Inquisitive Robotics Lab
The Inquisitive Robotics Lab at Yale focuses on interactive robot learning, developing algorithms that enable robots to ask for help and structure interactions with human teachers. Research aims to create adaptive, collaborative robots that can interpret human feedback and adapt task knowledge to novel situations.
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
Learning passive variable impedance skills for contact-rich tasks via conservative extended dynamical systems
Pingyun Nie, Jiexin Zhang, Tianxiang Jiang +4 more
Robotics and Computer-Integrated Manufacturing · 2027
A hierarchical federated learning approach based on cloud–fog–edge computing architecture for distributed smart manufacturing systems
Wenyou Guo, Ting Qu, Yongheng Zhang +2 more
Robotics and Computer-Integrated Manufacturing · 2026
A hierarchical approach to imitation learning for manipulation tasks requiring time varying forces
Rishabh Shukla, Adithya Santhosh, Shaili Gandhi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
What Are We Actually Benchmarking in Robot Manipulation?
Tianchong Jiang, Xiangshan Tan, Samuel Wheeler +3 more
2026
DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
Junyi Cao, Yian Wang, Ziyan Xiong +3 more
2026
VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models
Dehao Huang, Aoxiang Gu, Chengjie Zhang +5 more
2026