Cover Image

A highly maneuverable flying squirrel drone with agility-improving foldable wings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Dohyeon, Kang, Jun-Gill, Han, Soohee
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A highly maneuverable flying squirrel drone with controllable foldable wings
by: Kang, Jun-Gill, et al.
Published: (2025)

Improved particle swarm optimization algorithm: multi-target trajectory optimization for swarm drones
by: Li, Minze, et al.
Published: (2025)

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC
by: Han, Seungho, et al.
Published: (2026)

TACOS: Task Agnostic COordinator of a multi-drone System
by: Nazzari, Alessandro, et al.
Published: (2025)

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model
by: Liu, Yaohua
Published: (2024)

Training on the Fly: On-device Self-supervised Learning aboard Nano-drones within 20 mW
by: Cereda, Elia, et al.
Published: (2024)

Design and analysis of a bionic‐inspired single‐rotor MAV with a foldable wing
by: Wenju Liu, et al.
Published: (2024)

GenZ-ICP: Generalizable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting
by: Lee, Daehan, et al.
Published: (2024)

ROFT-VINS: Robust Feature Tracking-based Visual-Inertial State Estimation for Harsh Environment
by: Park, Sanghyun, et al.
Published: (2026)

ReefGlider: A highly maneuverable vectored buoyancy engine based underwater robot
by: Macauley, Kevin, et al.
Published: (2024)

Automatic parking planning control method based on improved A* algorithm
by: Zhao, Yuxuan
Published: (2024)

Delayed homomorphic reinforcement learning for environments with delayed feedback
by: Lee, Jongsoo, et al.
Published: (2026)

Energy‐consumption model for rotary‐wing drones
by: Hongqi Li, et al.
Published: (2024)

A Loss Landscape Visualization Framework for Interpreting Reinforcement Learning: An ADHDP Case Study
by: Liu, Jingyi, et al.
Published: (2026)

Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
by: Lee, Sangoh, et al.
Published: (2025)

SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
by: Kim, Jongsuk, et al.
Published: (2025)

Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms
by: Liu, Jingyi, et al.
Published: (2026)

Adapting Critic Match Loss Landscape Visualization to Off-policy Reinforcement Learning
by: Liu, Jingyi, et al.
Published: (2026)

Disentangling perception and reasoning for improving data efficiency in learning cloth manipulation without demonstrations
by: Delehelle, Donatien, et al.
Published: (2026)

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
by: Zhu, Xiang, et al.
Published: (2022)

LA-RCS: LLM-Agent-Based Robot Control System
by: Park, TaekHyun, et al.
Published: (2025)

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects
by: Gupta, Anmol, et al.
Published: (2025)

ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning
by: Kim, Byung-ju, et al.
Published: (2025)

CarPLAN: Context-Adaptive and Robust Planning with Dynamic Scene Awareness for Autonomous Driving
by: Yun, Junyong, et al.
Published: (2026)

Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system
by: Wang, Junping, et al.
Published: (2026)

Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards
by: Kwon, Hyeokjin, et al.
Published: (2024)

Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
by: Lee, Taeho, et al.
Published: (2025)

SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
by: Rajvanshi, Abhinav, et al.
Published: (2023)

SECOND-Grasp: Semantic Contact-guided Dexterous Grasping
by: Shin, Han Yi, et al.
Published: (2026)

Explainable deep learning improves human mental models of self-driving cars
by: Kenny, Eoin M., et al.
Published: (2024)

A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
by: Wong, Lik Hang Kenny, et al.
Published: (2025)

Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control
by: Lee, Lambert, et al.
Published: (2025)

SketcherX: AI-Driven Interactive Robotic drawing with Diffusion model and Vectorization Techniques
by: Song, Jookyung, et al.
Published: (2024)

Self-Corrective Task Planning by Inverse Prompting with Large Language Models
by: Lee, Jiho, et al.
Published: (2025)

Differentiable Motion Manifold Primitives for Reactive Motion Generation under Kinodynamic Constraints
by: Lee, Yonghyeon
Published: (2024)

FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation
by: Shi, Xirui, et al.
Published: (2025)

Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration
by: Kantaros, Yiannis, et al.
Published: (2024)

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network
by: Xiang, Jun, et al.
Published: (2024)

Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
by: Kim, Heecheol, et al.
Published: (2021)

Model Predictive Adversarial Imitation Learning for Planning from Observation
by: Han, Tyler, et al.
Published: (2025)