Chengshu Li

Orcid: 0000-0002-9027-8617

Affiliations:
  • Stanford University, Stanford Artificial Intelligence Lab, Stanford, CA, USA


According to our database1, Chengshu Li authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2024
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation.
CoRR, 2024

2023
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator.
CoRR, 2023

Task-Driven Graph Attention for Hierarchical Relational Object Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Modeling Dynamic Environments with Scene Graph Memory.
Proceedings of the International Conference on Machine Learning, 2023

2022
Retrospectives on the Embodied AI Workshop.
CoRR, 2022


2021
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments.
IEEE Robotics Autom. Lett., 2020

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes.
CoRR, 2020

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation.
CoRR, 2020

2019
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments.
CoRR, 2019

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019


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