Fei Gao
Dr. Fei Gao is currently a tenure-track associate professor at Zhejiang University, where he co-directs the Field Autonomous System and Computing (FAST) Laboratory and leads the Flying Autonomous Robotics（FAR）Group. This channel presents his research on autonomous robots.
Microsaccade-inspired event camera for robotics
Microsaccade-inspired event camera for robotics
Microsaccade-inspired event camera for robotics
Microsaccade-inspired event camera for robotics
Microsaccade-inspired event camera for robotics
Polynomial-based Online Planning for Autonomous Drone Racing in Dynamic Environments
Robo-centric ESDF: A Fast and Accurate Whole-body Collision Evaluation Tool for Any-Shape Robots
Impact-Aware Planning and Control for Aerial Robots with Suspended Payload
Learning Agility Adaptation for Flight in Clutter
Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion Model
Collaborative Planning for Catching and Transporting Objects in Unstructured Environments
Simultaneous Time Synchronization and Mutual Localization for Multi-robot System
Active Collision-Based Navigation for Wheeled Robots
Tell Robots Where to Go: Identifying Localization-Friendly Areas via Perturbation Analysis
Skater: A Novel Bi-modal Bi-copter Robot for Adaptive Locomotion in Air and Diverse Terrain
![Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios [S2]](https://ricktube.ru/thumbnail/fBwW93Zq9ss/mqdefault.jpg)
Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios [S2]
![Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios [S1]](https://ricktube.ru/thumbnail/5XKm7qkp2Xs/mqdefault.jpg)
Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios [S1]
Formation Flight in Dense Environments
A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization
Differential Flatness-Based Trajectory Planning for Autonomous Vehicles
Canfly: A Can-sized Autonomous Mini Coaxial Helicopter
An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain
DIDO: Deep Inertial Quadrotor Dynamical Odometry
Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization
Model-Based Planning and Control for Terrestrial-Aerial Bimodal Vehicles with Passive Wheels.
Autonomous and Adaptive Navigation for Terrestrial-Aerial Bimodal Vehicles
Automatic Parameter Adaptation for Quadrotor Trajectory Planning
Auto-filmer: Autonomous Aerial Videography under Human Interaction
Ring-Rotor: A Novel Retractable Ring-shaped Quadrotor with Aerial Grasping and Transportation
CREPES: Cooperative RElative Pose EStimation towards Real-World Multi-Robot Systems