Intelligent Autonomous Manipulation Lab
The Intelligent Autonomous Manipulation Lab at Carnegie Mellon University Robotics Institute develops AI and learning methods for general-purpose robots capable of performing manipulation tasks in complex, open-world environments. Research focuses on enabling robots to model tasks and acquire versatile, robust manipulation skills efficiently.
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
A fusion prediction model of tool wear based on physical information and machine learning in five-axis milling TC4 titanium alloy
Shaoqing Qin, Lida Zhu, Yanpeng Hao +7 more
Robotics and Computer-Integrated Manufacturing · 2026
Artificial Intelligence enhanced smart welding islands: Foundation models revolutionizing manufacturing
Xiwei Wu, Wei Wu, Qiqi Chen +6 more
Robotics and Computer-Integrated Manufacturing · 2026
Collision feedback-based lateral undulation with admittance control: Enabling serpentine robots to traverse 3D obstacles
Xingguo Song, Rui Bai, Jinru Man +2 more
Robotics and Autonomous Systems · 2026
Generalized machine learning model for deformation prediction and compensation in robotic machining
Taehwa Hong, Gyuho Kim, Seong Hyeon Kim +1 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
Robotics and AI for prefabrication of steel building components: Systematic review and future roadmap
Misha Afaq, Souravik Dutta, Arash Hosseini Gourabpasi +2 more
Automation in Construction · 2026