tracking and real-time adjustments of body height, pitch, and roll angles.<n> PALo achieves agile posture-aware locomotion control in simulated environments and successfully transfers to real-world settings without fine-tuning.
arXiv Detail & Related papers (2025-03-06T14:13:59Z) - FLOAT Drone: A Fully-actuated Coaxial Aerial Robot for Close-Proximity Operations [4.5231181198147485]
We present FLOAT Drone (FuLly-actuated cO Aerial roboT), a novel fully-actuated UAV featuring two key structural innovations.<n>By integrating control surfaces into fully-actuated systems for the first time, we significantly suppress lateral airflow disturbances during operations.<n>Furthermore, a coaxial dual-rotor configuration enables a compact size while maintaining high hovering efficiency.
arXiv Detail & Related papers (2025-03-02T08:30:30Z) - Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots [50.02055068660255]
Navigating urban environments poses unique challenges for robots, necessitating innovative solutions for locomotion and navigation.
This work introduces a fully integrated system comprising adaptive locomotion control, mobility-aware local navigation planning, and large-scale path planning within the city.
Using model-free reinforcement learning (RL) techniques and privileged learning, we develop a versatile locomotion controller.
Our controllers are integrated into a large-scale urban navigation system and validated by autonomous, kilometer-scale navigation missions conducted in Zurich, Switzerland, and Seville, Spain.
arXiv Detail & Related papers (2024-05-03T00:29:20Z) - Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control [106.32794844077534]
This paper presents a study on using deep reinforcement learning to create dynamic locomotion controllers for bipedal robots.
We develop a general control solution that can be used for a range of dynamic bipedal skills, from periodic walking and running to aperiodic jumping and standing.
This work pushes the limits of agility for bipedal robots through extensive real-world experiments.
arXiv Detail & Related papers (2024-01-30T10:48:43Z) - 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) - Autonomous Aerial Robot for High-Speed Search and Intercept Applications [86.72321289033562]
A fully-autonomous aerial robot for high-speed object grasping has been proposed.
As an additional sub-task, our system is able to autonomously pierce balloons located in poles close to the surface.
Our approach has been validated in a challenging international competition and has shown outstanding results.
arXiv Detail & Related papers (2021-12-10T11:49:51Z)
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.