Research

We advance the state of the art in autonomous systems.

QP Chaser: Polynomial Trajectory Generation for Autonomous Aerial Tracking
QP Chaser: Polynomial Trajectory Generation for Autonomous Aerial Tracking
DMVC-Tracker: Distributed Multi-Agent Trajectory Planning for Target Tracking Using Dynamic Buffered Voronoi and Inter-Visibility Cells
DMVC-Tracker: Distributed Multi-Agent Trajectory Planning for Target Tracking Using Dynamic Buffered Voronoi and Inter-Visibility Cells
Decentralized Trajectory Planning for Quadrotor Swarm in Cluttered Environments with Goal Convergence Guarantee
Decentralized Trajectory Planning for Quadrotor Swarm in Cluttered Environments with Goal Convergence Guarantee
BPMP-Tracker: A Versatile Aerial Target Tracker Using Bernstein Polynomial Motion Primitives
BPMP-Tracker: A Versatile Aerial Target Tracker Using Bernstein Polynomial Motion Primitives
Mono-Camera-Only Target Chasing for a Drone in a Dense Environment by Cross-Modal Learning
Mono-Camera-Only Target Chasing for a Drone in a Dense Environment by Cross-Modal Learning
DLSC: Distributed Multi-Agent Trajectory Planning in Maze-Like Dynamic Environments Using Linear Safe Corridor
DLSC: Distributed Multi-Agent Trajectory Planning in Maze-Like Dynamic Environments Using Linear Safe Corridor
Autonomous Aerial Dual-Target Following Among Obstacles
Autonomous Aerial Dual-Target Following Among Obstacles
Multirobot Collaborative Monocular SLAM Utilizing Rendezvous
Multirobot Collaborative Monocular SLAM Utilizing Rendezvous