Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Fuente:
arXiv
Saved in:
| Main Authors: | Muff, Jed, Ito, Keiichi, Ang, Elijah H. W., Miras, Karine, Eiben, A. E. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Limits of Lamarckian Evolution Under Pressure of Morphological Novelty
by: Muff, Jed R, et al.
Published: (2026)
by: Muff, Jed R, et al.
Published: (2026)
Environmental regulation using Plasticoding for the evolution of robots
by: Miras, Karine, et al.
Published: (2020)
by: Miras, Karine, et al.
Published: (2020)
Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments
by: Luo, Jie, et al.
Published: (2024)
by: Luo, Jie, et al.
Published: (2024)
Multi-objective Evolution of Drone Morphology
by: Ang, Elijah H. W., et al.
Published: (2025)
by: Ang, Elijah H. W., et al.
Published: (2025)
Open-endedness induced through a predator-prey scenario using modular robots
by: Kachler, Dimitri, et al.
Published: (2023)
by: Kachler, Dimitri, et al.
Published: (2023)
Adaptive Nonlinear MPC for Trajectory Tracking of An Overactuated Tiltrotor Hexacopter
by: Liu, Yueqian, et al.
Published: (2022)
by: Liu, Yueqian, et al.
Published: (2022)
A Class of Dual-Frame Passively-Tilting Fully-Actuated Hexacopter
by: Liu, Jiajun, et al.
Published: (2025)
by: Liu, Jiajun, et al.
Published: (2025)
Active Robot Curriculum Learning from Online Human Demonstrations
by: Hou, Muhan, et al.
Published: (2025)
by: Hou, Muhan, et al.
Published: (2025)
AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents
by: Godin-Dubois, Kevin, et al.
Published: (2024)
by: Godin-Dubois, Kevin, et al.
Published: (2024)
Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
by: Hou, Muhan, et al.
Published: (2025)
by: Hou, Muhan, et al.
Published: (2025)
Gain Tuning Is Not What You Need: Reward Gain Adaptation for Constrained Locomotion Learning
by: Srisuchinnawong, Arthicha, et al.
Published: (2025)
by: Srisuchinnawong, Arthicha, et al.
Published: (2025)
A New 10-mg SMA-Based Fast Bimorph Actuator for Microrobotics
by: Trygstad, Conor K., et al.
Published: (2024)
by: Trygstad, Conor K., et al.
Published: (2024)
Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms
by: van Diggelen, Fuda, et al.
Published: (2024)
by: van Diggelen, Fuda, et al.
Published: (2024)
Tune to Learn: How Controller Gains Shape Robot Policy Learning
by: Bronars, Antonia, et al.
Published: (2026)
by: Bronars, Antonia, et al.
Published: (2026)
From the Lab to the Theater: An Unconventional Field Robotics Journey
by: Imran, Ali, et al.
Published: (2024)
by: Imran, Ali, et al.
Published: (2024)
Optimal Scalability-Aware Allocation of Swarm Robots: From Linear to Retrograde Performance via Marginal Gains
by: Bingöl, Simay Atasoy, et al.
Published: (2025)
by: Bingöl, Simay Atasoy, et al.
Published: (2025)
Label-Efficient Grasp Joint Prediction with Point-JEPA
by: Guzelkabaagac, Jed, et al.
Published: (2025)
by: Guzelkabaagac, Jed, et al.
Published: (2025)
Disturbance Estimation of Legged Robots: Predefined Convergence via Dynamic Gains
by: Li, Bolin, et al.
Published: (2025)
by: Li, Bolin, et al.
Published: (2025)
Emergent Heterogeneous Swarm Control Through Hebbian Learning
by: van Diggelen, Fuda, et al.
Published: (2025)
by: van Diggelen, Fuda, et al.
Published: (2025)
D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning
by: Yu, Shu-Ang, et al.
Published: (2025)
by: Yu, Shu-Ang, et al.
Published: (2025)
Using VLM Reasoning to Constrain Task and Motion Planning
by: Yan, Muyang, et al.
Published: (2025)
by: Yan, Muyang, et al.
Published: (2025)
An Efficient Detection and Control System for Underwater Docking using Machine Learning and Realistic Simulation: A Comprehensive Approach
by: Chavez-Galaviz, Jalil, et al.
Published: (2023)
by: Chavez-Galaviz, Jalil, et al.
Published: (2023)
Analysis of Fatigue-Induced Compensatory Movements in Bicep Curls: Gaining Insights for the Deployment of Wearable Sensors
by: Chua, Ming Xuan, et al.
Published: (2024)
by: Chua, Ming Xuan, et al.
Published: (2024)
Cross-Platform Learnable Fuzzy Gain-Scheduled Proportional-Integral-Derivative Controller Tuning via Physics-Constrained Meta-Learning and Reinforcement Learning Adaptation
by: Wu, JiaHao, et al.
Published: (2025)
by: Wu, JiaHao, et al.
Published: (2025)
Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges
by: Li, Zezeng, et al.
Published: (2025)
by: Li, Zezeng, et al.
Published: (2025)
PreGME: Prescribed Performance Control of Aerial Manipulators based on Variable-Gain ESO
by: Ji, Mengyu, et al.
Published: (2025)
by: Ji, Mengyu, et al.
Published: (2025)
Fast Object Detection with a Machine Learning Edge Device
by: Rodriguez, Richard C., et al.
Published: (2024)
by: Rodriguez, Richard C., et al.
Published: (2024)
New Insights into Cascaded Geometric Flight Control: From Performance Guarantees to Practical Pitfalls
by: Lopez, Brett T.
Published: (2025)
by: Lopez, Brett T.
Published: (2025)
Navigation and Control of Unconventional VTOL UAVs in Forward-Flight with Explicit Wind Velocity Estimation
by: Cohen, Mitchell, et al.
Published: (2024)
by: Cohen, Mitchell, et al.
Published: (2024)
Achieving Faster and More Accurate Operation of Deep Predictive Learning
by: Yoshikawa, Masaki, et al.
Published: (2024)
by: Yoshikawa, Masaki, et al.
Published: (2024)
URPlanner: A Universal Paradigm For Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning
by: Ying, Fengkang, et al.
Published: (2025)
by: Ying, Fengkang, et al.
Published: (2025)
Enhancing Task Performance of Learned Simplified Models via Reinforcement Learning
by: Bui, Hien, et al.
Published: (2023)
by: Bui, Hien, et al.
Published: (2023)
Reinforcement Learning Based Prediction of PID Controller Gains for Quadrotor UAVs
by: Sönmez, Serhat, et al.
Published: (2025)
by: Sönmez, Serhat, et al.
Published: (2025)
Deep Predictive Learning: Motion Learning Concept inspired by Cognitive Robotics
by: Suzuki, Kanata, et al.
Published: (2023)
by: Suzuki, Kanata, et al.
Published: (2023)
High-Gain Disturbance Observer for Robust Trajectory Tracking of Quadrotors
by: Izadi, Mohammadreza, et al.
Published: (2023)
by: Izadi, Mohammadreza, et al.
Published: (2023)
ARO: Large Language Model Supervised Robotics Text2Skill Autonomous Learning
by: Chen, Yiwen, et al.
Published: (2024)
by: Chen, Yiwen, et al.
Published: (2024)
VLEIBot: A New 45-mg Swimming Microrobot Driven by a Bioinspired Anguilliform Propulsor
by: Blankenship, Elijah K., et al.
Published: (2024)
by: Blankenship, Elijah K., et al.
Published: (2024)
Information Gain Is Not All You Need
by: Ericson, Ludvig, et al.
Published: (2025)
by: Ericson, Ludvig, et al.
Published: (2025)
Development of Implicit-Explicit Control Based Amphibious Centipede-Type Robot and Evaluation of its Mobile Performance
by: Tsunoda, Yusuke, et al.
Published: (2025)
by: Tsunoda, Yusuke, et al.
Published: (2025)
Towards Human-Robot Teaming through Augmented Reality and Gaze-Based Attention Control
by: Shleibik, Yousra, et al.
Published: (2024)
by: Shleibik, Yousra, et al.
Published: (2024)
Similar Items
-
Limits of Lamarckian Evolution Under Pressure of Morphological Novelty
by: Muff, Jed R, et al.
Published: (2026) -
Environmental regulation using Plasticoding for the evolution of robots
by: Miras, Karine, et al.
Published: (2020) -
Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments
by: Luo, Jie, et al.
Published: (2024) -
Multi-objective Evolution of Drone Morphology
by: Ang, Elijah H. W., et al.
Published: (2025) -
Open-endedness induced through a predator-prey scenario using modular robots
by: Kachler, Dimitri, et al.
Published: (2023)