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Found 5 papers, 3 papers with code
Empowering Large Language Models on Robotic Manipulation with Affordance Prompting
While large language models (LLMs) are successful in completing various language processing tasks, they easily fail to interact with the physical world by generating control sequences properly.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
In this paper, we present XuanCe, a comprehensive and unified deep reinforcement learning (DRL) library designed to be compatible with PyTorch, TensorFlow, and MindSpore.
Robust Navigation with Cross-Modal Fusion and Knowledge Transfer
We consider the problem of improving the generalization of mobile robots and achieving sim-to-real transfer for navigation skills.
Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions
The performances on the representative VLN task R2R show that our method surpasses the leading zero-shot VLN model by a large margin on all metrics.
Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation
Scene graph generation is a sophisticated task because there is no specific recognition pattern (e. g., "looking at" and "near" have no conspicuous difference concerning vision, whereas "near" could occur between entities with different morphology).
Ranked #1 on
Predicate Classification
on Visual Genome
(mean Recall @20 metric)
