activity
20182023
most citedControl of Large Swarms via Random Finite Set Theory

11 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023

The ReSWARM Microgravity Flight Experiments: Planning, Control, and Model Estimation for On-Orbit Close Proximity Operations

Bryce Doerr, Keenan Albee, Monica Ekal +2

On-orbit close proximity operations involve robotic spacecraft maneuvering and making decisions for a growing number of mission scenarios demanding autonomy, including on-orbit ass…

cs.RO2021★ 1 cited

Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly

Bryce Doerr, Keenan Albee, Monica Ekal +2

As access to space and robotic autonomy capabilities move forward, there is simultaneously a growing interest in deploying large, complex space structures to provide new on-orbit c…

cs.RO2020★ 7 cited

Motion Planning and Control for On-Orbit Assembly using LQR-RRT* and Nonlinear MPC

Bryce Doerr, Richard Linares

Deploying large, complex space structures is of great interest to the modern scientific world as it can provide new capabilities in obtaining scientific, communicative, and observa…

eess.SY2020

Decentralized Control of Large Collaborative Swarms using Random Finite Set Theory

Bryce Doerr, Richard Linares

Controlling large swarms of robotic agents presents many challenges including, but not limited to, computational complexity due to a large number of agents, uncertainty in the func…

eess.SY2019

Space Objects Maneuvering Prediction via Maximum Causal Entropy Inverse Reinforcement Learning

Bryce Doerr, Richard Linares, Roberto Furfaro

Inverse Reinforcement Learning (RL) can be used to determine the behavior of Space Objects (SOs) by estimating the reward function that an SO is using for control. The approach dis…

eess.SY2018★ 4 cited

Random Finite Set Theory and Centralized Control of Large Collaborative Swarms

Bryce Doerr, Richard Linares, Pingping Zhu +1

Controlling large swarms of robotic agents presents many challenges including, but not limited to, computational complexity due to a large number of agents, uncertainty in the func…