Prof. Majid Khadiv — Research Profile
Technical University of Munich · Department of Computer Engineering
About
Prof. Majid Khadiv at Technical University of Munich Department of Computer Engineering lists AI Planning in Dynamic Environments as their registered research area.
Research keywords
Recent papers
- DiPLO: Self-distilled Diffusion Planning for Loco-manipulationNewPreprintarXiv (Cornell University) · Oct 17
- FERPO: Forward Entropy-Regularized Policy OptimizationPreprintarXiv (Cornell University) · Oct 1
- Res-HIL: Human-Guided Residual Reinforcement Learning for Sample-Efficient Dexterous ManipulationPreprintarXiv (Cornell University) · Sep 24
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Bernd Finkbeiner 교수 연구실
Technical University of Munich · Department of Computer Science
Flowing Through States: Neural ODE Regularization for Reinforcement LearningPreprintarXiv (Cornell University) · Aug 6Shared topic: Reinforcement Learning in Robotics
Matthias Grabmair 교수 연구실
Technical University of Munich · Department of Computer Science
Bridged Self-Distillation for On-Policy LearningNewPreprintarXiv (Cornell University) · Oct 19Shared topic: Reinforcement Learning in Robotics
Angela Dai 교수 연구실
Technical University of Munich · Department of Computer Science
DynaRetarget: Dynamically-Feasible Retargeting Using Sampling-Based Trajectory OptimizationIEEE Robotics and Automation Letters · Sep 2Shared topic: Human Motion and Animation
Other labs in this department
- Achim Lilienthal 교수 연구실
Perception for Intelligent Systems
- Alexander König 교수 연구실
Robotics Science and System Intelligence
- Alin Albu-Schäffer 교수 연구실
Sensor-based Robot Systems and Intelligent Assistance Systems
- Alois Christian Knoll 교수 연구실
Robotics, AI and Realtime Systems
- Amr Alanwar Abdelhafez 교수 연구실
Cyber-Physical Systems
- Andreas Herkersdorf 교수 연구실
Integrated Systems