Aaron Becker
Aaron Becker's passion is robotics & control. As a Full Prof. in Electrical & Computer Engineering at the University of Houston, he is building a robotics lab. An NSF '16 CAREER recipient & winner of several best papers, his lab manipulates micro-scale swarms with magnetic fields, navigates robotic tools using medical MRIs, kills mosquitos with drones, searches for oil, and assembles structures with swarms.
Previously as '23 Alexander von Humboldt Fellow he studied algorithms for self-assembly in Braunschweig Germany. As a '13 Research Fellow with Boston Children's Hospital & Harvard Medical School, he implemented robotics powered and controlled by the magnetic field of an MRI. As a '12 Rice University Postdoc in the Multi-Robot Systems Lab, Aaron investigated control of distributed systems and nanorobotics with experts in the fields. Aaron earned his PhD in Electrical & Computer Engineering at the University of Illinois at Urbana-Champaign.
3D Reachable Set
2D reachable set for a quadcopter
Tracking the Un trackable
Moving Matter: Using a Single, Simple Robot to Reconfigure a Connected Set of Building Blocks
Estimating Spatially-Dependent GPS Errors Using a Swarm of Robots
Tracking many moving targets with a smaller number of drones
A tetherless, miniature, magnetic robotic swimmer for cauterizing tissue
Multi-Covering a Point Set by m Disks with Minimum Total Area (ICRA 2025)
Min-Time Planar Paths with L2 Velocity & Acceleration Constraints, Limited # Constant Acc. Inputs
An *Analytic* Solution to the 3D CSC Dubins Path Problem!
Reconfiguration of a 2D Structure Using Spatio-Temporal Planning and Load Transferring [ICRA 2024]
Assembly Planning for Magnetic Modular Cubes ICRA 2024
SE(2) Assembly Planning for Magnetic Modular Cubes -- ICRA 2024
Reconfiguration of a 2D Structure Using Spatio-Temporal Planning and Load Transferring
Insertion, Retrieval & Performance of Miniature Magnetic Rotating Swimmers for Thrombi Treatment
Tilt Motion Planning: Motion Plans for Assembling Particles with Global Control
Coding a Reeds-Shepp Car Optimal Path Planner
Coding a Dubins Car Optimal Path Planner
Gathering Physical Particles with a Global Magnetic Field Using Reinforcement Learning
Connected Reconfiguration of Polyominoes Amid Obstacles using RRT*
Jerk continuous Online Trajectory Generation for Robot Manipulator
Wetland Soil Strength Tester and Core Sampler Using a Drone (ICRA 2021)
The Reachable Set of a Drone: Exploring the Position Isochrones for a Quadcopter
Manipulability and Optimizing Joint Velocity, Intro2Robotics lecture 25
PRM: Probabilistic Roadmap Method in 3D and with 7-DOF robot arm
Graham Scan Tutorial: Convex Hull of a Set of 2D Points
Robot Configuration spaces, Intro2Robotics Lecture 21
"The CURSE of dimensionality" Intro 2 Robots Lecture 20