Siyuan Feng

Orcid: 0000-0002-3296-0597

Affiliations:
  • Toyota Research Institute, One Kendall Square, Cambridge, MA, USA
  • Carnegie Mellon University, Robotics Institute, PA, USA


According to our database1, Siyuan Feng authored at least 27 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Iterative residual policy: For goal-conditioned dynamic manipulation of deformable objects.
Int. J. Robotics Res., 2024

Robot Learning as an Empirical Science: Best Practices for Policy Evaluation.
CoRR, 2024

Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.
CoRR, 2024

2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Bag All You Need: Learning a Generalizable Bagging Strategy for Heterogeneous Objects.
IROS, 2023

Cloth Funnels: Canonicalized-Alignment for Multi-Purpose Garment Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Key Areas of Ecological Restoration in Inner Mongolia Based on Ecosystem Vulnerability and Ecosystem Service.
Remote. Sens., 2022

Conditional Energy-Based Models for Implicit Policies: The Gap between Theory and Practice.
CoRR, 2022

DextAIRity: Deformable Manipulation Can be a Breeze.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2017
Team WPI-CMU: Achieving Reliable Humanoid Behavior in the DARPA Robotics Challenge.
J. Field Robotics, 2017

2016
Online Hierarchical Optimization for Humanoid Control.
PhD thesis, 2016

Robust dynamic walking using online foot step optimization.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

A distributed MEMS gyro network for joint velocity estimation.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Optimization-based Full Body Control for the DARPA Robotics Challenge.
J. Field Robotics, 2015

Human-in-the-loop Control of a Humanoid Robot for Disaster Response: A Report from the DARPA Robotics Challenge Trials.
J. Field Robotics, 2015

Center of mass estimator for humanoids and its application in modelling error compensation, fall detection and prevention.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Full-body motion planning and control for the car egress task of the DARPA robotics challenge.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Optimization based controller design and implementation for the Atlas robot in the DARPA Robotics Challenge Finals.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Human-supervised control of the ATLAS humanoid robot for traversing doors.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015


2014
Design and Open-Loop Control of the ParkourBot, a Dynamic Climbing Robot.
IEEE Trans. Robotics, 2014

Dynamic state estimation using Quadratic Programming.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Decoupled state estimation for humanoids using full-body dynamics.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Optimization based full body control for the atlas robot.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2011
The ParkourBot - a dynamic BowLeg climbing robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Minimalistic, dynamic, tube climbing robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010


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