Wenhao Yu

Orcid: 0000-0001-8263-8224

Affiliations:
  • Georgia Institute of Technology, School of Interactive Computing, Atlanta, GA, USA
  • Robotics at Google, Mountain View, CA, USA


According to our database1, Wenhao Yu authored at least 63 papers between 2016 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
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors Without Any Outdoor Experience.
IEEE Robotics Autom. Lett., May, 2024

Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning.
Mach. Learn., May, 2024

Agile Continuous Jumping in Discontinuous Terrains.
CoRR, 2024

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning.
CoRR, 2024

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.
CoRR, 2024

Learning-based legged locomotion; state of the art and future perspectives.
CoRR, 2024

Gameplay Filters: Safe Robot Walking through Adversarial Imagination.
CoRR, 2024

LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators.
CoRR, 2024

CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments.
CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR, 2024

Gradient shaping for multi-constraint safe reinforcement learning.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Creative Robot Tool Use with Large Language Models.
CoRR, 2023

Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control.
CoRR, 2023

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.
CoRR, 2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning.
CoRR, 2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.
CoRR, 2023

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continuous Versatile Jumping Using Learned Action Residuals.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Perceptive Hexapod Legged Locomotion for Climbing Joist Environments.
IROS, 2023

A Unified Perspective on Multiple Shooting In Differential Dynamic Programming.
IROS, 2023

Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC With Hybrid-Systems DDP.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller.
Proceedings of the Conference on Robot Learning, 2023

SayTap: Language to Quadrupedal Locomotion.
Proceedings of the Conference on Robot Learning, 2023

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.
Proceedings of the Conference on Robot Learning, 2023


2022
Robot Learning From Randomized Simulations: A Review.
Frontiers Robotics AI, 2022

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning.
CoRR, 2022

Safe Reinforcement Learning for Legged Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Semantics-Aware Locomotion Skills from Human Demonstration.
Proceedings of the Conference on Robot Learning, 2022

2021
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery.
CoRR, 2021

Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning.
CoRR, 2021

Learning Human Search Behavior from Egocentric Visual Inputs.
Comput. Graph. Forum, 2021

COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Policy Transfer via Kinematic Domain Randomization and Adaptation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Protective Policy Transfer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Visual-Locomotion: Learning to Walk on Complex Terrains with Vision.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Learning to manipulate amorphous materials.
ACM Trans. Graph., 2020

Learning Fast Adaptation With Meta Strategy Optimization.
IEEE Robotics Autom. Lett., 2020

2019
Personalized collaborative plans for robot-assisted dressing via optimization and simulation.
Auton. Robots, 2019

Sim-to-Real Transfer for Biped Locomotion.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Novel Policies For Tasks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Policy Transfer with Strategy Optimization.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Learning symmetric and low-energy locomotion.
ACM Trans. Graph., 2018

Learning to dress: synthesizing human dressing motion via deep reinforcement learning.
ACM Trans. Graph., 2018

Learning Symmetry and Low-energy Locomotion.
CoRR, 2018

2017
Multi-task Learning with Gradient Guided Policy Specialization.
CoRR, 2017

Learning Human Behaviors for Robot-Assisted Dressing.
CoRR, 2017

Preparing for the Unknown: Learning a Universal Policy with Online System Identification.
CoRR, 2017

Learning to Navigate Cloth using Haptics.
CoRR, 2017

Preparing for the Unknown: Learning a Universal Policy with Online System Identification.
Proceedings of the Robotics: Science and Systems XIII, 2017

Learning to navigate cloth using haptics.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Haptic simulation for robot-assisted dressing.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

What does the person feel? Learning to infer applied forces during robot-assisted dressing.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Dexterous Manipulation of Cloth.
Comput. Graph. Forum, 2016

Data-driven haptic perception for robot-assisted dressing.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016


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