Weiyu Liu

I am a Robotics Ph.D. student at Georgia Institute of Technology, where I am advised by professor Sonia Chernova. In the summer of 2021, I interned at Nvidia Research, working with Dieter Fox, Tucker Hermans, and Chris Paxton. Prior to joining the PhD program, I received my Bachelor’s degree in Electrical Engineering from Georgia Tech.

My goal is to develop robots that can effectively perceive, model, and interact with objects in the real world. Towards this goal, I study the representation and reasoning of semantic knowledge, which can concisely describe target domains with symbols and reveal meaningful patterns shared between problems and environments (e.g., clean cups are likely to be found in kitchen cabinets) . My research develops semantic reasoning frameworks capable of modeling complex semantic knowledge grounded in robot perception and action.

Email  /  CV  /  Google Scholar  /  Github

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survey_png A Survey of Semantic Reasoning Frameworks for Robotic Systems

Weiyu Liu*, Angel Daruna*, Sonia Chernova
Under Review, 2020
preprint
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects

Weiyu Liu, Chris Paxton, Tucker Hermans, Dieter Fox
Under Review, 2021
arxiv / website
Learning Instance-Level N-Ary Semantic Knowledge At Scale For Robots Operating in Everyday Environments

Weiyu Liu, Dhruva Bansal, Angel Daruna, Sonia Chernova
Robotics: Science and Systems (RSS), 2021
paper / code & data / talk / bibtex
Towards Robust One-shot Task Execution using Knowledge Graph Embeddings

Angel Daruna, Lakshmi Nair, Weiyu Liu, Sonia Chernova
International Conference on Robotics and Automation (ICRA), 2021
arxiv / bibtex
An Affordance Keypoint Detection Network for Robot Manipulation

Ruinian Xu, Fu-Jen Chu, Chao Tang, Weiyu Liu, Patricio Vela
IEEE Robotics and Automation Letters (RA-L), 2021
paper / code & data / bibtex
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping

Adithya Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta
Conference on Robot Learning (CoRL), 2020
arxiv / code & data / video / talk / project page / bibtex
CAGE: Context-Aware Grasping Engine

Weiyu Liu, Angel Daruna, Sonia Chernova
International Conference on Robotics and Automation (ICRA), 2020
arxiv / code & data / video / press / bibtex
Path Ranking with Attention to Type Hierarchies

Weiyu Liu, Angel Daruna, Zsolt Kira, Sonia Chernova
Conference on Artificial Intelligence (AAAI), 2020   (Oral Presentation)
arxiv / code / bibtex
b3do Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks

Siddhartha Banerjee*, Angel Daruna*, David Kent*, Weiyu Liu*, Jonathan Balloch, Abhinav Jain, Akshay Krishnan, Muhammad Asif Rana, Harish Ravichandar, Binit Shah, Nithin Shrivatsav, Sonia Chernova
International Symposium on Robotics Research (ISRR), 2019
paper / code / bibtex
RoboCSE: Robot Common Sense Embedding

Angel Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova
International Conference on Robotics and Automation (ICRA), 2019
arxiv / code & data / video / bibtex
Autonomous flying blimp interaction with human in an indoor space

Ningshi Yao, Qiuyang Tao, Weiyu Liu, Zhen Liu, Ye Tian, Peiyu Wang, Timothy Li, Fumin Zhang,
Frontiers of Information Technology & Electronic Engineering, 2019
paper / bibtex
b3do SiRoK: Situated Robot Knowledge - Understanding the Balance Between Situated Knowledge and Variability

Sonia Chernova, Vivian Chu, Angel Daruna, Haley Garrison, Meera Hahn, Priyanka Khante, Weiyu Liu, Andrea Thomaz,
AAAI Spring Symposium Series (AAAI-SSS), 2018
paper / bibtex
Situated Bayesian Reasoning Framework for Robots Operating in Diverse Everyday Environments

Sonia Chernova, Vivian Chu, Angel Daruna, Haley Garrison, Meera Hahn, Priyanka Khante, Weiyu Liu, Andrea Thomaz,
International Symposium on Robotics Research (ISRR), 2017
paper / bibtex

Website source from Jon Barron