Jeremy Dao

According to our database, Jeremy Dao authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Sim-to-Real Learning for Humanoid Box Loco-Manipulation.

Jeremy Dao, Helei Duan, Alan Fern

CoRR, 2023

Learning Vision-Based Bipedal Locomotion for Challenging Terrain.

Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap van Marum, Jeremy Dao, Chanho Kim, Alan Fern

CoRR, 2023

Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running.

Devin Crowley, Jeremy Dao, Helei Duan, Kevin Green, Jonathan W. Hurst, Alan Fern

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

2022

Dynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning.

Fangzhou Yu, Ryan Batke, Jeremy Dao, Jonathan W. Hurst, Kevin Green, Alan Fern

CoRR, 2022

Learning Dynamic Bipedal Walking Across Stepping Stones.

Helei Duan, Ashish Malik, Mohitvishnu S. Gadde, Jeremy Dao, Alan Fern, Jonathan W. Hurst

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking.

Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst

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

Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads.

Jeremy Dao, Kevin Green, Helei Duan, Alan Fern, Jonathan W. Hurst

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

Dynamic Bipedal Turning through Sim-to-Real Reinforcement Learning.

Fangzhou Yu, Ryan Batke, Jeremy Dao, Jonathan W. Hurst, Kevin Green, Alan Fern

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning.

Ryan Batke, Fangzhou Yu, Jeremy Dao, Jonathan W. Hurst, Ross L. Hatton, Alan Fern, Kevin Green

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021

Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model.

Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan W. Hurst

IEEE Robotics Autom. Lett., 2021

Learning Task Space Actions for Bipedal Locomotion.

Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan W. Hurst

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning Memory-Based Control for Human-Scale Bipedal Locomotion.

Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan W. Hurst

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

Iterative Reinforcement Learning Based Design of Dynamic Locomotion Skills for Cassie.

Zhaoming Xie, Patrick Clary, Jeremy Dao, Pedro Morais, Jonathan W. Hurst, Michiel van de Panne

CoRR, 2019

Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real.

Zhaoming Xie, Patrick Clary, Jeremy Dao, Pedro Morais, Jonathan W. Hurst, Michiel van de Panne

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system.

Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov

Proceedings of the 2018 IEEE International Conference on Simulation, 2018

2016

Real-time state estimation with whole-body multi-contact dynamics: A modified UKF approach.

Kendall Lowrey, Jeremy Dao, Emanuel Todorov

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016