

Gensim
Overview :
GenSim leverages large language models to generate a vast number of robot simulation tasks, supporting both goal-oriented and exploratory generation modes. It can be used for multi-task strategy training and task-level generalization.
By extending the existing benchmark by over 10 times using GPT-4, GenSim supports over 100 tasks. It generates code for robot simulation tasks through supervised fine-tuning and evaluation of multiple LLMs, including fine-tuned GPT and Code Llama. The multi-task strategies pre-trained on GPT-4 generated simulation tasks demonstrate significantly enhanced transferability in the real world, surpassing the baseline by over 25% after minimal simulation-to-real adaptation.
Target Users :
Suitable for generating robot simulation tasks and multi-task strategy training.
Use Cases
Use GenSim to generate robot simulation tasks for multi-task strategy training
Use GenSim to generate robot simulation tasks for task-level generalization
Use GenSim to generate code for robot simulation tasks for robot simulation task development
Features
Uses large language models to generate robot simulation tasks
Supports goal-oriented and exploratory generation modes
Can be used for multi-task strategy training and task-level generalization
Extends existing benchmarks by over 10 times using GPT-4, supporting over 100 tasks
Supports code generation for robot simulation tasks
Multi-task strategies pre-trained on GPT-4 generated simulation tasks demonstrate significantly enhanced transferability in the real world, surpassing the baseline by over 25% after minimal simulation-to-real adaptation
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