Anthony Simeonov

According to our database, Anthony Simeonov authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation.

Marcel Torne, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal

CoRR, 2024

2023

Human-Assisted Continual Robot Learning with Foundation Models.

Meenal Parakh, Alisha Fong, Anthony Simeonov, Abhishek Gupta, Tao Chen, Pulkit Agrawal

CoRR, 2023

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.

Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez, Pulkit Agrawal, Dieter Fox

CoRR, 2023

Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation.

Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling

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

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.

Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox

Proceedings of the Conference on Robot Learning, 2023

2022

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.

Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal

CoRR, 2022

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation.

Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann

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

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.

Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 2022

MIRA: Mental Imagery for Robotic Affordances.

Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola

Proceedings of the Conference on Robot Learning, 2022

2021

Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners.

Ahmed Hussain Qureshi, Yinglong Miao, Anthony Simeonov, Michael C. Yip

IEEE Trans. Robotics, 2021

2020

A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects.

Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Motion Planning Networks.

Ahmed Hussain Qureshi, Anthony Simeonov, Mayur J. Bency, Michael C. Yip

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Bundled Super-Coiled Polymer Artificial Muscles: Design, Characterization, and Modeling.

Anthony Simeonov, Taylor Henderson, Zixuan Lan, Guhan Sundar, Adam Factor, Jun Zhang, Michael C. Yip

IEEE Robotics Autom. Lett., 2018

Stickman: Towards a Human Scale Acrobatic Robot.

Morgan T. Pope, Steven Christensen, David L. Christensen, Anthony Simeonov, Grant Imahara, Günter Niemeyer

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Modeling and Inverse Compensation of Hysteresis in Supercoiled Polymer Artificial Muscles.

Jun Zhang, Kaushik Iyer, Anthony Simeonov, Michael C. Yip

IEEE Robotics Autom. Lett., 2017