Steve Heim

Orcid: 0000-0002-4916-7464

According to our database1, Steve Heim authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Learning Emergent Gaits with Decentralized Phase Oscillators: on the role of Observations, Rewards, and Feedback.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Safe Value Functions.
IEEE Trans. Autom. Control., May, 2023

Optimal Scheduling of Models and Horizons for Model Hierarchy Predictive Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Benchmarking Potential Based Rewards for Learning Humanoid Locomotion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Learning Fast and Precise Pixel-to-Torque Control: A Platform for Reproducible Research of Learning on Hardware.
IEEE Robotics Autom. Mag., 2022

Learning Fast and Precise Pixel-to-Torque Control.
CoRR, 2022

2021
On exploration requirements for learning safety constraints.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020
An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research.
IEEE Robotics Autom. Lett., 2020

2019
Beyond Basins of Attraction: Quantifying Robustness of Natural Dynamics.
IEEE Trans. Robotics, 2019

An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research.
CoRR, 2019

A Learnable Safety Measure.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Beyond Basins of Attraction: Evaluating Robustness of Natural Dynamics.
CoRR, 2018

Learning from outside the viability kernel: Why we should build robots that can fall with grace.
Proceedings of the 2018 IEEE International Conference on Simulation, 2018

Shaping in Practice: Training Wheels to Learn Fast Hopping Directly in Hardware.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


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