Huang, Wenlong
Stanford University
8 papers on CoChatORCID 0000-0003-3611-5654
Most cited papers
- Verified
Code as Policies: Language Model Programs for Embodied Control
Liang, J., Huang, W., Xia, F., Xu, P., Hausman, K., Ichter, B., Florence, P., & Zeng, A. (2022) · arXiv
Robot Manipulation and LearningAI-based Problem Solving and Planning
Cited by 767
- Verified
Code as Policies: Language Model Programs for Embodied Control
Liang, J., Huang, W., Xia, F., Xu, P., Hausman, K., Ichter, B., Florence, P., & Zeng, A. (2023) · 2023 IEEE International Conference on Robotics and Automation (ICRA)
Robot Manipulation and LearningAI-based Problem Solving and Planning
Cited by 767
- Verified
PaLM-E: An Embodied Multimodal Language Model
Driess, D., Xia, F., Sajjadi, M. S. M., Lynch, C., Chowdhery, A., Ichter, B., Wahid, A., Tompson, J., Vuong, Q., Yu, T., et al. (2023) · arXiv
Multimodal Machine Learning ApplicationsRobot Manipulation and Learning
Cited by 591
- Verified
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Huang, W., Abbeel, P., Pathak, D., & Mordatch, I. (2022) · arXiv
AI-based Problem Solving and PlanningRobot Manipulation and Learning
Cited by 304
- Verified
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
Huang, W., Wang, C., Li, Y., Zhang, R., & Fei-Fei, L. (2024) · arXiv
Robot Manipulation and LearningAI-based Problem Solving and Planning
Cited by 288
- Verified
Inner Monologue: Embodied Reasoning through Planning with Language Models
Huang, W., Xia, F., Xiao, T., Chan, H., Liang, J., Florence, P., Zeng, A., Tompson, J., Mordatch, I., Chebotar, Y., et al. (2022) · arXiv
AI-based Problem Solving and PlanningRobot Manipulation and Learning
Cited by 287
- Verified
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Huang, W., Wang, C., Zhang, R., Li, Y., Wu, J., & Fei-Fei, L. (2023) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 81
- Verified
Transparency in the reporting of in vivo pre-clinical pain research: The relevance and implications of the ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines
Rice, A. S. C., Morland, R., Huang, W., Currie, G. L., Sena, E. S., & Macleod, M. R. (2013) · Scandinavian Journal of Pain
Animal testing and alternativesMeta-analysis and systematic reviews
Cited by 42
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