20 citations · 29 across the 12 of their papers we have counts for
13 papers
Learning to Compose: Recursive Self-Improvement of Shared Executable Stacks for Zero-Shot Long-Horizon Robot Manipulation
Yangzhi Chen, Feiran Liu, Zishuo Wang +4
Individually competent robot skills can fail when composed: tools may lack a required capability, completion signals may misrepresent physical progress, and one skill may leave a s…
Linear Temporal Logic Translation via Human-Inspired Self-Constrained Reasoning for Robot Task Specification
Haofei Hou, Fanxu Meng, Shunyi Zhao +4
Many robotic tasks are temporally extended and demand precise specifications of subgoals, constraints, and their temporal ordering. Yet human operators typically communicate such t…
Improving Human Diving Endurance with a Field-Deployable Exoskeleton
Zhihao Zhou, Zhenmeng Ju, Rui Yang +7
Human endurance in underwater locomotion is fundamentally restricted by high energetic demands to overcome drag while managing a finite supply of self-contained breathing gas. Here…
BioPIE: A Biomedical Protocol Information Extraction Dataset for Experiment Understanding
Haofei Hou, Shunyi Zhao, Fanxu Meng +3
Understanding biomedical experiments provides a foundation for downstream tasks, e.g., laboratory automation, and facilitates effective cross-disciplinary communication. Two challe…
Automated Constraint Specification for Job Scheduling by Regulating Generative Model with Domain-Specific Representation
Yu-Zhe Shi, Qiao Xu, Yanjia Li +4
Advanced Planning and Scheduling (APS) systems have become indispensable for modern manufacturing operations, enabling optimized resource allocation and production efficiency in in…
Targeted control of fast prototyping through domain-specific interface
Yu-Zhe Shi, Mingchen Liu, Hanlu Ma +5
Industrial designers have long sought a natural and intuitive way to achieve the targeted control of prototype models -- using simple natural language instructions to configure and…
Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs
Yu-Zhe Shi, Mingchen Liu, Fanxu Meng +5
Self-driving laboratories have begun to replace human experimenters in performing single experimental skills or predetermined experimental protocols. However, as the pace of idea i…
Expert-level protocol translation for self-driving labs
Yu-Zhe Shi, Fanxu Meng, Haofei Hou +4
Recent development in Artificial Intelligence (AI) models has propelled their application in scientific discovery, but the validation and exploration of these discoveries require s…
Constraint representation towards precise data-driven storytelling
Yu-Zhe Shi, Haotian Li, Lecheng Ruan +1
Data-driven storytelling serves as a crucial bridge for communicating ideas in a persuasive way. However, the manual creation of data stories is a multifaceted, labor-intensive, an…
Abstract Hardware Grounding towards the Automated Design of Automation Systems
Yu-Zhe Shi, Qiao Xu, Fanxu Meng +2
Crafting automation systems tailored for specific domains requires aligning the space of human experts' semantics with the space of robot executable actions, and scheduling the req…
An Illumination-Robust Feature Extractor Augmented by Relightable 3D Reconstruction
Shunyi Zhao, Zehuan Yu, Zuxin Fan +3
Visual features, whose description often relies on the local intensity and gradient direction, have found wide applications in robot navigation and localization in recent years. Ho…
AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints
Yu-Zhe Shi, Haofei Hou, Zhangqian Bi +4
Accurate representation of procedures in restricted scenarios, such as non-standardized scientific experiments, requires precise depiction of constraints. Unfortunately, Domain-spe…
Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects
Zihang Zhao, Yuyang Li, Wanlin Li +4
Integrating robots into human-centric environments such as homes, necessitates advanced manipulation skills as robotic devices will need to engage with articulated objects like doo…