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Multi-Task Robotic Manipulation
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
Published:2/27/2025
Vision-Language-Action ModelMulti-Task Robotic ManipulationOpen-Ended Instruction FollowingComplex Instruction ProcessingRobotic Feedback Mechanism
The system utilizes hierarchical visionlanguage models to effectively handle complex instructions and feedback, reasoning to determine the next steps in task execution, demonstrated across multiple robotic platforms for tasks like cleaning and making sandwiches.
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GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
Published:9/1/2023
Multi-Task Robotic ManipulationGeneralizable Neural Feature FieldsVisual Behavior CloningPerceiver TransformerStable Diffusion Model
GNFactor proposes a behavior cloning agent using Generalizable Neural Feature Fields, enhancing robots' multitask manipulation in complex environments by optimizing reconstruction and decisionmaking modules. It significantly improves 3D structure understanding and semantic comp
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RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models
Published:8/4/2025
In-Context Adaptability for Vision-Language-Action ModelsTask Learning Without Parameter Fine-TuningRobot Demonstration DatasetInjection of In-Context LearningMulti-Task Robotic Manipulation
The RICL framework injects incontext adaptability into pretrained VisionLanguageAction (VLA) models via a specific finetuning approach, enabling users to improve performance using only 1020 task demonstrations without parameter tuning.
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ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic
Manipulation
Published:3/13/2024
3D Gaussian Splatting representationMultimodal Robot LearningMulti-Task Robotic ManipulationFuture Scene ReconstructionDynamic Semantic Propagation
ManiGaussian uses dynamic Gaussian splatting and future scene reconstruction to capture spatiotemporal dynamics for multitask robotic manipulation, outperforming stateoftheart methods by 13.1% in success rate on RLBench benchmarks.
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