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Entities25 of 207,987
- large language modeltechnology1,043 mentions
- robotic manipulationmarket824 mentions
- artificial intelligencetechnology739 mentions
- reinforcement learningtechnology491 mentions
- density-functional theorytechnology386 mentions
- Transformertechnology371 mentions
- agentic AItechnology353 mentions
- vision-language-action modeltechnology350 mentions
- U.S. Food and Drug Administrationorganization320 mentions
- Vision-Language Modeltechnology318 mentions
- Microsoftorganization291 mentions
- Googleorganization276 mentions
- NVIDIAorganization264 mentions
- Model Context Protocoltechnology232 mentions
- machine learningtechnology204 mentions
- MarketsandMarketsorganization199 mentions
- Claudeproduct192 mentions
- AI agenttechnology188 mentions
- ChatGPTproduct178 mentions
- Anthropicorganization177 mentions
- integrated sensing and communicationtechnology175 mentions
- Amazon Web Services, Inc.organization174 mentions
- OpenAIorganization172 mentions
- diffusion modeltechnology169 mentions
- IBMorganization163 mentions
Entity
imitation learning
technology106 mentionslast seen Nov 12, 2026
A machine learning approach where a model learns to replicate behaviors from demonstrations.
Relationships 50+
- imitation learningapplies torobotic manipulation99% confidence9 sources
- diffusion policydepends onimitation learning99% confidence5 sources
- ACTdepends onimitation learning99% confidence2 sources
- SmolVLAdepends onimitation learning99% confidence2 sources
- Parallel Rapid Imaging with Spectroscopic Mappingdepends onimitation learning98% confidence2 sources
- PaIR-Drivedepends onimitation learning95% confidence1 source
- vision-language-action modeldepends onimitation learning95% confidence1 source
- EgoSpeedUpdepends onimitation learning95% confidence1 source
- Interactive Imitation Learningdepends onimitation learning95% confidence1 source
- imitation learningapplies toautonomous driving95% confidence1 source
- NeurPRISEdepends onimitation learning93% confidence1 source
- diffusion modeldepends onimitation learning93% confidence1 source
- tactile-augmented precision assemblydepends onimitation learning93% confidence1 source
- TransMASKdepends onimitation learning90% confidence1 source
- TAVISdepends onimitation learning90% confidence1 source
- imitation learningapplies todexterous manipulation90% confidence1 source
- imitation learningdepends onforce-aware data collection90% confidence1 source
- ARMORdepends onimitation learning90% confidence1 source
- pedicel-targeted graspingdepends onimitation learning90% confidence1 source
- anatomy-anchored imitation learningdepends onimitation learning90% confidence1 source
- SCRIMdepends onimitation learning90% confidence1 source
- Geometric Entropyapplies toimitation learning90% confidence1 source
- Z01depends onimitation learning90% confidence1 source
- vision-language grounded task-context-aware imitation learningdepends onimitation learning90% confidence1 source
- pi0.5depends onimitation learning90% confidence1 source
- Policy-Calibrated DAggerdepends onimitation learning90% confidence1 source
- SurgVILdepends onimitation learning90% confidence1 source
- multi-teacher distillationdepends onimitation learning90% confidence1 source
- Z01implementsimitation learning90% confidence1 source
- Rewind-ILdepends onimitation learning90% confidence1 source
- Large Reward Modeldepends onimitation learning90% confidence1 source
- Behavior Cloningdepends onimitation learning90% confidence1 source
- LSTM-GMMdepends onimitation learning90% confidence1 source
- Implicit Behavior Cloningdepends onimitation learning90% confidence1 source
- Vector-Quantized Behavior Transformerdepends onimitation learning90% confidence1 source
- visuomotor policydepends onimitation learning90% confidence1 source
- PLATdepends onimitation learning89% confidence1 source
- hybrid soft-rigid robotdepends onimitation learning88% confidence1 source
- imitation learningapplies torobotic fine-grained manipulation88% confidence1 source
- adaptive whole-body loco-manipulationcompetes withimitation learning88% confidence1 source
- RE4depends onimitation learning88% confidence1 source
- adaptive-contact frameworkdepends onimitation learning88% confidence1 source
- imitation learningimplementsneural model predictive control88% confidence1 source
- imitation learningdepends onrecurrent behavioral memory88% confidence1 source
- SimRetractdepends onimitation learning88% confidence1 source
- Hybrid Imitation Learningdepends onimitation learning88% confidence1 source
- imitation learningapplies toindustrial automation88% confidence1 source
- RePO-VLAdepends onimitation learning85% confidence1 source
- imitation learningdepends ondigital teleoperation85% confidence1 source
- imitation learningdepends onMILE exoskeleton85% confidence1 source
Relationship
imitation learningapplies torobotic manipulation
99% confidence9 supporting mentions
Either name opens that entity’s relationships.
Sources 9
- preprintarXivNov 7, 2026Geometric Entropy: When Trajectory Diversity Helps and Hurts in Imitation Learning
across multiple IL architectures and both simulated and real-robot contact-rich manipulation tasks
- preprintarXivNov 6, 2026Improving Imitation Learning Efficiency for Manipulation through Geometric Prior Pretraining
Applying an imitation learning policy to a new manipulation task
- preprintarXivNov 2, 2026How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preference
we learn a robust initial policy via force-aware data collection and imitation learning, enabling generalization across object variations
- preprintarXivOct 21, 2026Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation
imitation learning wherein MiTaS achieves an average success rate of 80 \%, while vision-only (35.5\,\%) and visuotactile (55.5\,\%, 63\,\%) baselines
- preprintarXivOct 16, 2026Hardware-as-Regularization: Enhancing Data Consistency in Imitation Learning via an Adjustable Passive Compliant Leader Arm
downstream success rates (e.g., 73.3% vs. 36.7% on Block Stacking)
- preprintarXivOct 5, 2026Disambiguate Gripper State in Grasp-Based Tasks: Pseudo-Tactile as Feedback Enables Pure Simulation Learning
Grasp-based manipulation tasks are fundamental to robots interacting with their environments, yet gripper state ambiguity significantly reduces the robustness of imitation learning policies
- preprintarXivSep 29, 2026Memorize, Adapt, Ignore: Diagnosing Robot Learning Mechanisms under Training Data Variation
curating demonstrations for imitation learning, is a primary lever for improving the robustness of robotic manipulation policies
- preprintarXivMay 22, 2026Instrumentation for Imitation Learning: Enhancing Training Datasets for Clothes Hanger Insertion
instrumentation as a promising strategy to enhance imitation learning for robotic manipulation
- preprintarXivAug 13, 2025Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control
Imitation learning is an efficient method for teaching robots a variety of tasks