Yi Ru Wang

According to our database, Yi Ru Wang authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation.

Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo

CoRR, 2024

Manipulate-Anything: Automating Real-World Robots using Vision-Language Models.

Jiafei Duan, Wentao Yuan, Wilbert Pumacay, Yi Ru Wang, Kiana Ehsani, Dieter Fox, Ranjay Krishna

CoRR, 2024

2023

Read My Mind: A Multi-Modal Dataset for Human Belief Prediction.

Jiafei Duan, Samson Yu, Nicholas Tan, Yi Ru Wang, Cheston Tan

CoRR, 2023

A Study of Comfortability between Interactive AI and Human.

Yi Ru Wang, Jiafei Duan, Sidharth Talia, Hao Zhu

CoRR, 2023

MVTrans: Multi-View Perception of Transparent Objects.

Yi Ru Wang, Yuchi Zhao, Haoping Xu, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

NEWTON: Are Large Language Models Capable of Physical Reasoning?

Yi Ru Wang, Jiafei Duan, Dieter Fox, Siddhartha S. Srinivasa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AR2-D2: Training a Robot Without a Robot.

Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna

Proceedings of the Conference on Robot Learning, 2023

2021

Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset.

Sagi Eppel, Haoping Xu, Yi Ru Wang, Alán Aspuru-Guzik

CoRR, 2021

CONetV2: Efficient Auto-Channel Size Optimization for CNNs.

Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects.

Haoping Xu, Yi Ru Wang, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021