research
∙
08/25/2023
MRNAV: Multi-Robot Aware Planning and Control Stack for Collision and Deadlock-free Navigation in Cluttered Environments
Multi-robot collision-free and deadlock-free navigation in cluttered env...
share
research
∙
08/01/2023
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches
Autonomous flying robots, such as multirotors, often rely on deep learni...
research
∙
05/22/2023
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors
Autonomous flying robots, e.g. multirotors, often rely on a neural netwo...
research
∙
04/27/2023
Comparison of Optimization-Based Methods for Energy-Optimal Quadrotor Motion Planning
Quadrotors are agile flying robots that are challenging to control. Cons...
research
∙
04/05/2023
Efficient Optimization-based Cable Force Allocation for Geometric Control of Multiple Quadrotors Transporting a Payload
We consider transporting a heavy payload that is attached to multiple qu...
research
∙
03/07/2023
A Dataset and Comparative Study for Vision-Based Relative Position Estimation of Multirotor Teams Flying in Close Proximity
Multirotor teams are useful for inspection, delivery, and construction t...
research
∙
02/24/2023
RLSS: Real-time, Decentralized, Cooperative, Networkless Multi-Robot Trajectory Planning using Linear Spatial Separations
Trajectory planning for multiple robots in shared environments is a chal...
research
∙
03/10/2022
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation
Task and Motion Planning has made great progress in solving hard sequent...
research
∙
04/23/2021
Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research
The Lighthouse system was originally developed as tracking system for vi...
research
∙
03/13/2021
RLSS: Real-time Multi-Robot Trajectory Replanning using Linear Spatial Separations
Trajectory replanning is a critical problem for multi-robot teams naviga...
research
∙
12/10/2020
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions
We present Neural-Swarm2, a learning-based method for motion planning an...
research
∙
03/06/2020
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions
In this paper, we present Neural-Swarm, a nonlinear decentralized stable...
research
∙
03/11/2019
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors
Quadrotor stabilizing controllers often require careful, model-specific ...
research
∙
12/15/2018
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery
The Multi-Agent Pickup and Delivery (MAPD) problem models applications w...
research
∙
03/30/2018
Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems
The authors present an overview of a hierarchical framework for coordina...
research
∙
04/25/2017
