Ian Abraham

According to our database, Ian Abraham authored at least 38 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RB5 Low-Cost Explorer: Implementing Autonomous Long-Term Exploration on Low-Cost Robotic Hardware.

Adam Seewald, Marvin Chancán, Connor M. McCann, Seonghoon Noh, Omeed Fallahi, Hector Castillo, Ian Abraham, Aaron M. Dollar

CoRR, 2024

2023

A Pareto-Optimal Local Optimization Framework for Multiobjective Ergodic Search.

Zhongqiang Ren, Akshaya Kesarimangalam Srinivasan, Bhaskar Vundurthy, Ian Abraham, Howie Choset

IEEE Trans. Robotics, October, 2023

Learning Stable Models for Prediction and Control.

Giorgos Mamakoukas, Ian Abraham, Todd D. Murphey

IEEE Trans. Robotics, June, 2023

Hybrid control for combining model-based and model-free reinforcement learning.

Allison Pinosky, Ian Abraham, Alexander Broad, Brenna Argall, Todd D. Murphey

Int. J. Robotics Res., May, 2023

Scale-Invariant Specifications for Human-Swarm Systems.

Joel Meyer, Ahalya Prabhakar, Allison Pinosky, Ian Abraham, Annalisa T. Taylor, Millicent Schlafly, Katarina Popovic, Giovani Diniz, Brendan Teich, Borislava I. Simidchieva, Shane Clark, Todd D. Murphey

Field Robotics, January, 2023

Energy-Aware Ergodic Search: Continuous Exploration for Multi-Agent Systems with Battery Constraints.

Adam Seewald, Cameron J. Lerch, Marvin Chancán, Aaron M. Dollar, Ian Abraham

CoRR, 2023

DEUX: Active Exploration for Learning Unsupervised Depth Perception.

Marvin Chancán, Alex Wong, Ian Abraham

CoRR, 2023

Time Optimal Ergodic Search.

Dayi E. Dong, Henry P. Berger, Ian Abraham

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Bi-Level Image-Guided Ergodic Exploration with Applications to Planetary Rovers.

Elena Wittemyer, Ian Abraham

IROS, 2023

Multi-Agent Multi-Objective Ergodic Search Using Branch and Bound.

Akshaya Kesarimangalam Srinivasan, Geordan Gutow, Zhongqiang Ren, Ian Abraham, Bhaskar Vundurthy, Howie Choset

IROS, 2023

Safety-Critical Ergodic Exploration in Cluttered Environments via Control Barrier Functions.

Cameron Lerch, Dayi Dong, Ian Abraham

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Learning Cooperative Multi-Agent Policies With Partial Reward Decoupling.

Benjamin Freed, Aditya Kapoor, Ian Abraham, Jeff G. Schneider, Howie Choset

IEEE Robotics Autom. Lett., 2022

Safety-Critical Ergodic Exploration in Cluttered Environments via Control Barrier Functions.

Cameron Lerch, Ethan Dong, Ian Abraham

CoRR, 2022

A Cauchy-type Hamilton-Jacobi Successive Approximation Scheme For Reachable Sets Computation.

Olalekan Ogunmolu, Ian Abraham, Sylvia L. Herbert

CoRR, 2022

A Local Optimization Framework for Multi-Objective Ergodic Search.

Zhongqiang Ren, Akshaya Kesarimangalam Srinivasan, Howard Coffin, Ian Abraham, Howie Choset

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Scale-Invariant Fast Functional Registration.

Muchen Sun, Allison Pinosky, Ian Abraham, Todd D. Murphey

Proceedings of the Robotics Research, 2022

Multi-Agent Dynamic Ergodic Search with Low-Information Sensors.

Howard Coffin, Ian Abraham, Guillaume Sartoretti, Tyler Dillstrom, Howie Choset

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Sparse Sensing in Ergodic Optimization.

Ananya Rao, Ian Abraham, Guillaume Sartoretti, Howie Choset

Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 2022

2021

An Ergodic Measure for Active Learning From Equilibrium.

Ian Abraham, Ahalya Prabhakar, Todd D. Murphey

IEEE Trans Autom. Sci. Eng., 2021

Hybrid Control for Learning Motor Skills.

Ian Abraham, Alexander Broad, Allison Pinosky, Brenna Argall, Todd D. Murphey

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Linear Policies are Sufficient to Enable Low-Cost Quadrupedal Robots to Traverse Rough Terrain.

Maurice Rahme, Ian Abraham, Matthew L. Elwin, Todd D. Murphey

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control.

Ian Abraham, Ankur Handa, Nathan D. Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox

IEEE Robotics Autom. Lett., 2020

Data-driven Koopman operators for model-based shared control of human-machine systems.

Alexander Broad, Ian Abraham, Todd D. Murphey, Brenna Argall

Int. J. Robotics Res., 2020

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

Maurice Rahme, Ian Abraham, Matthew L. Elwin, Todd D. Murphey

CoRR, 2020

Learning Data-Driven Stable Koopman Operators.

Giorgos Mamakoukas, Ian Abraham, Todd D. Murphey

CoRR, 2020

Ergodic Specifications for Flexible Swarm Control: From User Commands to Persistent Adaptation.

Ahalya Prabhakar, Ian Abraham, Annalisa T. Taylor, Millicent Schlafly, Katarina Popovic, Giovani Diniz, Brendan Teich, Borislava I. Simidchieva, Shane Clark, Todd D. Murphey

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

Active Learning of Dynamics for Data-Driven Control Using Koopman Operators.

Ian Abraham, Todd D. Murphey

IEEE Trans. Robotics, 2019

2018

Real-Time Area Coverage and Target Localization Using Receding-Horizon Ergodic Exploration.

Anastasia Mavrommati, Emmanouil Tzorakoleftherakis, Ian Abraham, Todd D. Murphey

IEEE Trans. Robotics, 2018

Decentralized Ergodic Control: Distribution-Driven Sensing and Exploration for Multiagent Systems.

Ian Abraham, Todd D. Murphey

IEEE Robotics Autom. Lett., 2018

Structured Neural Network Dynamics for Model-based Control.

Alexander Broad, Ian Abraham, Todd D. Murphey, Brenna D. Argall

CoRR, 2018

Decentralized Ergodic Control: Distribution-Driven Sensing and Exploration for Multi-Agent Systems.

Ian Abraham, Todd D. Murphey

CoRR, 2018

Active Area Coverage from Equilibrium.

Ian Abraham, Ahalya Prabhakar, Todd D. Murphey

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Data-Driven Measurement Models for Active Localization in Sparse Environments.

Ian Abraham, Anastasia Mavrommati, Todd D. Murphey

Proceedings of the Robotics: Science and Systems XIV, 2018

2017

Ergodic Exploration Using Binary Sensing for Nonparametric Shape Estimation.

Ian Abraham, Ahalya Prabhakar, Mitra J. Z. Hartmann, Todd D. Murphey

IEEE Robotics Autom. Lett., 2017

Ergodic Exploration using Binary Sensing for Non-Parametric Shape Estimation.

Ian Abraham, Ahalya Prabhakar, Mitra J. Z. Hartmann, Todd D. Murphey

CoRR, 2017

Model-Based Control Using Koopman Operators.

Ian Abraham, Gerardo De La Torre, Todd D. Murphey

Proceedings of the Robotics: Science and Systems XIII, 2017

2015

Model predictive control of buoyancy propelled autonomous underwater glider.

Ian Abraham, Jingang Yi

Proceedings of the American Control Conference, 2015

1997

Supervised Learning Extensions to the CLAM Network.

Neil A. Thacker, Ian Abraham, Patrick Courtney

Neural Networks, 1997